From bee00e28149a9d4cf8c8d98eb2d4cc0b22d47409 Mon Sep 17 00:00:00 2001 From: Gabe Becker Date: Tue, 11 Aug 2026 13:43:23 -0700 Subject: [PATCH 01/26] add grouped_cols_w_subgrps --- NAMESPACE | 1 + R/risk_diff_col_struct.R | 88 +++++++++++++++++++++++++++++++++++++ man/grouped_cols_w_diffs.Rd | 20 +++++++++ 3 files changed, 109 insertions(+) diff --git a/NAMESPACE b/NAMESPACE index e59dcb6f..c38fa9d0 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -64,6 +64,7 @@ export(get_ref_info) export(get_titles_from_file) export(get_visit_levels) export(grouped_cols_w_diffs) +export(grouped_cols_w_subgrps) export(h_extract_coxreg_multivar) export(h_get_design_mat) export(h_get_trtvar_refpath) diff --git a/R/risk_diff_col_struct.R b/R/risk_diff_col_struct.R index 8504cd0f..56fd6dcc 100644 --- a/R/risk_diff_col_struct.R +++ b/R/risk_diff_col_struct.R @@ -688,3 +688,91 @@ add_combo_levs_to_trtmap <- function(trtmap, combo_map) { .map_sect_to_post_fun <- function(map) { cond_rm_facets(map[[2]], value = unique(map[[1]]), keep_matches = TRUE) } + +#' @rdname grouped_cols_w_diffs +#' @param subgroupvar (`character(1)` or `NULL`)\cr the name of the subgroup variable to split by within the `trtvar` split +#' @param subgrplbl (`character(1)` or `NULL`)\cr the spanning label to plae over the subgroups, if different than `subgrpvar` +#' +#' @details `grouped_cols_w_subgrps` creates a hierarchical column structure that splits by `trtvar`, +#' underneath which is a spanning label over a split with a Total column along with columns for +#' each level of `subgrpvar`. +#' @export +grouped_cols_w_subgrps <- function(lyt, + colspan_trt_map = NULL, + combo_map_df = NULL, + trtvar = names(colspan_trt_map)[2], + subgrpvar = NULL, + subgrplbl = subgrpvar, + .pre = list(), + .post = list() + ) { + + if (is.null(trtvar)) { + stop("trtvar must be specified if no colspan map is provided.") + } + + if (is.null(subgrpvar)) { + stop( + "no subgroup variable specified, use grouped_cols_w_diffs with diff_cols=FALSE ", + "to create a grouped column structure with no subgrouping." + ) + } + spanvar <- names(colspan_trt_map)[1] + + if (!is.null(combo_map_df)) { + if (!("is_control" %in% names(combo_map_df))) { + combo_map_df$is_control <- FALSE + } + main_post <- lapply( + seq_len(NROW(combo_map_df)), + function(i) { + force(i) + add_combo_facet( + name = combo_map_df$valname[i], + label = combo_map_df$label[i], + levels = combo_map_df$levelcombo[[i]], + extra = combo_map_df$exargs[[i]] + ) + } + ) + + combo_nms <- combo_map_df$valname + + ## we're guaranteed to have some combo levels at this point + combo_found <- combo_nms %in% colspan_trt_map[[trtvar]] + if (!any(combo_found)) { + message( + "none of the combination levels appeared in the colspan treatment map;", + " adding them automatically." + ) + colspan_trt_map <- add_combo_levs_to_trtmap(colspan_trt_map, combo_map_df) + } else if (any(!combo_found)) { + warning("some combination levels defined in combo_map_df do not appear in colspan_trt_map") + } + } else { + main_post <- list() + } + + main_post <- c(main_post, .trtmap_to_post_funs(colspan_trt_map), .post) + + main_splfun <- make_split_fun(pre = .pre, post = main_post) + + if (!is.null(spanvar)) { ## iff we have a colspan trt map + lyt <- lyt |> + split_cols_by(spanvar, split_fun = keep_split_levels(only = unique(colspan_trt_map[[spanvar]]), reorder = TRUE )) + } + + lyt <- lyt |> + split_cols_by(trtvar, split_fun = main_splfun) |> + split_cols_by(trtvar, + split_fun = make_split_fun( + post = list( + add_overall_facet(subgrplbl, subgrplbl), + restrict_facets(subgrplbl, op = "keep") + ))) |> + split_cols_by( + subgrpvar, + split_fun = add_overall_level("Total", first = TRUE) + ) + lyt +} \ No newline at end of file diff --git a/man/grouped_cols_w_diffs.Rd b/man/grouped_cols_w_diffs.Rd index c1efa810..b941129b 100644 --- a/man/grouped_cols_w_diffs.Rd +++ b/man/grouped_cols_w_diffs.Rd @@ -2,6 +2,7 @@ % Please edit documentation in R/risk_diff_col_struct.R \name{grouped_cols_w_diffs} \alias{grouped_cols_w_diffs} +\alias{grouped_cols_w_subgrps} \title{Standard Column Structure With Grouped Treatments and Difference Columns} \usage{ grouped_cols_w_diffs( @@ -16,6 +17,17 @@ grouped_cols_w_diffs( .rr_pre = list(), .rr_post = list() ) + +grouped_cols_w_subgrps( + lyt, + colspan_trt_map = NULL, + combo_map_df = NULL, + trtvar = names(colspan_trt_map)[2], + subgrpvar = NULL, + subgrplbl = subgrpvar, + .pre = list(), + .post = list() +) } \arguments{ \item{lyt}{(\code{PreDataTableLayouts}). The layout to modify. This @@ -57,6 +69,10 @@ faceting.} \item{.rr_post}{(\code{list} of \code{function}s). Passed to \code{\link[=make_multicomp_splfun]{make_multicomp_splfun()}} as \code{.post} for risk difference faceting.} + +\item{subgrplbl}{(\code{character(1)} or \code{NULL})\cr the spanning label to plae over the subgroups, if different than \code{subgrpvar}} + +\item{subgroupvar}{(\code{character(1)} or \code{NULL})\cr the name of the subgroup variable to split by within the \code{trtvar} split} } \value{ \code{lyt} updated with the specified main and risk difference @@ -113,6 +129,10 @@ been added if necessary). For the purposes of pathin in the resulting structure, \code{diffs_label} will be both the split name and split value of the parent containing the individual risk difference columns. + +\code{grouped_cols_w_subgrps} creates a hierarchical column structure that splits by \code{trtvar}, +underneath which is a spanning label over a split with a Total column along with columns for +each level of \code{subgrpvar}. } \seealso{ Other riskdiff_col_struct: From 64a7c43fa226a6fa524edca799690202f36fd9c9 Mon Sep 17 00:00:00 2001 From: munoztd0 Date: Wed, 12 Aug 2026 11:18:42 +0200 Subject: [PATCH 02/26] example for diff col --- R/risk_diff_col_struct.R | 23 +++++++++++++++++++++++ man/grouped_cols_w_diffs.Rd | 24 ++++++++++++++++++++++++ 2 files changed, 47 insertions(+) diff --git a/R/risk_diff_col_struct.R b/R/risk_diff_col_struct.R index 56fd6dcc..c21ab3e6 100644 --- a/R/risk_diff_col_struct.R +++ b/R/risk_diff_col_struct.R @@ -567,6 +567,29 @@ combodf_to_comp_map <- function(combodf, ref_lvls, all_base_lvls) { #' #' @family riskdiff_col_struct #' @export +#' @examples +#' colspan_var <- create_colspan_var( +#' data.frame(TRT01A = factor(c("Placebo", "Active 1", "Active 2"))), +#' non_active_grp = "Placebo", +#' non_active_grp_span_lbl = "Control", +#' active_grp_span_lbl = "Active Treatment", +#' colspan_var = "colspan_trt", +#' trt_var = "TRT01A" +#' ) +#' colspan_trt_map <- create_colspan_map( +#' colspan_var, +#' non_active_grp = "Placebo", +#' non_active_grp_span_lbl = "Control", +#' active_grp_span_lbl = "Active Treatment", +#' colspan_var = "colspan_trt", +#' trt_var = "TRT01A" +#' ) +#' +#' lyt <- basic_table() |> +#' grouped_cols_w_diffs(colspan_trt_map) |> +#' analyze("TRT01A", afun = function(x, ...) length(x)) +#' +#' build_table(lyt, colspan_var) grouped_cols_w_diffs <- function(lyt, colspan_trt_map, diff --git a/man/grouped_cols_w_diffs.Rd b/man/grouped_cols_w_diffs.Rd index b941129b..e5d9b57a 100644 --- a/man/grouped_cols_w_diffs.Rd +++ b/man/grouped_cols_w_diffs.Rd @@ -134,6 +134,30 @@ parent containing the individual risk difference columns. underneath which is a spanning label over a split with a Total column along with columns for each level of \code{subgrpvar}. } +\examples{ +trt_data <- create_colspan_var( + data.frame(TRT01A = factor(c("Placebo", "Active 1", "Active 2"))), + non_active_grp = "Placebo", + non_active_grp_span_lbl = "Control", + active_grp_span_lbl = "Active Treatment", + colspan_var = "colspan_trt", + trt_var = "TRT01A" +) +colspan_trt_map <- create_colspan_map( + trt_data, + non_active_grp = "Placebo", + non_active_grp_span_lbl = "Control", + active_grp_span_lbl = "Active Treatment", + colspan_var = "colspan_trt", + trt_var = "TRT01A" +) + +lyt <- basic_table() |> + grouped_cols_w_diffs(colspan_trt_map) |> + analyze("TRT01A", afun = function(x, ...) length(x)) + +build_table(lyt, trt_data) +} \seealso{ Other riskdiff_col_struct: \code{\link[=make_multicomp_splfun]{make_multicomp_splfun()}} From cf6730d5f18da7d4035129fd9556bc20c389452f Mon Sep 17 00:00:00 2001 From: munoztd0 Date: Wed, 12 Aug 2026 15:00:18 +0200 Subject: [PATCH 03/26] test: added unit test for grouped_cols_w_subgrps and example --- R/risk_diff_col_struct.R | 76 ++++++++++++++++++++++++--------- man/grouped_cols_w_diffs.Rd | 35 +++++++++++++-- tests/testthat/test-colstruct.R | 42 ++++++++++++++++++ 3 files changed, 131 insertions(+), 22 deletions(-) diff --git a/R/risk_diff_col_struct.R b/R/risk_diff_col_struct.R index c21ab3e6..68b3f3ef 100644 --- a/R/risk_diff_col_struct.R +++ b/R/risk_diff_col_struct.R @@ -713,22 +713,52 @@ add_combo_levs_to_trtmap <- function(trtmap, combo_map) { } #' @rdname grouped_cols_w_diffs -#' @param subgroupvar (`character(1)` or `NULL`)\cr the name of the subgroup variable to split by within the `trtvar` split -#' @param subgrplbl (`character(1)` or `NULL`)\cr the spanning label to plae over the subgroups, if different than `subgrpvar` -#' -#' @details `grouped_cols_w_subgrps` creates a hierarchical column structure that splits by `trtvar`, +#' @param subgroupvar (`character(1)` or `NULL`)\cr the name of the subgroup variable to split +#' by within the `trtvar` split +#' @param subgrplbl (`character(1)` or `NULL`)\cr the spanning label to place over the subgroups, +#' if different than `subgrpvar` +#' @details `grouped_cols_w_subgrps` creates a hierarchical column structure that splits by `trtvar`, #' underneath which is a spanning label over a split with a Total column along with columns for #' each level of `subgrpvar`. #' @export +#' @examples +#' colspan_var <- create_colspan_var( +#' data.frame( +#' TRT01A = factor(rep(c("Placebo", "Active 1"), each = 2)), +#' SEX = factor(rep(c("Female", "Male"), 2)) +#' ), +#' non_active_grp = "Placebo", +#' non_active_grp_span_lbl = "Control", +#' active_grp_span_lbl = "Active Treatment", +#' colspan_var = "colspan_trt", +#' trt_var = "TRT01A" +#' ) +#' colspan_trt_map <- create_colspan_map( +#' colspan_var, +#' non_active_grp = "Placebo", +#' non_active_grp_span_lbl = "Control", +#' active_grp_span_lbl = "Active Treatment", +#' colspan_var = "colspan_trt", +#' trt_var = "TRT01A" +#' ) +#' +#' lyt <- basic_table() |> +#' grouped_cols_w_subgrps( +#' colspan_trt_map, +#' subgrpvar = "SEX", +#' subgrplbl = "SUB_*" +#' ) |> +#' analyze("TRT01A", afun = function(x, ...) length(x)) +#' +#' build_table(lyt, colspan_var) grouped_cols_w_subgrps <- function(lyt, - colspan_trt_map = NULL, - combo_map_df = NULL, - trtvar = names(colspan_trt_map)[2], - subgrpvar = NULL, - subgrplbl = subgrpvar, - .pre = list(), - .post = list() - ) { + colspan_trt_map = NULL, + combo_map_df = NULL, + trtvar = names(colspan_trt_map)[2], + subgrpvar = NULL, + subgrplbl = subgrpvar, + .pre = list(), + .post = list()) { if (is.null(trtvar)) { stop("trtvar must be specified if no colspan map is provided.") @@ -781,21 +811,29 @@ grouped_cols_w_subgrps <- function(lyt, main_splfun <- make_split_fun(pre = .pre, post = main_post) if (!is.null(spanvar)) { ## iff we have a colspan trt map - lyt <- lyt |> - split_cols_by(spanvar, split_fun = keep_split_levels(only = unique(colspan_trt_map[[spanvar]]), reorder = TRUE )) + lyt <- lyt |> + split_cols_by( + spanvar, + split_fun = keep_split_levels( + only = unique(colspan_trt_map[[spanvar]]), + reorder = TRUE + ) + ) } - lyt <- lyt |> + lyt <- lyt |> split_cols_by(trtvar, split_fun = main_splfun) |> split_cols_by(trtvar, - split_fun = make_split_fun( + split_fun = make_split_fun( post = list( add_overall_facet(subgrplbl, subgrplbl), restrict_facets(subgrplbl, op = "keep") - ))) |> + ) + ) + ) |> split_cols_by( - subgrpvar, + subgrpvar, split_fun = add_overall_level("Total", first = TRUE) ) lyt -} \ No newline at end of file +} diff --git a/man/grouped_cols_w_diffs.Rd b/man/grouped_cols_w_diffs.Rd index e5d9b57a..58f9f880 100644 --- a/man/grouped_cols_w_diffs.Rd +++ b/man/grouped_cols_w_diffs.Rd @@ -135,7 +135,7 @@ underneath which is a spanning label over a split with a Total column along with each level of \code{subgrpvar}. } \examples{ -trt_data <- create_colspan_var( +colspan_var <- create_colspan_var( data.frame(TRT01A = factor(c("Placebo", "Active 1", "Active 2"))), non_active_grp = "Placebo", non_active_grp_span_lbl = "Control", @@ -144,7 +144,7 @@ trt_data <- create_colspan_var( trt_var = "TRT01A" ) colspan_trt_map <- create_colspan_map( - trt_data, + colspan_var, non_active_grp = "Placebo", non_active_grp_span_lbl = "Control", active_grp_span_lbl = "Active Treatment", @@ -156,7 +156,36 @@ lyt <- basic_table() |> grouped_cols_w_diffs(colspan_trt_map) |> analyze("TRT01A", afun = function(x, ...) length(x)) -build_table(lyt, trt_data) +build_table(lyt, colspan_var) +colspan_var <- create_colspan_var( + data.frame( + TRT01A = factor(rep(c("Placebo", "Active 1"), each = 2)), + SEX = factor(rep(c("Female", "Male"), 2)) + ), + non_active_grp = "Placebo", + non_active_grp_span_lbl = "Control", + active_grp_span_lbl = "Active Treatment", + colspan_var = "colspan_trt", + trt_var = "TRT01A" +) +colspan_trt_map <- create_colspan_map( + colspan_var, + non_active_grp = "Placebo", + non_active_grp_span_lbl = "Control", + active_grp_span_lbl = "Active Treatment", + colspan_var = "colspan_trt", + trt_var = "TRT01A" +) + +lyt <- basic_table() |> + grouped_cols_w_subgrps( + colspan_trt_map, + subgrpvar = "SEX", + subgrplbl = "SUB_*" + ) |> + analyze("TRT01A", afun = function(x, ...) length(x)) + +build_table(lyt, colspan_var) } \seealso{ Other riskdiff_col_struct: diff --git a/tests/testthat/test-colstruct.R b/tests/testthat/test-colstruct.R index 32ba20a1..c09073c3 100644 --- a/tests/testthat/test-colstruct.R +++ b/tests/testthat/test-colstruct.R @@ -416,3 +416,45 @@ test_that("grouped_cols_w_diffs works", { c("Risk Differences", "Risk Differences", "TRT01P", "Xanomeline High Dose vs Xanomeline Low Dose") ) }) + +test_that("grouped_cols_w_subgrps works", { + + subgrpvar <- "SEX" + subgrplbl <- "SUB_*" + subgrp_data <- adsl |> + mutate(!!subgrpvar := factor(rep(c("Female", "Male"), length.out = n()))) + + lyt1 <- basic_table() |> + grouped_cols_w_subgrps( + colspan_trt_map, + subgrpvar = subgrpvar, + subgrplbl = subgrplbl + ) |> + analyze(trtvar, afun = afun_refpath) + + tbl1 <- build_table(lyt1, subgrp_data) + + spanvar <- names(colspan_trt_map)[1] + subgrp_lvls <- c("Total", levels(subgrp_data[[subgrpvar]])) + expect_equal( + unclass(col_paths(tbl1)), + unlist( + lapply( + seq_len(NROW(colspan_trt_map)), + function(i) { + rw <- colspan_trt_map[i, ] + lapply( + subgrp_lvls, + function(lvl) { + c( + spanvar, rw[[spanvar]], trtvar, rw[[trtvar]], + trtvar, subgrplbl, subgrpvar, lvl + ) + } + ) + } + ), + recursive = FALSE + ) + ) +}) From dc2822b64771e1255c8caa1b6e007543bb9cf9a2 Mon Sep 17 00:00:00 2001 From: Gabe Becker Date: Wed, 12 Aug 2026 11:00:40 -0700 Subject: [PATCH 04/26] add shift table function --- NAMESPACE | 1 + R/risk_diff_col_struct.R | 85 +++++++++++++++++++++++++++++------- man/grouped_cols_w_diffs.Rd | 7 +-- man/make_multicomp_splfun.Rd | 7 +-- man/shift_tbl_col_struct.Rd | 44 +++++++++++++++++++ 5 files changed, 123 insertions(+), 21 deletions(-) create mode 100644 man/shift_tbl_col_struct.Rd diff --git a/NAMESPACE b/NAMESPACE index c38fa9d0..56b4e91c 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -142,6 +142,7 @@ export(s_summarize_mmrm) export(s_summary_diff) export(safe_prune_table) export(set_titles) +export(shift_tbl_col_struct) export(string_to_title) export(summarize_coxreg_multivar) export(summarize_lsmeans_wide) diff --git a/R/risk_diff_col_struct.R b/R/risk_diff_col_struct.R index 56fd6dcc..6500aff3 100644 --- a/R/risk_diff_col_struct.R +++ b/R/risk_diff_col_struct.R @@ -200,7 +200,7 @@ add_sib_facets <- function(comp_level, colspan_trt_map, combo_map_all) { #' functionality please contact the maintainers by filing an issue #' at https://github.com/johnsonandjohnson/junco/issues #' -#' @family riskdiff_col_struct +#' @family std_col_struct #' #' @export make_multicomp_splfun <- function(colspan_trt_map, @@ -565,7 +565,7 @@ combodf_to_comp_map <- function(combodf, ref_lvls, all_base_lvls) { #' column structures added #' #' -#' @family riskdiff_col_struct +#' @family std_col_struct #' @export grouped_cols_w_diffs <- function(lyt, @@ -698,14 +698,13 @@ add_combo_levs_to_trtmap <- function(trtmap, combo_map) { #' each level of `subgrpvar`. #' @export grouped_cols_w_subgrps <- function(lyt, - colspan_trt_map = NULL, - combo_map_df = NULL, - trtvar = names(colspan_trt_map)[2], - subgrpvar = NULL, - subgrplbl = subgrpvar, - .pre = list(), - .post = list() - ) { + colspan_trt_map = NULL, + combo_map_df = NULL, + trtvar = names(colspan_trt_map)[2], + subgrpvar = NULL, + subgrplbl = subgrpvar, + .pre = list(), + .post = list()) { if (is.null(trtvar)) { stop("trtvar must be specified if no colspan map is provided.") @@ -762,17 +761,73 @@ grouped_cols_w_subgrps <- function(lyt, split_cols_by(spanvar, split_fun = keep_split_levels(only = unique(colspan_trt_map[[spanvar]]), reorder = TRUE )) } - lyt <- lyt |> + lyt <- lyt |> split_cols_by(trtvar, split_fun = main_splfun) |> split_cols_by(trtvar, - split_fun = make_split_fun( + split_fun = make_split_fun( post = list( add_overall_facet(subgrplbl, subgrplbl), restrict_facets(subgrplbl, op = "keep") - ))) |> + ) + ) + ) |> split_cols_by( - subgrpvar, + subgrpvar, split_fun = add_overall_level("Total", first = TRUE) ) lyt -} \ No newline at end of file +} + +#' Create Column Structure for a J&J-Style Shift Table +#' +#' @param lyt (`PreDataTableLayouts`)\cr The layout, typically as +#' returned directly from `basic_table`. +#' @param var (`character(1)`)\cr The variable defining the partition +#' to create a shift table for. +#' @param span_lbl (`character(1)`)\cr The spanning label for the +#' shift portion of the column structure. Defaults to +#' `"Baseline"`. +#' @param .outer_spl_var (`character(1)`)\cr The variable to +#' "split on" when creating the spanning labels. Must exist in the +#' dataset(s) used in `build_table` but its values are irrelevant. +#' +#' @details This function creates a column structure akin to the following +#' (with Grade 1 through Grade 5 representing the levels of `var`): +#' +#' ``` +#' Baseline +#' N Grade 1 Grade 2 Grade 3 Grade 4 Grade 5 Total +#' —————————————————————————————————————————————————————————————— +#' ``` +#' @return `lyt` updated with the specified shift table column structure. +#' @family std_col_struct +#' @export +shift_tbl_col_struct <- function(lyt, + var, + span_lbl = "Baseline", + .outer_spl_var = var) { + outer_splfun <- make_split_fun( + post = list( + add_overall_facet("N", label = " "), + add_overall_facet("shift_table", label = span_lbl), + restrict_facets(c("N", "shift_table"), op = "keep") + ) + ) + + inner_splfun <- make_split_fun( + post = list( + add_overall_facet("Total", label = "Total"), + function(ret, spl, fulldf, .spl_context) { + if (.spl_context$value[[1]] == "N") { + make_split_result("N", labels = c(N = "N"), list(N = fulldf), subset_exprs = list(N = quote(TRUE))) + } else { + ret + } + } + )) + + lyt <- lyt |> + split_cols_by(.outer_spl_var, split_fun = outer_splfun) |> + split_cols_by(var, split_fun = inner_splfun) + lyt +} diff --git a/man/grouped_cols_w_diffs.Rd b/man/grouped_cols_w_diffs.Rd index b941129b..82b76fe7 100644 --- a/man/grouped_cols_w_diffs.Rd +++ b/man/grouped_cols_w_diffs.Rd @@ -135,7 +135,8 @@ underneath which is a spanning label over a split with a Total column along with each level of \code{subgrpvar}. } \seealso{ -Other riskdiff_col_struct: -\code{\link[=make_multicomp_splfun]{make_multicomp_splfun()}} +Other std_col_struct: +\code{\link[=make_multicomp_splfun]{make_multicomp_splfun()}}, +\code{\link[=shift_tbl_col_struct]{shift_tbl_col_struct()}} } -\concept{riskdiff_col_struct} +\concept{std_col_struct} diff --git a/man/make_multicomp_splfun.Rd b/man/make_multicomp_splfun.Rd index a0daf98d..a47b8253 100644 --- a/man/make_multicomp_splfun.Rd +++ b/man/make_multicomp_splfun.Rd @@ -144,7 +144,8 @@ functionality please contact the maintainers by filing an issue at https://github.com/johnsonandjohnson/junco/issues } \seealso{ -Other riskdiff_col_struct: -\code{\link[=grouped_cols_w_diffs]{grouped_cols_w_diffs()}} +Other std_col_struct: +\code{\link[=grouped_cols_w_diffs]{grouped_cols_w_diffs()}}, +\code{\link[=shift_tbl_col_struct]{shift_tbl_col_struct()}} } -\concept{riskdiff_col_struct} +\concept{std_col_struct} diff --git a/man/shift_tbl_col_struct.Rd b/man/shift_tbl_col_struct.Rd new file mode 100644 index 00000000..afad5ae9 --- /dev/null +++ b/man/shift_tbl_col_struct.Rd @@ -0,0 +1,44 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/risk_diff_col_struct.R +\name{shift_tbl_col_struct} +\alias{shift_tbl_col_struct} +\title{Create Column Structure for a J&J-Style Shift Table} +\usage{ +shift_tbl_col_struct(lyt, var, span_lbl = "Baseline", .outer_spl_var = var) +} +\arguments{ +\item{lyt}{(\code{PreDataTableLayouts})\cr The layout, typically as +returned directly from \code{basic_table}.} + +\item{var}{(\code{character(1)})\cr The variable defining the partition +to create a shift table for.} + +\item{span_lbl}{(\code{character(1)})\cr The spanning label for the +shift portion of the column structure. Defaults to +\code{"Baseline"}.} + +\item{.outer_spl_var}{(\code{character(1)})\cr The variable to +"split on" when creating the spanning labels. Must exist in the +dataset(s) used in \code{build_table} but its values are irrelevant.} +} +\value{ +\code{lyt} updated with the specified shift table column structure. +} +\description{ +Create Column Structure for a J&J-Style Shift Table +} +\details{ +This function creates a column structure akin to the following +(with Grade 1 through Grade 5 representing the levels of \code{var}): + +\if{html}{\out{
}}\preformatted{ Baseline + N Grade 1 Grade 2 Grade 3 Grade 4 Grade 5 Total +—————————————————————————————————————————————————————————————— +}\if{html}{\out{
}} +} +\seealso{ +Other std_col_struct: +\code{\link[=grouped_cols_w_diffs]{grouped_cols_w_diffs()}}, +\code{\link[=make_multicomp_splfun]{make_multicomp_splfun()}} +} +\concept{std_col_struct} From 45ec9b5fb32f7ca93000549980a16ce83d62da32 Mon Sep 17 00:00:00 2001 From: munoztd0 Date: Thu, 13 Aug 2026 11:29:27 +0200 Subject: [PATCH 05/26] test: added shift_tbl_col_struct tests and examples --- R/risk_diff_col_struct.R | 12 ++++++++++++ man/grouped_cols_w_diffs.Rd | 6 ++++-- man/shift_tbl_col_struct.Rd | 12 ++++++++++++ tests/testthat/test-colstruct.R | 25 +++++++++++++++++++++++++ 4 files changed, 53 insertions(+), 2 deletions(-) diff --git a/R/risk_diff_col_struct.R b/R/risk_diff_col_struct.R index d0bed107..30a623ce 100644 --- a/R/risk_diff_col_struct.R +++ b/R/risk_diff_col_struct.R @@ -859,6 +859,18 @@ grouped_cols_w_subgrps <- function(lyt, #' N Grade 1 Grade 2 Grade 3 Grade 4 Grade 5 Total #' —————————————————————————————————————————————————————————————— #' ``` +#' +#' @examples +#' shift_data <- data.frame( +#' BASE = factor(c("Grade 1", "Grade 2", "Grade 3")), +#' CHG = c("Improved", "Stable", "Worsened") +#' ) +#' +#' lyt <- basic_table() |> +#' shift_tbl_col_struct("BASE") |> +#' analyze("CHG", afun = function(x, ...) length(x)) +#' +#' build_table(lyt, shift_data) #' @return `lyt` updated with the specified shift table column structure. #' @family std_col_struct #' @export diff --git a/man/grouped_cols_w_diffs.Rd b/man/grouped_cols_w_diffs.Rd index dc73d32a..4ad4402e 100644 --- a/man/grouped_cols_w_diffs.Rd +++ b/man/grouped_cols_w_diffs.Rd @@ -70,9 +70,11 @@ faceting.} \code{\link[=make_multicomp_splfun]{make_multicomp_splfun()}} as \code{.post} for risk difference faceting.} -\item{subgrplbl}{(\code{character(1)} or \code{NULL})\cr the spanning label to plae over the subgroups, if different than \code{subgrpvar}} +\item{subgrplbl}{(\code{character(1)} or \code{NULL})\cr the spanning label to place over the subgroups, +if different than \code{subgrpvar}} -\item{subgroupvar}{(\code{character(1)} or \code{NULL})\cr the name of the subgroup variable to split by within the \code{trtvar} split} +\item{subgroupvar}{(\code{character(1)} or \code{NULL})\cr the name of the subgroup variable to split +by within the \code{trtvar} split} } \value{ \code{lyt} updated with the specified main and risk difference diff --git a/man/shift_tbl_col_struct.Rd b/man/shift_tbl_col_struct.Rd index afad5ae9..dddbbd8d 100644 --- a/man/shift_tbl_col_struct.Rd +++ b/man/shift_tbl_col_struct.Rd @@ -36,6 +36,18 @@ This function creates a column structure akin to the following —————————————————————————————————————————————————————————————— }\if{html}{\out{}} } +\examples{ +shift_data <- data.frame( + BASE = factor(c("Grade 1", "Grade 2", "Grade 3")), + CHG = c("Improved", "Stable", "Worsened") +) + +lyt <- basic_table() |> + shift_tbl_col_struct("BASE") |> + analyze("CHG", afun = function(x, ...) length(x)) + +build_table(lyt, shift_data) +} \seealso{ Other std_col_struct: \code{\link[=grouped_cols_w_diffs]{grouped_cols_w_diffs()}}, diff --git a/tests/testthat/test-colstruct.R b/tests/testthat/test-colstruct.R index c09073c3..d005cb4e 100644 --- a/tests/testthat/test-colstruct.R +++ b/tests/testthat/test-colstruct.R @@ -458,3 +458,28 @@ test_that("grouped_cols_w_subgrps works", { ) ) }) + +test_that("shift_tbl_col_struct works", { + var <- "BASE" + span_lbl <- "Baseline Grade" + shift_data <- data.frame( + BASE = factor(c("Grade 1", "Grade 2", "Grade 3")), + CHG = c("Improved", "Stable", "Worsened") + ) + + lyt <- basic_table() |> + shift_tbl_col_struct(var, span_lbl = span_lbl) |> + analyze("CHG", afun = function(x, ...) length(x)) + tbl <- build_table(lyt, shift_data) + + expect_equal( + unclass(col_paths(tbl)), + c( + list(c(var, "N", var, "N")), + lapply( + c(levels(shift_data[[var]]), "Total"), + function(lvl) c(var, "shift_table", var, lvl) + ) + ) + ) +}) From fced7f9c1ed55d618b7b85e33120d42d0ca73b97 Mon Sep 17 00:00:00 2001 From: munoztd0 Date: Thu, 13 Aug 2026 14:46:46 +0200 Subject: [PATCH 06/26] doc: added .pre, and .post source documentation --- R/risk_diff_col_struct.R | 8 +++++++- man/grouped_cols_w_diffs.Rd | 13 +++++++++++-- 2 files changed, 18 insertions(+), 3 deletions(-) diff --git a/R/risk_diff_col_struct.R b/R/risk_diff_col_struct.R index 30a623ce..97029d2f 100644 --- a/R/risk_diff_col_struct.R +++ b/R/risk_diff_col_struct.R @@ -713,10 +713,16 @@ add_combo_levs_to_trtmap <- function(trtmap, combo_map) { } #' @rdname grouped_cols_w_diffs -#' @param subgroupvar (`character(1)` or `NULL`)\cr the name of the subgroup variable to split +#' @param trtvar (`character(1)` or `NULL`)\cr the treatment variable to split by. Defaults to the +#' treatment variable in `colspan_trt_map`. +#' @param subgrpvar (`character(1)` or `NULL`)\cr the name of the subgroup variable to split #' by within the `trtvar` split #' @param subgrplbl (`character(1)` or `NULL`)\cr the spanning label to place over the subgroups, #' if different than `subgrpvar` +#' @param .pre (`list` of `function`s)\cr Passed to [rtables::make_split_fun()] as `pre` for +#' treatment splitting. +#' @param .post (`list` of `function`s)\cr Passed to [rtables::make_split_fun()] as `post` for +#' treatment splitting after the standard column-structure processing. #' @details `grouped_cols_w_subgrps` creates a hierarchical column structure that splits by `trtvar`, #' underneath which is a spanning label over a split with a Total column along with columns for #' each level of `subgrpvar`. diff --git a/man/grouped_cols_w_diffs.Rd b/man/grouped_cols_w_diffs.Rd index 4ad4402e..15e67711 100644 --- a/man/grouped_cols_w_diffs.Rd +++ b/man/grouped_cols_w_diffs.Rd @@ -70,11 +70,20 @@ faceting.} \code{\link[=make_multicomp_splfun]{make_multicomp_splfun()}} as \code{.post} for risk difference faceting.} +\item{trtvar}{(\code{character(1)} or \code{NULL})\cr the treatment variable to split by. Defaults to the +treatment variable in \code{colspan_trt_map}.} + +\item{subgrpvar}{(\code{character(1)} or \code{NULL})\cr the name of the subgroup variable to split +by within the \code{trtvar} split} + \item{subgrplbl}{(\code{character(1)} or \code{NULL})\cr the spanning label to place over the subgroups, if different than \code{subgrpvar}} -\item{subgroupvar}{(\code{character(1)} or \code{NULL})\cr the name of the subgroup variable to split -by within the \code{trtvar} split} +\item{.pre}{(\code{list} of \code{function}s)\cr Passed to \code{\link[rtables:make_split_fun]{rtables::make_split_fun()}} as \code{pre} for +treatment splitting.} + +\item{.post}{(\code{list} of \code{function}s)\cr Passed to \code{\link[rtables:make_split_fun]{rtables::make_split_fun()}} as \code{post} for +treatment splitting after the standard column-structure processing.} } \value{ \code{lyt} updated with the specified main and risk difference From b4993b8c9ad2c3220b5220a1146adb8bb8857165 Mon Sep 17 00:00:00 2001 From: munoztd0 Date: Thu, 13 Aug 2026 14:54:14 +0200 Subject: [PATCH 07/26] add pkgdown docs --- _pkgdown.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/_pkgdown.yml b/_pkgdown.yml index 0bb95c8f..8a6dd76d 100644 --- a/_pkgdown.yml +++ b/_pkgdown.yml @@ -118,6 +118,7 @@ reference: - create_colspan_map - create_colspan_var - grouped_cols_w_diffs + - shift_tbl_col_struct - do_exclude_split - make_combo_splitfun - make_multicomp_splfun From 938e069ac5b26cd0169fdb6cbc6a8b6224b1b54c Mon Sep 17 00:00:00 2001 From: munoztd0 Date: Thu, 13 Aug 2026 16:58:28 +0200 Subject: [PATCH 08/26] lintr + news.md --- NEWS.md | 1 + R/risk_diff_col_struct.R | 121 ++++++++++++++++++++------------------- 2 files changed, 63 insertions(+), 59 deletions(-) diff --git a/NEWS.md b/NEWS.md index a0c520e8..acf18323 100644 --- a/NEWS.md +++ b/NEWS.md @@ -42,6 +42,7 @@ - Add extra statistics to `a_eair100_j` and introduce scaling factor `num_p_year` (default = 100) (#361) ### Added +- Added `grouped_cols_w_diffs()` for grouped treatment and risk-difference columns, `grouped_cols_w_subgrps()` for subgrouped treatment columns, and `shift_tbl_col_struct()` for shift-table column structures. - Added `categorize_pval()` for assigning p-values to validated, user-defined categories. - Added `pool_rubin_scalar()` and `pool_z_stat()` for pooling scalar estimates and z statistics across imputations. - Added `resp_multiple_imputation()` to impute missing binary responses across scenarios and pool CMH risk-difference and p-value results. diff --git a/R/risk_diff_col_struct.R b/R/risk_diff_col_struct.R index 97029d2f..9da1fa8a 100644 --- a/R/risk_diff_col_struct.R +++ b/R/risk_diff_col_struct.R @@ -32,7 +32,8 @@ do_sib_val_surgery <- function(splval, comp_lvl, newexargs, spl, comp_label) { surgical_suite <- function(orig_ret, comp_lvl, newexargs, spl, combo_map) { out <- orig_ret comp_label <- get_comp_label(comp_lvl, orig_ret, combo_map) - out$values <- lapply(out$values, + out$values <- lapply( + out$values, do_sib_val_surgery, comp_lvl = comp_lvl, newexargs = newexargs, @@ -203,11 +204,13 @@ add_sib_facets <- function(comp_level, colspan_trt_map, combo_map_all) { #' @family std_col_struct #' #' @export -make_multicomp_splfun <- function(colspan_trt_map, - combo_levels_map = NULL, - comp_level_map = NULL, - .pre = list(), - .post = list()) { +make_multicomp_splfun <- function( + colspan_trt_map, + combo_levels_map = NULL, + comp_level_map = NULL, + .pre = list(), + .post = list() +) { colspan_trt_map <- enrich_colspan_map(colspan_trt_map, combo_levels_map) if (is.null(comp_level_map)) { comp_levels <- get_all_comp_lvls(colspan_trt_map) @@ -234,9 +237,7 @@ make_multicomp_splfun <- function(colspan_trt_map, out <- lapply( names(ret), function(nm) { - unlist(lapply(seq_along(sib_sets), function(ii) sib_sets[[ii]][[nm]]), - recursive = FALSE - ) + unlist(lapply(seq_along(sib_sets), function(ii) sib_sets[[ii]][[nm]]), recursive = FALSE) } ) names(out) <- names(ret) @@ -248,10 +249,12 @@ make_multicomp_splfun <- function(colspan_trt_map, pre = .pre, post = c( funlst, - apply_comp_map(splvar = names(colspan_trt_map)[2], - comp_levels, - comp_map = comp_level_map, - combo_map = combo_levels_map), + apply_comp_map( + splvar = names(colspan_trt_map)[2], + comp_levels, + comp_map = comp_level_map, + combo_map = combo_levels_map + ), .post ) ) @@ -262,8 +265,10 @@ make_multicomp_splfun <- function(colspan_trt_map, enrich_colspan_map <- function(colspan_map, combodf) { ## assume if any combo levels are present that the ## missing ones are intentional - if (is.null(combodf) || - any(combodf$valname %in% colspan_map[[2]])) { + if ( + is.null(combodf) || + any(combodf$valname %in% colspan_map[[2]]) + ) { return(colspan_map) } combo_levs <- combodf$valname @@ -301,7 +306,6 @@ enrich_colspan_map <- function(colspan_map, combodf) { } - make_comp_name <- function(act_nm, comp_nm) paste0(act_nm, " vs ", comp_nm) ## conversion of names/labels to comparison versions is now @@ -333,13 +337,12 @@ expand_combo_map <- function(combo_map, ref_lvls) { } else { ## TODO this seems overkill for what is left inside ## the lapply, refactor into saner form - rws_out <- lapply(comp_against, - function(cur_ref_lvl) { - ref_lvl_ind <- match(cur_ref_lvl, ref_lvls) - cur_rw <- combo_map[ii, ] - cur_rw$comparator_level <- cur_ref_lvl - cur_rw - }) + rws_out <- lapply(comp_against, function(cur_ref_lvl) { + ref_lvl_ind <- match(cur_ref_lvl, ref_lvls) + cur_rw <- combo_map[ii, ] + cur_rw$comparator_level <- cur_ref_lvl + cur_rw + }) } do.call(rbind.data.frame, rws_out) @@ -423,13 +426,13 @@ combodf_to_comp_map <- function(combodf, ref_lvls, all_base_lvls) { combodf$valname[!combodf$is_control] ) if (!("compare_against" %in% names(combodf))) { - combodf$compare_against <- ifelse(combodf$is_control, + combodf$compare_against <- ifelse( + combodf$is_control, replicate(nrcombo, list(non_ref_lvls)), replicate(nrcombo, list(ref_lvls)) ) } - if (any(combodf$is_control) && !all(combodf$valname[combodf$is_control] %in% ref_lvls)) { stop( "Combination levels [", @@ -439,7 +442,6 @@ combodf_to_comp_map <- function(combodf, ref_lvls, all_base_lvls) { ) } - rws <- lapply( seq_len(nrcombo), function(i) { @@ -591,17 +593,19 @@ combodf_to_comp_map <- function(combodf, ref_lvls, all_base_lvls) { #' #' build_table(lyt, colspan_var) -grouped_cols_w_diffs <- function(lyt, - colspan_trt_map, - combo_map_df = NULL, - ## default behavior for comp_map is taken care of in make_multicomp_splfun - comp_map = NULL, - diff_cols = TRUE, - diffs_label = "Risk Differences", - .main_pre = list(), - .main_post = list(), - .rr_pre = list(), - .rr_post = list()) { +grouped_cols_w_diffs <- function( + lyt, + colspan_trt_map, + combo_map_df = NULL, + ## default behavior for comp_map is taken care of in make_multicomp_splfun + comp_map = NULL, + diff_cols = TRUE, + diffs_label = "Risk Differences", + .main_pre = list(), + .main_post = list(), + .rr_pre = list(), + .rr_post = list() +) { trtvar <- names(colspan_trt_map)[2] spanvar <- names(colspan_trt_map)[1] @@ -643,8 +647,6 @@ grouped_cols_w_diffs <- function(lyt, main_splfun <- make_split_fun(pre = .main_pre, post = main_post) - - lyt <- lyt |> split_cols_by(names(colspan_trt_map)[1]) |> split_cols_by(trtvar, split_fun = main_splfun) @@ -757,15 +759,16 @@ add_combo_levs_to_trtmap <- function(trtmap, combo_map) { #' analyze("TRT01A", afun = function(x, ...) length(x)) #' #' build_table(lyt, colspan_var) -grouped_cols_w_subgrps <- function(lyt, - colspan_trt_map = NULL, - combo_map_df = NULL, - trtvar = names(colspan_trt_map)[2], - subgrpvar = NULL, - subgrplbl = subgrpvar, - .pre = list(), - .post = list()) { - +grouped_cols_w_subgrps <- function( + lyt, + colspan_trt_map = NULL, + combo_map_df = NULL, + trtvar = names(colspan_trt_map)[2], + subgrpvar = NULL, + subgrplbl = subgrpvar, + .pre = list(), + .post = list() +) { if (is.null(trtvar)) { stop("trtvar must be specified if no colspan map is provided.") } @@ -816,7 +819,8 @@ grouped_cols_w_subgrps <- function(lyt, main_splfun <- make_split_fun(pre = .pre, post = main_post) - if (!is.null(spanvar)) { ## iff we have a colspan trt map + if (!is.null(spanvar)) { + ## iff we have a colspan trt map lyt <- lyt |> split_cols_by( spanvar, @@ -829,7 +833,8 @@ grouped_cols_w_subgrps <- function(lyt, lyt <- lyt |> split_cols_by(trtvar, split_fun = main_splfun) |> - split_cols_by(trtvar, + split_cols_by( + trtvar, split_fun = make_split_fun( post = list( add_overall_facet(subgrplbl, subgrplbl), @@ -861,7 +866,7 @@ grouped_cols_w_subgrps <- function(lyt, #' (with Grade 1 through Grade 5 representing the levels of `var`): #' #' ``` -#' Baseline +#' Baseline #' N Grade 1 Grade 2 Grade 3 Grade 4 Grade 5 Total #' —————————————————————————————————————————————————————————————— #' ``` @@ -880,10 +885,7 @@ grouped_cols_w_subgrps <- function(lyt, #' @return `lyt` updated with the specified shift table column structure. #' @family std_col_struct #' @export -shift_tbl_col_struct <- function(lyt, - var, - span_lbl = "Baseline", - .outer_spl_var = var) { +shift_tbl_col_struct <- function(lyt, var, span_lbl = "Baseline", .outer_spl_var = var) { outer_splfun <- make_split_fun( post = list( add_overall_facet("N", label = " "), @@ -897,12 +899,13 @@ shift_tbl_col_struct <- function(lyt, add_overall_facet("Total", label = "Total"), function(ret, spl, fulldf, .spl_context) { if (.spl_context$value[[1]] == "N") { - make_split_result("N", labels = c(N = "N"), list(N = fulldf), subset_exprs = list(N = quote(TRUE))) + make_split_result("N", labels = c(N = "N"), list(N = fulldf), subset_exprs = list(N = quote(TRUE))) } else { - ret + ret } - } - )) + } + ) + ) lyt <- lyt |> split_cols_by(.outer_spl_var, split_fun = outer_splfun) |> From 65ad827c1122462cf3f1a38a0692e282e74ccec0 Mon Sep 17 00:00:00 2001 From: munoztd0 Date: Thu, 13 Aug 2026 17:06:48 +0200 Subject: [PATCH 09/26] update wordlist --- inst/WORDLIST | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/inst/WORDLIST b/inst/WORDLIST index 107a1322..3169207e 100644 --- a/inst/WORDLIST +++ b/inst/WORDLIST @@ -6,7 +6,6 @@ ANCOVA AVAL AVISIT Analyse -bijection Brueckner CMH Changelog @@ -23,6 +22,7 @@ EAIRs EQ Eg Haenszel +Hilferty Hotfix IEC JJCS @@ -61,6 +61,7 @@ analyse analysing ancova args +bijection bugfix cfuns chisq @@ -157,7 +158,6 @@ referene removerowtext responder responders -riskdiff rlistings rowdf rowlabel @@ -181,6 +181,7 @@ str struct subcol subfacet +subgrouped summarization summarizations tbldf @@ -197,5 +198,3 @@ unrounded unstratified wordbreaking xlsx -Hilferty - From 2967c077fd42102cd439862bd7fc22104c5d487a Mon Sep 17 00:00:00 2001 From: Gabe Becker Date: Wed, 26 Aug 2026 18:28:27 -0400 Subject: [PATCH 10/26] add some_v_all_col_struct with doc an example --- NAMESPACE | 1 + R/risk_diff_col_struct.R | 232 ++++++++++++++++++++++++++--------- man/grouped_cols_w_diffs.Rd | 6 +- man/shift_tbl_col_struct.Rd | 2 +- man/some_v_all_col_struct.Rd | 94 ++++++++++++++ 5 files changed, 276 insertions(+), 59 deletions(-) create mode 100644 man/some_v_all_col_struct.Rd diff --git a/NAMESPACE b/NAMESPACE index 6e3fd6e1..afb1f4e4 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -142,6 +142,7 @@ export(s_summary_diff) export(safe_prune_table) export(set_titles) export(shift_tbl_col_struct) +export(some_v_all_col_struct) export(string_to_title) export(summarize_coxreg_multivar) export(summarize_lsmeans_wide) diff --git a/R/risk_diff_col_struct.R b/R/risk_diff_col_struct.R index 9da1fa8a..8d86fcaf 100644 --- a/R/risk_diff_col_struct.R +++ b/R/risk_diff_col_struct.R @@ -714,6 +714,68 @@ add_combo_levs_to_trtmap <- function(trtmap, combo_map) { cond_rm_facets(map[[2]], value = unique(map[[1]]), keep_matches = TRUE) } + +spans_trtvar_no_diffs <- function(lyt, + colspan_trt_map, + combo_map_df = NULL, + trtvar = names(colspan_trt_map)[2], + .pre = list(), + .post = list()) { + + spanvar <- names(colspan_trt_map)[1] + + if (!is.null(combo_map_df)) { + if (!("is_control" %in% names(combo_map_df))) { + combo_map_df$is_control <- FALSE + } + main_post <- lapply( + seq_len(NROW(combo_map_df)), + function(i) { + force(i) + add_combo_facet( + name = combo_map_df$valname[i], + label = combo_map_df$label[i], + levels = combo_map_df$levelcombo[[i]], + extra = combo_map_df$exargs[[i]] + ) + } + ) + + combo_nms <- combo_map_df$valname + + ## we're guaranteed to have some combo levels at this point + combo_found <- combo_nms %in% colspan_trt_map[[trtvar]] + if (!any(combo_found)) { + message( + "none of the combination levels appeared in the colspan treatment map;", + " adding them automatically." + ) + colspan_trt_map <- add_combo_levs_to_trtmap(colspan_trt_map, combo_map_df) + } else if (any(!combo_found)) { + warning("some combination levels defined in combo_map_df do not appear in colspan_trt_map") + } + } else { + main_post <- list() + } + + main_post <- c(main_post, .trtmap_to_post_funs(colspan_trt_map), .post) + + main_splfun <- make_split_fun(pre = .pre, post = main_post) + + if (!is.null(spanvar)) { + lyt <- lyt |> + split_cols_by( + spanvar, + split_fun = keep_split_levels( + only = unique(colspan_trt_map[[spanvar]]), + reorder = TRUE + ) + ) + } + lyt <- split_cols_by(lyt, trtvar, split_fun = main_splfun, show_colcounts = TRUE) + lyt +} + #' @rdname grouped_cols_w_diffs #' @param trtvar (`character(1)` or `NULL`)\cr the treatment variable to split by. Defaults to the #' treatment variable in `colspan_trt_map`. @@ -730,7 +792,7 @@ add_combo_levs_to_trtmap <- function(trtmap, combo_map) { #' each level of `subgrpvar`. #' @export #' @examples -#' colspan_var <- create_colspan_var( +#' dat <- create_colspan_var( #' data.frame( #' TRT01A = factor(rep(c("Placebo", "Active 1"), each = 2)), #' SEX = factor(rep(c("Female", "Male"), 2)) @@ -742,7 +804,7 @@ add_combo_levs_to_trtmap <- function(trtmap, combo_map) { #' trt_var = "TRT01A" #' ) #' colspan_trt_map <- create_colspan_map( -#' colspan_var, +#' dat, #' non_active_grp = "Placebo", #' non_active_grp_span_lbl = "Control", #' active_grp_span_lbl = "Active Treatment", @@ -758,7 +820,7 @@ add_combo_levs_to_trtmap <- function(trtmap, combo_map) { #' ) |> #' analyze("TRT01A", afun = function(x, ...) length(x)) #' -#' build_table(lyt, colspan_var) +#' build_table(lyt, dat) grouped_cols_w_subgrps <- function( lyt, colspan_trt_map = NULL, @@ -779,60 +841,18 @@ grouped_cols_w_subgrps <- function( "to create a grouped column structure with no subgrouping." ) } - spanvar <- names(colspan_trt_map)[1] - - if (!is.null(combo_map_df)) { - if (!("is_control" %in% names(combo_map_df))) { - combo_map_df$is_control <- FALSE - } - main_post <- lapply( - seq_len(NROW(combo_map_df)), - function(i) { - force(i) - add_combo_facet( - name = combo_map_df$valname[i], - label = combo_map_df$label[i], - levels = combo_map_df$levelcombo[[i]], - extra = combo_map_df$exargs[[i]] - ) - } - ) - - combo_nms <- combo_map_df$valname - - ## we're guaranteed to have some combo levels at this point - combo_found <- combo_nms %in% colspan_trt_map[[trtvar]] - if (!any(combo_found)) { - message( - "none of the combination levels appeared in the colspan treatment map;", - " adding them automatically." - ) - colspan_trt_map <- add_combo_levs_to_trtmap(colspan_trt_map, combo_map_df) - } else if (any(!combo_found)) { - warning("some combination levels defined in combo_map_df do not appear in colspan_trt_map") - } - } else { - main_post <- list() - } - - main_post <- c(main_post, .trtmap_to_post_funs(colspan_trt_map), .post) - - main_splfun <- make_split_fun(pre = .pre, post = main_post) - - if (!is.null(spanvar)) { - ## iff we have a colspan trt map - lyt <- lyt |> - split_cols_by( - spanvar, - split_fun = keep_split_levels( - only = unique(colspan_trt_map[[spanvar]]), - reorder = TRUE - ) - ) - } + + ## handles spanning variable if necessary and the treatment var split + lyt <- spans_trtvar_no_diffs( + lyt, + colspan_trt_map = colspan_trt_map, + combo_map_df = combo_map_df, + trtvar = trtvar, + .pre = .pre, + .post = .post + ) lyt <- lyt |> - split_cols_by(trtvar, split_fun = main_splfun) |> split_cols_by( trtvar, split_fun = make_split_fun( @@ -912,3 +932,105 @@ shift_tbl_col_struct <- function(lyt, var, span_lbl = "Baseline", .outer_spl_var split_cols_by(var, split_fun = inner_splfun) lyt } + +#' Standard All vs Some (e.g. Related AEs) column structure +#' +#' @inheritParams grouped_cols_w_subgrps +#' @param subgrp (`character(1)`)\cr subgroup variable name +#' @param subgrp_lbl (`character(1)`)\cr The label to put above the combination level representing `subgrp_lvls` +#' @param all_lbl (`character(1)`)\cr The label to put above the "All" column +#' @param subgrp_lvls (`characgter`)\cr All level(s) to be included in the `subgrp_lbl` column. +#' +#' @details +#' This column structure generating function is for comparing a single portion of the data (as represented by +#' level(s) of `subgrpvar`) against the full data, comparison of AE counts to treatment-related AE counts +#' being a motivating example. +#' +#' +#' @examples +#' +#' library(junco) +#' dat <- create_colspan_var( +#' data.frame( +#' TRT01A = factor(rep(c("Placebo", "Active 1", "Active 2"), each = 5)), +#' GRADE = factor(rep(paste("Grade ", 1:5), 3)) +#' ), +#' non_active_grp = "Placebo", +#' non_active_grp_span_lbl = "Control", +#' active_grp_span_lbl = "Active Treatment", +#' colspan_var = "colspan_trt", +#' trt_var = "TRT01A" +#' ) +#' colspan_trt_map <- create_colspan_map( +#' dat, +#' non_active_grp = "Placebo", +#' non_active_grp_span_lbl = "Control", +#' active_grp_span_lbl = "Active Treatment", +#' colspan_var = "colspan_trt", +#' trt_var = "TRT01A" +#' ) +#' +#' lyt <- basic_table() |> +#' some_v_all_col_struct( +#' colspan_trt_map, +#' subgrpvar = "GRADE", +#' subgrp_lvls = c("Grade 4", "Grade 5"), +#' subgrp_lbl = "High Grade", +#' all_lbl = "All Grades") +#' +#' build_table(lyt, dat) +#' +#' @export +some_v_all_col_struct <- function( + lyt, + colspan_trt_map = NULL, + combo_map_df = NULL, + trtvar = names(colspan_trt_map)[2], + subgrpvar = NULL, + subgrp_lbl = subgrpvar, + all_lbl, + subgrp_lvls, + .pre = list(), + .post = list() +) { + if (is.null(trtvar)) { + stop("trtvar must be specified if no colspan map is provided.") + } + + if (is.null(subgrpvar)) { + stop( + "no subgroup variable specified, use grouped_cols_w_diffs with diff_cols=FALSE ", + "to create a grouped column structure with no subgrouping." + ) + } + + lyt <- spans_trtvar_no_diffs( + lyt, + colspan_trt_map = colspan_trt_map, + combo_map_df = combo_map_df, + trtvar = trtvar, + .pre = .pre, + .post = .post + ) + + lyt <- lyt |> + split_cols_by( + subgrpvar, + split_fun = make_split_fun( + post = list( + add_overall_facet(all_lbl, label = all_lbl), + add_combo_facet( + name = paste0(subgrpvar, "_subset"), + label = subgrp_lbl, + levels = subgrp_lvls + ), + restrict_facets( + c(all_lbl, paste0(subgrpvar, "_subset")), + op = "keep" + ) + ) + ) + ) + + lyt +} \ No newline at end of file diff --git a/man/grouped_cols_w_diffs.Rd b/man/grouped_cols_w_diffs.Rd index 15e67711..1b30d12e 100644 --- a/man/grouped_cols_w_diffs.Rd +++ b/man/grouped_cols_w_diffs.Rd @@ -168,7 +168,7 @@ lyt <- basic_table() |> analyze("TRT01A", afun = function(x, ...) length(x)) build_table(lyt, colspan_var) -colspan_var <- create_colspan_var( +dat <- create_colspan_var( data.frame( TRT01A = factor(rep(c("Placebo", "Active 1"), each = 2)), SEX = factor(rep(c("Female", "Male"), 2)) @@ -180,7 +180,7 @@ colspan_var <- create_colspan_var( trt_var = "TRT01A" ) colspan_trt_map <- create_colspan_map( - colspan_var, + dat, non_active_grp = "Placebo", non_active_grp_span_lbl = "Control", active_grp_span_lbl = "Active Treatment", @@ -196,7 +196,7 @@ lyt <- basic_table() |> ) |> analyze("TRT01A", afun = function(x, ...) length(x)) -build_table(lyt, colspan_var) +build_table(lyt, dat) } \seealso{ Other std_col_struct: diff --git a/man/shift_tbl_col_struct.Rd b/man/shift_tbl_col_struct.Rd index dddbbd8d..12808265 100644 --- a/man/shift_tbl_col_struct.Rd +++ b/man/shift_tbl_col_struct.Rd @@ -31,7 +31,7 @@ Create Column Structure for a J&J-Style Shift Table This function creates a column structure akin to the following (with Grade 1 through Grade 5 representing the levels of \code{var}): -\if{html}{\out{
}}\preformatted{ Baseline +\if{html}{\out{
}}\preformatted{ Baseline N Grade 1 Grade 2 Grade 3 Grade 4 Grade 5 Total —————————————————————————————————————————————————————————————— }\if{html}{\out{
}} diff --git a/man/some_v_all_col_struct.Rd b/man/some_v_all_col_struct.Rd new file mode 100644 index 00000000..5c9485eb --- /dev/null +++ b/man/some_v_all_col_struct.Rd @@ -0,0 +1,94 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/risk_diff_col_struct.R +\name{some_v_all_col_struct} +\alias{some_v_all_col_struct} +\title{Standard All vs Some (e.g. Related AEs) column structure} +\usage{ +some_v_all_col_struct( + lyt, + colspan_trt_map = NULL, + combo_map_df = NULL, + trtvar = names(colspan_trt_map)[2], + subgrpvar = NULL, + subgrp_lbl = subgrpvar, + all_lbl, + subgrp_lvls, + .pre = list(), + .post = list() +) +} +\arguments{ +\item{lyt}{(\code{PreDataTableLayouts}). The layout to modify. This +should virtually always be the object returned by +\code{basic_table}.} + +\item{colspan_trt_map}{(\code{data.frame}). The spanning label map for +the main columns, as given by \code{create_colspan_map}.} + +\item{combo_map_df}{(\code{data.frame} or \code{NULL}). A combination data +frame as defined by \code{\link[rtables:add_combo_levels]{add_combo_levels()}} with an additional +\code{is_control} column indicating whether the virtual level will +act as a reference (\code{TRUE}) or active (\code{FALSE}) group.} + +\item{trtvar}{(\code{character(1)} or \code{NULL})\cr the treatment variable to split by. Defaults to the +treatment variable in \code{colspan_trt_map}.} + +\item{subgrpvar}{(\code{character(1)} or \code{NULL})\cr the name of the subgroup variable to split +by within the \code{trtvar} split} + +\item{subgrp_lbl}{(\code{character(1)})\cr The label to put above the combination level representing \code{subgrp_lvls}} + +\item{all_lbl}{(\code{character(1)})\cr The label to put above the "All" column} + +\item{subgrp_lvls}{(\code{characgter})\cr All level(s) to be included in the \code{subgrp_lbl} column.} + +\item{.pre}{(\code{list} of \code{function}s)\cr Passed to \code{\link[rtables:make_split_fun]{rtables::make_split_fun()}} as \code{pre} for +treatment splitting.} + +\item{.post}{(\code{list} of \code{function}s)\cr Passed to \code{\link[rtables:make_split_fun]{rtables::make_split_fun()}} as \code{post} for +treatment splitting after the standard column-structure processing.} + +\item{subgrp}{(\code{character(1)})\cr subgroup variable name} +} +\description{ +Standard All vs Some (e.g. Related AEs) column structure +} +\details{ +This column structure generating function is for comparing a single portion of the data (as represented by +level(s) of \code{subgrpvar}) against the full data, comparison of AE counts to treatment-related AE counts +being a motivating example. +} +\examples{ + + library(junco) +dat <- create_colspan_var( + data.frame( + TRT01A = factor(rep(c("Placebo", "Active 1", "Active 2"), each = 5)), + GRADE = factor(rep(paste("Grade ", 1:5), 3)) + ), + non_active_grp = "Placebo", + non_active_grp_span_lbl = "Control", + active_grp_span_lbl = "Active Treatment", + colspan_var = "colspan_trt", + trt_var = "TRT01A" +) +colspan_trt_map <- create_colspan_map( + dat, + non_active_grp = "Placebo", + non_active_grp_span_lbl = "Control", + active_grp_span_lbl = "Active Treatment", + colspan_var = "colspan_trt", + trt_var = "TRT01A" +) + +lyt <- basic_table() |> + some_v_all_col_struct( + colspan_trt_map, + subgrpvar = "GRADE", + subgrp_lvls = c("Grade 4", "Grade 5"), + subgrp_lbl = "High Grade", + all_lbl = "All Grades") + +build_table(lyt, dat) + +} From 0477077608106d6f89eb433f83ec4db8d2a844e8 Mon Sep 17 00:00:00 2001 From: munoztd0 Date: Fri, 28 Aug 2026 15:22:03 +0200 Subject: [PATCH 11/26] remove subgrp --- R/risk_diff_col_struct.R | 1 - man/some_v_all_col_struct.Rd | 2 -- 2 files changed, 3 deletions(-) diff --git a/R/risk_diff_col_struct.R b/R/risk_diff_col_struct.R index 8d86fcaf..e1d81383 100644 --- a/R/risk_diff_col_struct.R +++ b/R/risk_diff_col_struct.R @@ -936,7 +936,6 @@ shift_tbl_col_struct <- function(lyt, var, span_lbl = "Baseline", .outer_spl_var #' Standard All vs Some (e.g. Related AEs) column structure #' #' @inheritParams grouped_cols_w_subgrps -#' @param subgrp (`character(1)`)\cr subgroup variable name #' @param subgrp_lbl (`character(1)`)\cr The label to put above the combination level representing `subgrp_lvls` #' @param all_lbl (`character(1)`)\cr The label to put above the "All" column #' @param subgrp_lvls (`characgter`)\cr All level(s) to be included in the `subgrp_lbl` column. diff --git a/man/some_v_all_col_struct.Rd b/man/some_v_all_col_struct.Rd index 5c9485eb..7aa2206d 100644 --- a/man/some_v_all_col_struct.Rd +++ b/man/some_v_all_col_struct.Rd @@ -47,8 +47,6 @@ treatment splitting.} \item{.post}{(\code{list} of \code{function}s)\cr Passed to \code{\link[rtables:make_split_fun]{rtables::make_split_fun()}} as \code{post} for treatment splitting after the standard column-structure processing.} - -\item{subgrp}{(\code{character(1)})\cr subgroup variable name} } \description{ Standard All vs Some (e.g. Related AEs) column structure From ad0c7259bfd40861f5347a7adfdf483ad14e9838 Mon Sep 17 00:00:00 2001 From: munoztd0 Date: Fri, 28 Aug 2026 15:25:07 +0200 Subject: [PATCH 12/26] fix: risk_diff_col_struct.R : .trtmap_to_post_funs(colspan_trt_map), which errored whenever colspan_trt_map = NULL --- R/risk_diff_col_struct.R | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/R/risk_diff_col_struct.R b/R/risk_diff_col_struct.R index e1d81383..bd78be8c 100644 --- a/R/risk_diff_col_struct.R +++ b/R/risk_diff_col_struct.R @@ -758,7 +758,11 @@ spans_trtvar_no_diffs <- function(lyt, main_post <- list() } - main_post <- c(main_post, .trtmap_to_post_funs(colspan_trt_map), .post) + main_post <- c( + main_post, + if (!is.null(colspan_trt_map)) .trtmap_to_post_funs(colspan_trt_map), + .post + ) main_splfun <- make_split_fun(pre = .pre, post = main_post) From 91f887cba2d373caf843c6523fd53de72fd49ba7 Mon Sep 17 00:00:00 2001 From: munoztd0 Date: Fri, 28 Aug 2026 15:25:57 +0200 Subject: [PATCH 13/26] tests: added tests for some_v_all_col_struct --- tests/testthat/test-colstruct.R | 91 +++++++++++++++++++++++++++++++++ 1 file changed, 91 insertions(+) diff --git a/tests/testthat/test-colstruct.R b/tests/testthat/test-colstruct.R index d005cb4e..e240b546 100644 --- a/tests/testthat/test-colstruct.R +++ b/tests/testthat/test-colstruct.R @@ -483,3 +483,94 @@ test_that("shift_tbl_col_struct works", { ) ) }) + +test_that("some_v_all_col_struct works with a spanning header", { + subgrpvar <- "GRADE" + dat <- data.frame( + TRT01A = factor(rep(c("Placebo", "Active 1", "Active 2"), each = 5)), + GRADE = factor(rep(paste0("Grade ", 1:5), 3)) + ) + dat <- create_colspan_var( + dat, + non_active_grp = "Placebo", + non_active_grp_span_lbl = "Control", + active_grp_span_lbl = "Active Treatment", + colspan_var = "colspan_trt", + trt_var = "TRT01A" + ) + colspan_trt_map <- create_colspan_map( + dat, + non_active_grp = "Placebo", + non_active_grp_span_lbl = "Control", + active_grp_span_lbl = "Active Treatment", + colspan_var = "colspan_trt", + trt_var = "TRT01A" + ) + + lyt <- basic_table() |> + some_v_all_col_struct( + colspan_trt_map, + subgrpvar = subgrpvar, + subgrp_lvls = c("Grade 4", "Grade 5"), + subgrp_lbl = "High Grade", + all_lbl = "All Grades" + ) |> + analyze(subgrpvar, afun = function(x, ...) length(x)) + + tbl <- build_table(lyt, dat) + + spanvar <- names(colspan_trt_map)[1] + trtvar <- names(colspan_trt_map)[2] + expected <- unlist( + lapply( + seq_len(NROW(colspan_trt_map)), + function(i) { + rw <- colspan_trt_map[i, ] + list( + c(spanvar, rw[[spanvar]], trtvar, rw[[trtvar]], subgrpvar, "All Grades"), + c(spanvar, rw[[spanvar]], trtvar, rw[[trtvar]], subgrpvar, "GRADE_subset") + ) + } + ), + recursive = FALSE + ) + + expect_equal(unclass(col_paths(tbl)), expected) +}) + +test_that("some_v_all_col_struct works without a spanning header", { + trtvar <- "ARM" + subgrpvar <- "GRADE" + dat <- data.frame( + ARM = factor(rep(c("Arm A", "Arm B"), each = 5)), + GRADE = factor(rep(paste0("Grade ", 1:5), 2)) + ) + + lyt <- basic_table() |> + some_v_all_col_struct( + colspan_trt_map = NULL, + trtvar = trtvar, + subgrpvar = subgrpvar, + subgrp_lvls = c("Grade 4", "Grade 5"), + subgrp_lbl = "High Grade", + all_lbl = "All Grades" + ) |> + analyze(subgrpvar, afun = function(x, ...) length(x)) + + tbl <- build_table(lyt, dat) + + expected <- unlist( + lapply( + levels(dat[[trtvar]]), + function(lvl) { + list( + c(trtvar, lvl, subgrpvar, "All Grades"), + c(trtvar, lvl, subgrpvar, "GRADE_subset") + ) + } + ), + recursive = FALSE + ) + + expect_equal(unclass(col_paths(tbl)), expected) +}) From fb721c7046e5e651e65b59ac8b1c00dd5c8f495e Mon Sep 17 00:00:00 2001 From: munoztd0 Date: Fri, 28 Aug 2026 15:32:35 +0200 Subject: [PATCH 14/26] news.md --- NEWS.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/NEWS.md b/NEWS.md index a02281c2..735fc856 100644 --- a/NEWS.md +++ b/NEWS.md @@ -46,7 +46,7 @@ - Updated `insightsengineering` urls to `pharmaverse` ### Added -- Added `grouped_cols_w_diffs()` for grouped treatment and risk-difference columns, `grouped_cols_w_subgrps()` for subgrouped treatment columns, and `shift_tbl_col_struct()` for shift-table column structures. +- Added new standard column structure functions: `make_multicomp_splfun()`, `grouped_cols_w_diffs()`, `grouped_cols_w_subgrps()`, and `shift_tbl_col_struct()`. - Added `strict_match()` for uniquely matching a value in the odd or even positions of a character vector. - Added `categorize_pval()` for assigning p-values to validated, user-defined categories. - Added `pool_rubin_scalar()` and `pool_z_stat()` for pooling scalar estimates and z statistics across imputations. From 54851041c310a190195949ae34fdd6f3b26ae5ec Mon Sep 17 00:00:00 2001 From: munoztd0 Date: Fri, 28 Aug 2026 15:33:25 +0200 Subject: [PATCH 15/26] test: added test for grouped_cols_w_subgrps without spanning header --- tests/testthat/test-colstruct.R | 42 ++++++++++++++++++++++++++++++++- 1 file changed, 41 insertions(+), 1 deletion(-) diff --git a/tests/testthat/test-colstruct.R b/tests/testthat/test-colstruct.R index e240b546..90e10caa 100644 --- a/tests/testthat/test-colstruct.R +++ b/tests/testthat/test-colstruct.R @@ -417,7 +417,7 @@ test_that("grouped_cols_w_diffs works", { ) }) -test_that("grouped_cols_w_subgrps works", { +test_that("grouped_cols_w_subgrps works with a spanning header", { subgrpvar <- "SEX" subgrplbl <- "SUB_*" @@ -459,6 +459,46 @@ test_that("grouped_cols_w_subgrps works", { ) }) +test_that("grouped_cols_w_subgrps works without a spanning header", { + + subgrpvar <- "SEX" + subgrplbl <- "SUB_*" + subgrp_data <- data.frame( + ARM = factor(rep(c("Arm A", "Arm B"), each = 4)), + SEX = factor(rep(c("Female", "Male"), 4)) + ) + + lyt1 <- basic_table() |> + grouped_cols_w_subgrps( + colspan_trt_map = NULL, + trtvar = "ARM", + subgrpvar = subgrpvar, + subgrplbl = subgrplbl + ) |> + analyze(subgrpvar, afun = function(x, ...) length(x)) + + tbl1 <- build_table(lyt1, subgrp_data) + + subgrp_lvls <- c("Total", levels(subgrp_data[[subgrpvar]])) + expect_equal( + unclass(col_paths(tbl1)), + unlist( + lapply( + levels(subgrp_data$ARM), + function(lvl) { + lapply( + subgrp_lvls, + function(subgrplvl) { + c("ARM", lvl, "ARM", subgrplbl, subgrpvar, subgrplvl) + } + ) + } + ), + recursive = FALSE + ) + ) +}) + test_that("shift_tbl_col_struct works", { var <- "BASE" span_lbl <- "Baseline Grade" From 8968a8f67a7d754c94cf35de3a67e806667e46a7 Mon Sep 17 00:00:00 2001 From: munoztd0 Date: Fri, 28 Aug 2026 15:58:49 +0200 Subject: [PATCH 16/26] fix lints --- R/risk_diff_col_struct.R | 36 +++++++++++++++++++----------------- _pkgdown.yml | 1 + 2 files changed, 20 insertions(+), 17 deletions(-) diff --git a/R/risk_diff_col_struct.R b/R/risk_diff_col_struct.R index bd78be8c..7bb53fe7 100644 --- a/R/risk_diff_col_struct.R +++ b/R/risk_diff_col_struct.R @@ -715,12 +715,14 @@ add_combo_levs_to_trtmap <- function(trtmap, combo_map) { } -spans_trtvar_no_diffs <- function(lyt, +spans_trtvar_no_diffs <- function( + lyt, colspan_trt_map, combo_map_df = NULL, trtvar = names(colspan_trt_map)[2], .pre = list(), - .post = list()) { + .post = list() +) { spanvar <- names(colspan_trt_map)[1] @@ -769,8 +771,8 @@ spans_trtvar_no_diffs <- function(lyt, if (!is.null(spanvar)) { lyt <- lyt |> split_cols_by( - spanvar, - split_fun = keep_split_levels( + spanvar, + split_fun = keep_split_levels( only = unique(colspan_trt_map[[spanvar]]), reorder = TRUE ) @@ -845,7 +847,7 @@ grouped_cols_w_subgrps <- function( "to create a grouped column structure with no subgrouping." ) } - + ## handles spanning variable if necessary and the treatment var split lyt <- spans_trtvar_no_diffs( lyt, @@ -938,21 +940,21 @@ shift_tbl_col_struct <- function(lyt, var, span_lbl = "Baseline", .outer_spl_var } #' Standard All vs Some (e.g. Related AEs) column structure -#' +#' #' @inheritParams grouped_cols_w_subgrps #' @param subgrp_lbl (`character(1)`)\cr The label to put above the combination level representing `subgrp_lvls` #' @param all_lbl (`character(1)`)\cr The label to put above the "All" column #' @param subgrp_lvls (`characgter`)\cr All level(s) to be included in the `subgrp_lbl` column. -#' +#' #' @details -#' This column structure generating function is for comparing a single portion of the data (as represented by +#' This column structure generating function is for comparing a single portion of the data (as represented by #' level(s) of `subgrpvar`) against the full data, comparison of AE counts to treatment-related AE counts #' being a motivating example. #' -#' +#' #' @examples -#' -#' library(junco) +#' +#' library(junco) #' dat <- create_colspan_var( #' data.frame( #' TRT01A = factor(rep(c("Placebo", "Active 1", "Active 2"), each = 5)), @@ -982,7 +984,7 @@ shift_tbl_col_struct <- function(lyt, var, span_lbl = "Baseline", .outer_spl_var #' all_lbl = "All Grades") #' #' build_table(lyt, dat) -#' +#' #' @export some_v_all_col_struct <- function( lyt, @@ -991,12 +993,12 @@ some_v_all_col_struct <- function( trtvar = names(colspan_trt_map)[2], subgrpvar = NULL, subgrp_lbl = subgrpvar, - all_lbl, - subgrp_lvls, + all_lbl, + subgrp_lvls, .pre = list(), .post = list() ) { - if (is.null(trtvar)) { + if (is.null(trtvar)) { stop("trtvar must be specified if no colspan map is provided.") } @@ -1031,9 +1033,9 @@ some_v_all_col_struct <- function( c(all_lbl, paste0(subgrpvar, "_subset")), op = "keep" ) + ) ) ) - ) lyt -} \ No newline at end of file +} diff --git a/_pkgdown.yml b/_pkgdown.yml index e4d04919..b5edcf45 100644 --- a/_pkgdown.yml +++ b/_pkgdown.yml @@ -124,6 +124,7 @@ reference: - make_multicomp_splfun - postfun_eq5d - real_add_overall_facet + - some_v_all_col_struct - title: junco Functions For titles/footnotes desc: The following utility functions help to add titles/footnotes. From 980b48dea67b533cf4c0fa20e3163c00092650c4 Mon Sep 17 00:00:00 2001 From: munoztd0 Date: Wed, 16 Sep 2026 15:47:24 +0200 Subject: [PATCH 17/26] adding quartile column structure --- NAMESPACE | 1 + NEWS.md | 2 +- R/risk_diff_col_struct.R | 142 ++++++++++++++++++++++++++++++++ _pkgdown.yml | 1 + man/grouped_cols_w_diffs.Rd | 1 + man/make_multicomp_splfun.Rd | 1 + man/quartile_col_struct.Rd | 106 ++++++++++++++++++++++++ man/shift_tbl_col_struct.Rd | 3 +- man/some_v_all_col_struct.Rd | 2 +- tests/testthat/test-colstruct.R | 116 ++++++++++++++++++++++++++ 10 files changed, 372 insertions(+), 3 deletions(-) create mode 100644 man/quartile_col_struct.Rd diff --git a/NAMESPACE b/NAMESPACE index f4142931..eb26a1f0 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -115,6 +115,7 @@ export(prepend_label_cell) export(prop_ratio_cmh) export(prop_split_fun) export(prop_table_afun) +export(quartile_col_struct) export(rbmi_analyse) export(rbmi_ancova) export(rbmi_ancova_single) diff --git a/NEWS.md b/NEWS.md index 5e0dfaf3..b1ab9d32 100644 --- a/NEWS.md +++ b/NEWS.md @@ -59,7 +59,6 @@ and introduce functions `jjcsformat_count_denom_fraction_legacy` and `jjcsformat - Updated `insightsengineering` urls to `pharmaverse` ### Added -- Added new standard column structure functions: `make_multicomp_splfun()`, `grouped_cols_w_diffs()`, `grouped_cols_w_subgrps()`, and `shift_tbl_col_struct()`. - Added `strict_match()` for uniquely matching a value in the odd or even positions of a character vector. - Added `categorize_pval()` for assigning p-values to validated, user-defined categories. - Added `pool_rubin_scalar()` and `pool_z_stat()` for pooling scalar estimates and z statistics across imputations. @@ -72,6 +71,7 @@ and introduce functions `jjcsformat_count_denom_fraction_legacy` and `jjcsformat - Added `a_three_tier()` as extension to `a_two_tier()`. - Added `a_cond_proportion_j()` which implements conditional method selection between Wald and Clopper-Pearson confidence intervals based on the number of responses and the denominator. - Added formatting function `format_sigfig_j()` as alternative to `tern::format_sigfig()`. (#436) +- Added new standard column structure functions: `make_multicomp_splfun()`, `grouped_cols_w_diffs()`, `grouped_cols_w_subgrps()`, `shift_tbl_col_struct()`, `some_v_all_col_struct()`, and `quartile_col_struct()`. ## [0.1.6] - 2026-05-05 (CRAN release) diff --git a/R/risk_diff_col_struct.R b/R/risk_diff_col_struct.R index 7bb53fe7..85cb8806 100644 --- a/R/risk_diff_col_struct.R +++ b/R/risk_diff_col_struct.R @@ -1039,3 +1039,145 @@ some_v_all_col_struct <- function( lyt } + +# quartile helpers +.quartile_cutpoints_sas2 <- function(x) { + x <- x[!is.na(x)] + if (length(x) == 0) { + stop("No non-missing values available to compute quartiles.") + } + qs <- stats::quantile(x, probs = c(0.25, 0.5, 0.75), type = 2, names = FALSE) + c(min(x), qs, max(x)) +} + +.quartile_bin_labels <- function(cuts, digits, round_type) { + fmt <- function(v) round_fmt(v, digits = digits, round_type = round_type) + c( + paste0(fmt(cuts[1]), " to <", fmt(cuts[2])), + paste0(fmt(cuts[2]), " to <", fmt(cuts[3])), + paste0(fmt(cuts[3]), " to <", fmt(cuts[4])), + paste0(fmt(cuts[4]), " to ", fmt(cuts[5])) + ) +} + +.quartile_bin_index <- function(x, cuts) { + findInterval(x, cuts[2:4], rightmost.closed = FALSE) + 1L +} + +.quartile_facets_postfun <- function(var, digits, round_type) { + function(ret, spl, fulldf, .spl_context) { + x <- fulldf[[var]] + cuts <- .quartile_cutpoints_sas2(x) + labs <- .quartile_bin_labels(cuts, digits = digits, round_type = round_type) + grp <- .quartile_bin_index(x, cuts) + + datasplit <- stats::setNames( + lapply(seq_len(4), function(i) fulldf[!is.na(grp) & grp == i, , drop = FALSE]), + labs + ) + vnm <- as.name(var) + subset_exprs <- list( + bquote(!is.na(.(vnm)) & .(vnm) < .(cuts[2])), + bquote(!is.na(.(vnm)) & .(vnm) >= .(cuts[2]) & .(vnm) < .(cuts[3])), + bquote(!is.na(.(vnm)) & .(vnm) >= .(cuts[3]) & .(vnm) < .(cuts[4])), + bquote(!is.na(.(vnm)) & .(vnm) >= .(cuts[4])) + ) + make_split_result( + labs, + datasplit = datasplit, + labels = stats::setNames(labs, labs), + subset_exprs = subset_exprs + ) + } +} + +#' Standard Quartile Column Structure +#' +#' @inheritParams grouped_cols_w_subgrps +#' @param var (`character(1)`)\cr The continuous variable to compute quartile-based columns for. +#' @param span_lbl (`character(1)`)\cr The spanning label to place above the quartile columns. +#' @param digits (`integer(1)`)\cr Number of decimal places used when formatting the quartile. +#' @param round_type (`character(1)`)\cr rounding method, passed onto +#' [formatters::round_fmt()] when formatting the quartile. +#' +#' @details +#' Splits `trtvar` into four quartile columns of `var`, with `span_lbl` +#' as a spanning label above them. Cut points (Q1, median, Q3) are worked +#' out separately within each treatment column, using the same quantile +#' +#' @returns `lyt` updated with the specified quartile column structure added. +#' +#' @family std_col_struct +#' @export +#' @examples +#' set.seed(1) +#' dat <- create_colspan_var( +#' data.frame( +#' TRT01A = factor(rep(c("Placebo", "Active 1"), each = 20)), +#' BW = c(rnorm(20, 70, 10), rnorm(20, 75, 10)) +#' ), +#' non_active_grp = "Placebo", +#' non_active_grp_span_lbl = "Control", +#' active_grp_span_lbl = "Active Treatment", +#' colspan_var = "colspan_trt", +#' trt_var = "TRT01A" +#' ) +#' colspan_trt_map <- create_colspan_map( +#' dat, +#' non_active_grp = "Placebo", +#' non_active_grp_span_lbl = "Control", +#' active_grp_span_lbl = "Active Treatment", +#' colspan_var = "colspan_trt", +#' trt_var = "TRT01A" +#' ) +#' +#' lyt <- basic_table() |> +#' quartile_col_struct( +#' var = "BW", +#' colspan_trt_map = colspan_trt_map, +#' span_lbl = "Body Weight (kg) Quartiles" +#' ) |> +#' analyze("BW", afun = function(x, ...) length(x)) +#' +#' build_table(lyt, dat) +quartile_col_struct <- function( + lyt, + var, + colspan_trt_map = NULL, + combo_map_df = NULL, + trtvar = names(colspan_trt_map)[2], + span_lbl = paste(var, "Quartiles"), + digits = 0, + round_type = valid_round_type, + .pre = list(), + .post = list() +) { + if (is.null(trtvar)) { + stop("trtvar must be specified if no colspan map is provided.") + } + round_type <- match.arg(round_type) + + lyt <- spans_trtvar_no_diffs( + lyt, + colspan_trt_map = colspan_trt_map, + combo_map_df = combo_map_df, + trtvar = trtvar, + .pre = .pre, + .post = .post + ) + + span_splfun <- make_split_fun( + post = list( + real_add_overall_facet("quartiles", label = span_lbl), + restrict_facets("quartiles", op = "keep") + ) + ) + + quartile_splfun <- make_split_fun( + post = list(.quartile_facets_postfun(var, digits = digits, round_type = round_type)) + ) + + lyt |> + split_cols_by(trtvar, split_fun = span_splfun) |> + split_cols_by(trtvar, split_fun = quartile_splfun) +} diff --git a/_pkgdown.yml b/_pkgdown.yml index 67e9ddab..afe9bc61 100644 --- a/_pkgdown.yml +++ b/_pkgdown.yml @@ -127,6 +127,7 @@ reference: - make_combo_splitfun - make_multicomp_splfun - postfun_eq5d + - quartile_col_struct - real_add_overall_facet - some_v_all_col_struct diff --git a/man/grouped_cols_w_diffs.Rd b/man/grouped_cols_w_diffs.Rd index 1b30d12e..478cc95f 100644 --- a/man/grouped_cols_w_diffs.Rd +++ b/man/grouped_cols_w_diffs.Rd @@ -201,6 +201,7 @@ build_table(lyt, dat) \seealso{ Other std_col_struct: \code{\link[=make_multicomp_splfun]{make_multicomp_splfun()}}, +\code{\link[=quartile_col_struct]{quartile_col_struct()}}, \code{\link[=shift_tbl_col_struct]{shift_tbl_col_struct()}} } \concept{std_col_struct} diff --git a/man/make_multicomp_splfun.Rd b/man/make_multicomp_splfun.Rd index a47b8253..0b0f8bfd 100644 --- a/man/make_multicomp_splfun.Rd +++ b/man/make_multicomp_splfun.Rd @@ -146,6 +146,7 @@ at https://github.com/johnsonandjohnson/junco/issues \seealso{ Other std_col_struct: \code{\link[=grouped_cols_w_diffs]{grouped_cols_w_diffs()}}, +\code{\link[=quartile_col_struct]{quartile_col_struct()}}, \code{\link[=shift_tbl_col_struct]{shift_tbl_col_struct()}} } \concept{std_col_struct} diff --git a/man/quartile_col_struct.Rd b/man/quartile_col_struct.Rd new file mode 100644 index 00000000..636c9006 --- /dev/null +++ b/man/quartile_col_struct.Rd @@ -0,0 +1,106 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/risk_diff_col_struct.R +\name{quartile_col_struct} +\alias{quartile_col_struct} +\title{Standard Quartile Column Structure} +\usage{ +quartile_col_struct( + lyt, + var, + colspan_trt_map = NULL, + combo_map_df = NULL, + trtvar = names(colspan_trt_map)[2], + span_lbl = paste(var, "Quartiles"), + digits = 0, + .pre = list(), + .post = list() +) +} +\arguments{ +\item{lyt}{(\code{PreDataTableLayouts}). The layout to modify. This +should virtually always be the object returned by +\code{basic_table}.} + +\item{var}{(\code{character(1)})\cr The continuous variable to compute quartile-based columns for.} + +\item{colspan_trt_map}{(\code{data.frame}). The spanning label map for +the main columns, as given by \code{create_colspan_map}.} + +\item{combo_map_df}{(\code{data.frame} or \code{NULL}). A combination data +frame as defined by \code{\link[rtables:add_combo_levels]{add_combo_levels()}} with an additional +\code{is_control} column indicating whether the virtual level will +act as a reference (\code{TRUE}) or active (\code{FALSE}) group.} + +\item{trtvar}{(\code{character(1)} or \code{NULL})\cr the treatment variable to split by. Defaults to the +treatment variable in \code{colspan_trt_map}.} + +\item{span_lbl}{(\code{character(1)})\cr The spanning label to place above the quartile columns. +Defaults to \code{paste(var, "Quartiles")}.} + +\item{digits}{(\code{integer(1)})\cr Number of decimal places used when formatting the quartile.} + +\item{.pre}{(\code{list} of \code{function}s)\cr Passed to \code{\link[rtables:make_split_fun]{rtables::make_split_fun()}} as \code{pre} for +treatment splitting.} + +\item{.post}{(\code{list} of \code{function}s)\cr Passed to \code{\link[rtables:make_split_fun]{rtables::make_split_fun()}} as \code{post} for +treatment splitting after the standard column-structure processing.} +} +\value{ +\code{lyt} updated with the specified quartile column structure added. +} +\description{ +Standard Quartile Column Structure +} +\details{ +\code{quartile_col_struct} creates a column structure that splits \code{trtvar} +into four quartile-based columns of \code{var}, with a spanning label +(\code{span_lbl}) placed above them. Quartile cut points (Q1, median, Q3) +are computed \emph{within} each treatment column separately, using the same +quantile definition as SAS's default \code{PCTLDEF=5} (equivalent to +\code{type = 2} in \code{\link[stats:quantile]{stats::quantile()}}). + +The resulting four columns are labeled with their boundary values, in +the form \code{" to <"} for the first three quartiles, and +\code{" to "} (inclusive) for the fourth (highest) quartile, +e.g. \code{"36 to <58"}, ..., \code{"72 to 90"}. Subjects with a missing value +for \code{var} are excluded from all quartile columns. +} +\examples{ +set.seed(1) +dat <- create_colspan_var( + data.frame( + TRT01A = factor(rep(c("Placebo", "Active 1"), each = 20)), + BW = c(rnorm(20, 70, 10), rnorm(20, 75, 10)) + ), + non_active_grp = "Placebo", + non_active_grp_span_lbl = "Control", + active_grp_span_lbl = "Active Treatment", + colspan_var = "colspan_trt", + trt_var = "TRT01A" +) +colspan_trt_map <- create_colspan_map( + dat, + non_active_grp = "Placebo", + non_active_grp_span_lbl = "Control", + active_grp_span_lbl = "Active Treatment", + colspan_var = "colspan_trt", + trt_var = "TRT01A" +) + +lyt <- basic_table() |> + quartile_col_struct( + var = "BW", + colspan_trt_map = colspan_trt_map, + span_lbl = "Body Weight (kg) Quartiles" + ) |> + analyze("BW", afun = function(x, ...) length(x)) + +build_table(lyt, dat) +} +\seealso{ +Other std_col_struct: +\code{\link[=grouped_cols_w_diffs]{grouped_cols_w_diffs()}}, +\code{\link[=make_multicomp_splfun]{make_multicomp_splfun()}}, +\code{\link[=shift_tbl_col_struct]{shift_tbl_col_struct()}} +} +\concept{std_col_struct} diff --git a/man/shift_tbl_col_struct.Rd b/man/shift_tbl_col_struct.Rd index 12808265..b3dbd6fc 100644 --- a/man/shift_tbl_col_struct.Rd +++ b/man/shift_tbl_col_struct.Rd @@ -51,6 +51,7 @@ build_table(lyt, shift_data) \seealso{ Other std_col_struct: \code{\link[=grouped_cols_w_diffs]{grouped_cols_w_diffs()}}, -\code{\link[=make_multicomp_splfun]{make_multicomp_splfun()}} +\code{\link[=make_multicomp_splfun]{make_multicomp_splfun()}}, +\code{\link[=quartile_col_struct]{quartile_col_struct()}} } \concept{std_col_struct} diff --git a/man/some_v_all_col_struct.Rd b/man/some_v_all_col_struct.Rd index 7aa2206d..0441b78b 100644 --- a/man/some_v_all_col_struct.Rd +++ b/man/some_v_all_col_struct.Rd @@ -58,7 +58,7 @@ being a motivating example. } \examples{ - library(junco) + library(junco) dat <- create_colspan_var( data.frame( TRT01A = factor(rep(c("Placebo", "Active 1", "Active 2"), each = 5)), diff --git a/tests/testthat/test-colstruct.R b/tests/testthat/test-colstruct.R index 90e10caa..b9a7b967 100644 --- a/tests/testthat/test-colstruct.R +++ b/tests/testthat/test-colstruct.R @@ -614,3 +614,119 @@ test_that("some_v_all_col_struct works without a spanning header", { expect_equal(unclass(col_paths(tbl)), expected) }) + +test_that("quartile_col_struct works with a spanning header", { + trtvar <- "TRT01A" + var <- "WEIGHT" + dat <- data.frame( + TRT01A = factor(rep(c("Placebo", "Active 1"), each = 10)), + WEIGHT = c(seq(10, 100, by = 10), seq(110, 200, by = 10)) + ) + dat <- create_colspan_var( + dat, + non_active_grp = "Placebo", + non_active_grp_span_lbl = "Control", + active_grp_span_lbl = "Active Treatment", + colspan_var = "colspan_trt", + trt_var = trtvar + ) + colspan_trt_map <- create_colspan_map( + dat, + non_active_grp = "Placebo", + non_active_grp_span_lbl = "Control", + active_grp_span_lbl = "Active Treatment", + colspan_var = "colspan_trt", + trt_var = trtvar + ) + + lyt <- basic_table() |> + quartile_col_struct( + var = var, + colspan_trt_map = colspan_trt_map, + span_lbl = "Body Weight (kg) Quartiles" + ) |> + analyze(var, afun = function(x, ...) length(x)) + + tbl <- build_table(lyt, dat) + + spanvar <- names(colspan_trt_map)[1] + bin_labels <- function(mn, q1, med, q3, mx) { + c( + paste0(mn, " to <", q1), + paste0(q1, " to <", med), + paste0(med, " to <", q3), + paste0(q3, " to ", mx) + ) + } + labs_by_trt <- list( + "Placebo" = bin_labels(10, 30, 55, 80, 100), + "Active 1" = bin_labels(110, 130, 155, 180, 200) + ) + + expected <- unlist( + lapply( + seq_len(NROW(colspan_trt_map)), + function(i) { + rw <- colspan_trt_map[i, ] + lapply( + labs_by_trt[[rw[[trtvar]]]], + function(lab) { + c(spanvar, rw[[spanvar]], trtvar, rw[[trtvar]], trtvar, "quartiles", trtvar, lab) + } + ) + } + ), + recursive = FALSE + ) + + expect_equal(unclass(col_paths(tbl)), expected) + expect_equal(unname(unlist(cell_values(tbl))), rep(c(2, 3, 2, 3), 2)) +}) + +test_that("quartile_col_struct works without a spanning header", { + trtvar <- "ARM" + var <- "WEIGHT" + dat <- data.frame( + ARM = factor(rep(c("Arm A", "Arm B"), each = 10)), + WEIGHT = c(seq(10, 100, by = 10), seq(110, 200, by = 10)) + ) + + lyt <- basic_table() |> + quartile_col_struct( + var = var, + trtvar = trtvar, + span_lbl = "Body Weight (kg) Quartiles" + ) |> + analyze(var, afun = function(x, ...) length(x)) + + tbl <- build_table(lyt, dat) + + bin_labels <- function(mn, q1, med, q3, mx) { + c( + paste0(mn, " to <", q1), + paste0(q1, " to <", med), + paste0(med, " to <", q3), + paste0(q3, " to ", mx) + ) + } + labs_by_trt <- list( + "Arm A" = bin_labels(10, 30, 55, 80, 100), + "Arm B" = bin_labels(110, 130, 155, 180, 200) + ) + + expected <- unlist( + lapply( + levels(dat[[trtvar]]), + function(lvl) { + lapply( + labs_by_trt[[lvl]], + function(lab) c(trtvar, lvl, trtvar, "quartiles", trtvar, lab) + ) + } + ), + recursive = FALSE + ) + + expect_equal(unclass(col_paths(tbl)), expected) + expect_equal(unname(unlist(cell_values(tbl))), rep(c(2, 3, 2, 3), 2)) +}) From 7bbd8aa50f91a0428e0f688503b298cd3efc4f9d Mon Sep 17 00:00:00 2001 From: munoztd0 Date: Wed, 16 Sep 2026 15:47:54 +0200 Subject: [PATCH 18/26] document --- man/quartile_col_struct.Rd | 22 ++++++++-------------- 1 file changed, 8 insertions(+), 14 deletions(-) diff --git a/man/quartile_col_struct.Rd b/man/quartile_col_struct.Rd index 636c9006..189bae58 100644 --- a/man/quartile_col_struct.Rd +++ b/man/quartile_col_struct.Rd @@ -12,6 +12,7 @@ quartile_col_struct( trtvar = names(colspan_trt_map)[2], span_lbl = paste(var, "Quartiles"), digits = 0, + round_type = valid_round_type, .pre = list(), .post = list() ) @@ -34,11 +35,13 @@ act as a reference (\code{TRUE}) or active (\code{FALSE}) group.} \item{trtvar}{(\code{character(1)} or \code{NULL})\cr the treatment variable to split by. Defaults to the treatment variable in \code{colspan_trt_map}.} -\item{span_lbl}{(\code{character(1)})\cr The spanning label to place above the quartile columns. -Defaults to \code{paste(var, "Quartiles")}.} +\item{span_lbl}{(\code{character(1)})\cr The spanning label to place above the quartile columns.} \item{digits}{(\code{integer(1)})\cr Number of decimal places used when formatting the quartile.} +\item{round_type}{(\code{character(1)})\cr rounding method, passed onto +\code{\link[formatters:round_fmt]{formatters::round_fmt()}} when formatting the quartile.} + \item{.pre}{(\code{list} of \code{function}s)\cr Passed to \code{\link[rtables:make_split_fun]{rtables::make_split_fun()}} as \code{pre} for treatment splitting.} @@ -52,18 +55,9 @@ treatment splitting after the standard column-structure processing.} Standard Quartile Column Structure } \details{ -\code{quartile_col_struct} creates a column structure that splits \code{trtvar} -into four quartile-based columns of \code{var}, with a spanning label -(\code{span_lbl}) placed above them. Quartile cut points (Q1, median, Q3) -are computed \emph{within} each treatment column separately, using the same -quantile definition as SAS's default \code{PCTLDEF=5} (equivalent to -\code{type = 2} in \code{\link[stats:quantile]{stats::quantile()}}). - -The resulting four columns are labeled with their boundary values, in -the form \code{" to <"} for the first three quartiles, and -\code{" to "} (inclusive) for the fourth (highest) quartile, -e.g. \code{"36 to <58"}, ..., \code{"72 to 90"}. Subjects with a missing value -for \code{var} are excluded from all quartile columns. +Splits \code{trtvar} into four quartile columns of \code{var}, with \code{span_lbl} +as a spanning label above them. Cut points (Q1, median, Q3) are worked +out separately within each treatment column, using the same quantile } \examples{ set.seed(1) From 915f7e801115a398deef0cd263e6a9910e23a914 Mon Sep 17 00:00:00 2001 From: munoztd0 Date: Wed, 30 Sep 2026 15:05:59 +0000 Subject: [PATCH 19/26] quartile column structure with precomputed data --- NAMESPACE | 1 + NEWS.md | 2 +- R/risk_diff_col_struct.R | 107 ++++++++++++++++++++++++++++++++ _pkgdown.yml | 1 + man/grouped_cols_w_diffs.Rd | 1 + man/make_multicomp_splfun.Rd | 1 + man/quartile_col_struct.Rd | 96 ++++++++++++++++++++++++++++ man/shift_tbl_col_struct.Rd | 3 +- man/some_v_all_col_struct.Rd | 2 +- tests/testthat/test-colstruct.R | 98 +++++++++++++++++++++++++++++ 10 files changed, 309 insertions(+), 3 deletions(-) create mode 100644 man/quartile_col_struct.Rd diff --git a/NAMESPACE b/NAMESPACE index f4142931..eb26a1f0 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -115,6 +115,7 @@ export(prepend_label_cell) export(prop_ratio_cmh) export(prop_split_fun) export(prop_table_afun) +export(quartile_col_struct) export(rbmi_analyse) export(rbmi_ancova) export(rbmi_ancova_single) diff --git a/NEWS.md b/NEWS.md index 5e0dfaf3..b1ab9d32 100644 --- a/NEWS.md +++ b/NEWS.md @@ -59,7 +59,6 @@ and introduce functions `jjcsformat_count_denom_fraction_legacy` and `jjcsformat - Updated `insightsengineering` urls to `pharmaverse` ### Added -- Added new standard column structure functions: `make_multicomp_splfun()`, `grouped_cols_w_diffs()`, `grouped_cols_w_subgrps()`, and `shift_tbl_col_struct()`. - Added `strict_match()` for uniquely matching a value in the odd or even positions of a character vector. - Added `categorize_pval()` for assigning p-values to validated, user-defined categories. - Added `pool_rubin_scalar()` and `pool_z_stat()` for pooling scalar estimates and z statistics across imputations. @@ -72,6 +71,7 @@ and introduce functions `jjcsformat_count_denom_fraction_legacy` and `jjcsformat - Added `a_three_tier()` as extension to `a_two_tier()`. - Added `a_cond_proportion_j()` which implements conditional method selection between Wald and Clopper-Pearson confidence intervals based on the number of responses and the denominator. - Added formatting function `format_sigfig_j()` as alternative to `tern::format_sigfig()`. (#436) +- Added new standard column structure functions: `make_multicomp_splfun()`, `grouped_cols_w_diffs()`, `grouped_cols_w_subgrps()`, `shift_tbl_col_struct()`, `some_v_all_col_struct()`, and `quartile_col_struct()`. ## [0.1.6] - 2026-05-05 (CRAN release) diff --git a/R/risk_diff_col_struct.R b/R/risk_diff_col_struct.R index 7bb53fe7..7bdf4694 100644 --- a/R/risk_diff_col_struct.R +++ b/R/risk_diff_col_struct.R @@ -1039,3 +1039,110 @@ some_v_all_col_struct <- function( lyt } + +.quartile_facets_postfun <- function(grp_var) { + function(ret, spl, fulldf, .spl_context) { + grp <- fulldf[[grp_var]] + labs <- unique(grp[!is.na(grp)]) + labs <- sort(labs) + + datasplit <- stats::setNames( + lapply(labs, function(lbl) fulldf[grp == lbl, , drop = FALSE]), + labs + ) + + make_split_result( + labs, + datasplit = datasplit, + labels = stats::setNames(labs, labs) + ) + } +} + +#' Standard Quartile Column Structure +#' +#' @inheritParams grouped_cols_w_subgrps +#' @param grp_var (`character(1)`)\cr Variable containing pre-defined quartile group labels (e.g., WGTGR1). +#' @param span_lbl (`character(1)`)\cr The spanning label to place above the quartile columns. +#' +#' @details +#' Splits columns by `grp_var` which contains pre-defined quartile group labels from the dataset. +#' The `grp_var` should already contain formatted quartile range labels. These are not calculated +#' by the function. +#' +#' @returns `lyt` updated with the specified quartile column structure added. +#' +#' @family std_col_struct +#' @export +#' @examples +#' dat <- data.frame( +#' TRT01A = factor(rep(c("Placebo", "Active 1"), each = 10)), +#' WGTGR1 = factor( +#' rep(c("47 to <62", "62 to <69", "69 to <74", "74 to 95", "47 to <62"), 4), +#' levels = c("47 to <62", "62 to <69", "69 to <74", "74 to 95") +#' ) +#' ) +#' dat <- create_colspan_var( +#' dat, +#' non_active_grp = "Placebo", +#' non_active_grp_span_lbl = "Control", +#' active_grp_span_lbl = "Active Treatment", +#' colspan_var = "colspan_trt", +#' trt_var = "TRT01A" +#' ) +#' colspan_trt_map <- create_colspan_map( +#' dat, +#' non_active_grp = "Placebo", +#' non_active_grp_span_lbl = "Control", +#' active_grp_span_lbl = "Active Treatment", +#' colspan_var = "colspan_trt", +#' trt_var = "TRT01A" +#' ) +#' +#' lyt <- basic_table() |> +#' quartile_col_struct( +#' grp_var = "WGTGR1", +#' colspan_trt_map = colspan_trt_map, +#' span_lbl = "Body Weight (kg) Quartiles" +#' ) |> +#' analyze("WGTGR1", afun = function(x, ...) length(x)) +#' +#' build_table(lyt, dat) +quartile_col_struct <- function( + lyt, + grp_var, + colspan_trt_map = NULL, + combo_map_df = NULL, + trtvar = names(colspan_trt_map)[2], + span_lbl = "Quartiles", + .pre = list(), + .post = list() +) { + if (is.null(trtvar)) { + stop("trtvar must be specified if no colspan map is provided.") + } + + lyt <- spans_trtvar_no_diffs( + lyt, + colspan_trt_map = colspan_trt_map, + combo_map_df = combo_map_df, + trtvar = trtvar, + .pre = .pre, + .post = .post + ) + + span_splfun <- make_split_fun( + post = list( + real_add_overall_facet("quartiles", label = span_lbl), + restrict_facets("quartiles", op = "keep") + ) + ) + + quartile_splfun <- make_split_fun( + post = list(.quartile_facets_postfun(grp_var)) + ) + + lyt |> + split_cols_by(trtvar, split_fun = span_splfun) |> + split_cols_by(grp_var, split_fun = quartile_splfun) +} diff --git a/_pkgdown.yml b/_pkgdown.yml index 67e9ddab..afe9bc61 100644 --- a/_pkgdown.yml +++ b/_pkgdown.yml @@ -127,6 +127,7 @@ reference: - make_combo_splitfun - make_multicomp_splfun - postfun_eq5d + - quartile_col_struct - real_add_overall_facet - some_v_all_col_struct diff --git a/man/grouped_cols_w_diffs.Rd b/man/grouped_cols_w_diffs.Rd index 1b30d12e..478cc95f 100644 --- a/man/grouped_cols_w_diffs.Rd +++ b/man/grouped_cols_w_diffs.Rd @@ -201,6 +201,7 @@ build_table(lyt, dat) \seealso{ Other std_col_struct: \code{\link[=make_multicomp_splfun]{make_multicomp_splfun()}}, +\code{\link[=quartile_col_struct]{quartile_col_struct()}}, \code{\link[=shift_tbl_col_struct]{shift_tbl_col_struct()}} } \concept{std_col_struct} diff --git a/man/make_multicomp_splfun.Rd b/man/make_multicomp_splfun.Rd index a47b8253..0b0f8bfd 100644 --- a/man/make_multicomp_splfun.Rd +++ b/man/make_multicomp_splfun.Rd @@ -146,6 +146,7 @@ at https://github.com/johnsonandjohnson/junco/issues \seealso{ Other std_col_struct: \code{\link[=grouped_cols_w_diffs]{grouped_cols_w_diffs()}}, +\code{\link[=quartile_col_struct]{quartile_col_struct()}}, \code{\link[=shift_tbl_col_struct]{shift_tbl_col_struct()}} } \concept{std_col_struct} diff --git a/man/quartile_col_struct.Rd b/man/quartile_col_struct.Rd new file mode 100644 index 00000000..932c51ca --- /dev/null +++ b/man/quartile_col_struct.Rd @@ -0,0 +1,96 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/risk_diff_col_struct.R +\name{quartile_col_struct} +\alias{quartile_col_struct} +\title{Standard Quartile Column Structure} +\usage{ +quartile_col_struct( + lyt, + grp_var, + colspan_trt_map = NULL, + combo_map_df = NULL, + trtvar = names(colspan_trt_map)[2], + span_lbl = "Quartiles", + .pre = list(), + .post = list() +) +} +\arguments{ +\item{lyt}{(\code{PreDataTableLayouts}). The layout to modify. This +should virtually always be the object returned by +\code{basic_table}.} + +\item{grp_var}{(\code{character(1)})\cr Variable containing pre-defined quartile group labels (e.g., WGTGR1).} + +\item{colspan_trt_map}{(\code{data.frame}). The spanning label map for +the main columns, as given by \code{create_colspan_map}.} + +\item{combo_map_df}{(\code{data.frame} or \code{NULL}). A combination data +frame as defined by \code{\link[rtables:add_combo_levels]{add_combo_levels()}} with an additional +\code{is_control} column indicating whether the virtual level will +act as a reference (\code{TRUE}) or active (\code{FALSE}) group.} + +\item{trtvar}{(\code{character(1)} or \code{NULL})\cr the treatment variable to split by. Defaults to the +treatment variable in \code{colspan_trt_map}.} + +\item{span_lbl}{(\code{character(1)})\cr The spanning label to place above the quartile columns.} + +\item{.pre}{(\code{list} of \code{function}s)\cr Passed to \code{\link[rtables:make_split_fun]{rtables::make_split_fun()}} as \code{pre} for +treatment splitting.} + +\item{.post}{(\code{list} of \code{function}s)\cr Passed to \code{\link[rtables:make_split_fun]{rtables::make_split_fun()}} as \code{post} for +treatment splitting after the standard column-structure processing.} +} +\value{ +\code{lyt} updated with the specified quartile column structure added. +} +\description{ +Standard Quartile Column Structure +} +\details{ +Splits columns by \code{grp_var} which contains pre-defined quartile group labels from the dataset. +The \code{grp_var} should already contain formatted quartile range labels. These are not calculated +by the function. +} +\examples{ +dat <- data.frame( + TRT01A = factor(rep(c("Placebo", "Active 1"), each = 10)), + WGTGR1 = factor( + rep(c("47 to <62", "62 to <69", "69 to <74", "74 to 95", "47 to <62"), 4), + levels = c("47 to <62", "62 to <69", "69 to <74", "74 to 95") + ) +) +dat <- create_colspan_var( + dat, + non_active_grp = "Placebo", + non_active_grp_span_lbl = "Control", + active_grp_span_lbl = "Active Treatment", + colspan_var = "colspan_trt", + trt_var = "TRT01A" +) +colspan_trt_map <- create_colspan_map( + dat, + non_active_grp = "Placebo", + non_active_grp_span_lbl = "Control", + active_grp_span_lbl = "Active Treatment", + colspan_var = "colspan_trt", + trt_var = "TRT01A" +) + +lyt <- basic_table() |> + quartile_col_struct( + grp_var = "WGTGR1", + colspan_trt_map = colspan_trt_map, + span_lbl = "Body Weight (kg) Quartiles" + ) |> + analyze("WGTGR1", afun = function(x, ...) length(x)) + +build_table(lyt, dat) +} +\seealso{ +Other std_col_struct: +\code{\link[=grouped_cols_w_diffs]{grouped_cols_w_diffs()}}, +\code{\link[=make_multicomp_splfun]{make_multicomp_splfun()}}, +\code{\link[=shift_tbl_col_struct]{shift_tbl_col_struct()}} +} +\concept{std_col_struct} diff --git a/man/shift_tbl_col_struct.Rd b/man/shift_tbl_col_struct.Rd index 12808265..b3dbd6fc 100644 --- a/man/shift_tbl_col_struct.Rd +++ b/man/shift_tbl_col_struct.Rd @@ -51,6 +51,7 @@ build_table(lyt, shift_data) \seealso{ Other std_col_struct: \code{\link[=grouped_cols_w_diffs]{grouped_cols_w_diffs()}}, -\code{\link[=make_multicomp_splfun]{make_multicomp_splfun()}} +\code{\link[=make_multicomp_splfun]{make_multicomp_splfun()}}, +\code{\link[=quartile_col_struct]{quartile_col_struct()}} } \concept{std_col_struct} diff --git a/man/some_v_all_col_struct.Rd b/man/some_v_all_col_struct.Rd index 7aa2206d..0441b78b 100644 --- a/man/some_v_all_col_struct.Rd +++ b/man/some_v_all_col_struct.Rd @@ -58,7 +58,7 @@ being a motivating example. } \examples{ - library(junco) + library(junco) dat <- create_colspan_var( data.frame( TRT01A = factor(rep(c("Placebo", "Active 1", "Active 2"), each = 5)), diff --git a/tests/testthat/test-colstruct.R b/tests/testthat/test-colstruct.R index 90e10caa..ae21b5de 100644 --- a/tests/testthat/test-colstruct.R +++ b/tests/testthat/test-colstruct.R @@ -614,3 +614,101 @@ test_that("some_v_all_col_struct works without a spanning header", { expect_equal(unclass(col_paths(tbl)), expected) }) + +test_that("quartile_col_struct works with a spanning header", { + trtvar <- "TRT01A" + grp_var <- "WGTGR1" + dat <- data.frame( + TRT01A = factor(rep(c("Placebo", "Active 1"), each = 10)), + WGTGR1 = factor( + rep(c("47 to <62", "62 to <69", "69 to <74", "74 to 95", "47 to <62"), 4), + levels = c("47 to <62", "62 to <69", "69 to <74", "74 to 95") + ) + ) + dat <- create_colspan_var( + dat, + non_active_grp = "Placebo", + non_active_grp_span_lbl = "Control", + active_grp_span_lbl = "Active Treatment", + colspan_var = "colspan_trt", + trt_var = trtvar + ) + colspan_trt_map <- create_colspan_map( + dat, + non_active_grp = "Placebo", + non_active_grp_span_lbl = "Control", + active_grp_span_lbl = "Active Treatment", + colspan_var = "colspan_trt", + trt_var = trtvar + ) + + lyt <- basic_table() |> + quartile_col_struct( + grp_var = grp_var, + colspan_trt_map = colspan_trt_map, + span_lbl = "Body Weight (kg) Quartiles" + ) |> + analyze(grp_var, afun = function(x, ...) length(x)) + + tbl <- build_table(lyt, dat) + + spanvar <- names(colspan_trt_map)[1] + quartile_labs <- c("47 to <62", "62 to <69", "69 to <74", "74 to 95") + + expected <- unlist( + lapply( + seq_len(NROW(colspan_trt_map)), + function(i) { + rw <- colspan_trt_map[i, ] + lapply( + quartile_labs, + function(lab) { + c(spanvar, rw[[spanvar]], trtvar, rw[[trtvar]], trtvar, "quartiles", grp_var, lab) + } + ) + } + ), + recursive = FALSE + ) + + expect_equal(unclass(col_paths(tbl)), expected) +}) + +test_that("quartile_col_struct works without a spanning header", { + trtvar <- "ARM" + grp_var <- "WGTGR1" + dat <- data.frame( + ARM = factor(rep(c("Arm A", "Arm B"), each = 10)), + WGTGR1 = factor( + rep(c("47 to <62", "62 to <69", "69 to <74", "74 to 95", "47 to <62"), 4), + levels = c("47 to <62", "62 to <69", "69 to <74", "74 to 95") + ) + ) + + lyt <- basic_table() |> + quartile_col_struct( + grp_var = grp_var, + trtvar = trtvar, + span_lbl = "Body Weight (kg) Quartiles" + ) |> + analyze(grp_var, afun = function(x, ...) length(x)) + + tbl <- build_table(lyt, dat) + + quartile_labs <- c("47 to <62", "62 to <69", "69 to <74", "74 to 95") + + expected <- unlist( + lapply( + levels(dat[[trtvar]]), + function(lvl) { + lapply( + quartile_labs, + function(lab) c(trtvar, lvl, trtvar, "quartiles", grp_var, lab) + ) + } + ), + recursive = FALSE + ) + + expect_equal(unclass(col_paths(tbl)), expected) +}) From 95578e0f0083588492ce179d6e0dd58a451d679c Mon Sep 17 00:00:00 2001 From: munoztd0 Date: Wed, 30 Sep 2026 15:06:48 +0000 Subject: [PATCH 20/26] lint --- R/risk_diff_col_struct.R | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/R/risk_diff_col_struct.R b/R/risk_diff_col_struct.R index 7bdf4694..fabcd42f 100644 --- a/R/risk_diff_col_struct.R +++ b/R/risk_diff_col_struct.R @@ -1045,12 +1045,12 @@ some_v_all_col_struct <- function( grp <- fulldf[[grp_var]] labs <- unique(grp[!is.na(grp)]) labs <- sort(labs) - + datasplit <- stats::setNames( lapply(labs, function(lbl) fulldf[grp == lbl, , drop = FALSE]), labs ) - + make_split_result( labs, datasplit = datasplit, @@ -1067,7 +1067,7 @@ some_v_all_col_struct <- function( #' #' @details #' Splits columns by `grp_var` which contains pre-defined quartile group labels from the dataset. -#' The `grp_var` should already contain formatted quartile range labels. These are not calculated +#' The `grp_var` should already contain formatted quartile range labels. These are not calculated #' by the function. #' #' @returns `lyt` updated with the specified quartile column structure added. From 81190554ccbab19d733fe80ffa98148f0f063936 Mon Sep 17 00:00:00 2001 From: Gabe Becker Date: Wed, 30 Sep 2026 23:58:16 -0700 Subject: [PATCH 21/26] allow diabling of total column for subgrp struct, add to vign --- NAMESPACE | 45 +- R/risk_diff_col_struct.R | 182 +- man/grouped_cols_w_diffs.Rd | 40 +- man/make_multicomp_splfun.Rd | 1 - man/quartile_col_struct.Rd | 96 - man/shift_tbl_col_struct.Rd | 3 +- man/some_v_all_col_struct.Rd | 18 +- prolems.R~ | 29 + .../_snaps/docx_exporter_functions.md | 28097 ---------------- tests/testthat/test-colstruct.R | 111 +- vignettes/standard_column_structures.Rmd | 60 + 11 files changed, 215 insertions(+), 28467 deletions(-) delete mode 100644 man/quartile_col_struct.Rd create mode 100644 prolems.R~ delete mode 100644 tests/testthat/_snaps/docx_exporter_functions.md diff --git a/NAMESPACE b/NAMESPACE index fb133e0c..fc57a35d 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -117,7 +117,6 @@ export(prepend_label_cell) export(prop_ratio_cmh) export(prop_split_fun) export(prop_table_afun) -export(quartile_col_struct) export(rbmi_analyse) export(rbmi_ancova) export(rbmi_ancova_single) @@ -172,33 +171,23 @@ import(rlistings) import(rtables) import(tern) import(tidytlg) -importFrom(formatters, - with_label, - wrap_string_ttype -) +importFrom(formatters,with_label) +importFrom(formatters,wrap_string_ttype) importFrom(generics,tidy) -importFrom(rtables, - in_rows, - rcell -) -importFrom(stats, - ave, - complete.cases, - setNames, - t.test -) +importFrom(rtables,in_rows) +importFrom(rtables,rcell) +importFrom(stats,ave) +importFrom(stats,complete.cases) +importFrom(stats,setNames) +importFrom(stats,t.test) importFrom(survival,Surv) -importFrom(tern, - a_summary, - control_analyze_vars, - f_conf_level, - fit_coxreg_multivar, - get_covariates, - get_stats, - s_summary -) -importFrom(tibble, - tibble, - tribble -) +importFrom(tern,a_summary) +importFrom(tern,control_analyze_vars) +importFrom(tern,f_conf_level) +importFrom(tern,fit_coxreg_multivar) +importFrom(tern,get_covariates) +importFrom(tern,get_stats) +importFrom(tern,s_summary) +importFrom(tibble,tibble) +importFrom(tibble,tribble) importFrom(utils,read.csv) diff --git a/R/risk_diff_col_struct.R b/R/risk_diff_col_struct.R index 85cb8806..1c84abf8 100644 --- a/R/risk_diff_col_struct.R +++ b/R/risk_diff_col_struct.R @@ -783,19 +783,28 @@ spans_trtvar_no_diffs <- function( } #' @rdname grouped_cols_w_diffs -#' @param trtvar (`character(1)` or `NULL`)\cr the treatment variable to split by. Defaults to the -#' treatment variable in `colspan_trt_map`. -#' @param subgrpvar (`character(1)` or `NULL`)\cr the name of the subgroup variable to split -#' by within the `trtvar` split -#' @param subgrplbl (`character(1)` or `NULL`)\cr the spanning label to place over the subgroups, -#' if different than `subgrpvar` -#' @param .pre (`list` of `function`s)\cr Passed to [rtables::make_split_fun()] as `pre` for -#' treatment splitting. -#' @param .post (`list` of `function`s)\cr Passed to [rtables::make_split_fun()] as `post` for -#' treatment splitting after the standard column-structure processing. -#' @details `grouped_cols_w_subgrps` creates a hierarchical column structure that splits by `trtvar`, -#' underneath which is a spanning label over a split with a Total column along with columns for -#' each level of `subgrpvar`. +#' @param trtvar (`character(1)` or `NULL`)\cr the treatment variable +#' to split by. Defaults to the treatment variable in +#' `colspan_trt_map`. +#' @param subgrpvar (`character(1)` or `NULL`)\cr the name of the +#' subgroup variable to split by within the `trtvar` split +#' @param subgrplbl (`character(1)` or `NULL`)\cr the spanning label +#' to place over the subgroups, if different than `subgrpvar` +#' @param total_facet (`logical(1)`)\cr should an overall facet be +#' prepended to the partition defined by `subgrpvar`? Defaults to +#' `TRUE`. +#' @param total_lbl (`character(1)`)\cr Label to be used for the +#' overall facet, if applicable. Defaults to `"Total"`; ignored if +#' `total_facet` is `FALSE`. +#' @param .pre (`list` of `function`s)\cr Passed to +#' [rtables::make_split_fun()] as `pre` for treatment splitting. +#' @param .post (`list` of `function`s)\cr Passed to +#' [rtables::make_split_fun()] as `post` for treatment splitting +#' after the standard column-structure processing. +#' @details `grouped_cols_w_subgrps` creates a hierarchical column +#' structure that splits by `trtvar`, underneath which is a +#' spanning label over a split with a Total column along with +#' columns for each level of `subgrpvar`. #' @export #' @examples #' dat <- create_colspan_var( @@ -834,6 +843,8 @@ grouped_cols_w_subgrps <- function( trtvar = names(colspan_trt_map)[2], subgrpvar = NULL, subgrplbl = subgrpvar, + total_facet = TRUE, + total_lbl = "Total", .pre = list(), .post = list() ) { @@ -870,7 +881,8 @@ grouped_cols_w_subgrps <- function( ) |> split_cols_by( subgrpvar, - split_fun = add_overall_level("Total", first = TRUE) + ## NULL is default behavior so this is ok + split_fun = if (total_facet) add_overall_level(total_lbl, first = TRUE) ) lyt } @@ -1039,145 +1051,3 @@ some_v_all_col_struct <- function( lyt } - -# quartile helpers -.quartile_cutpoints_sas2 <- function(x) { - x <- x[!is.na(x)] - if (length(x) == 0) { - stop("No non-missing values available to compute quartiles.") - } - qs <- stats::quantile(x, probs = c(0.25, 0.5, 0.75), type = 2, names = FALSE) - c(min(x), qs, max(x)) -} - -.quartile_bin_labels <- function(cuts, digits, round_type) { - fmt <- function(v) round_fmt(v, digits = digits, round_type = round_type) - c( - paste0(fmt(cuts[1]), " to <", fmt(cuts[2])), - paste0(fmt(cuts[2]), " to <", fmt(cuts[3])), - paste0(fmt(cuts[3]), " to <", fmt(cuts[4])), - paste0(fmt(cuts[4]), " to ", fmt(cuts[5])) - ) -} - -.quartile_bin_index <- function(x, cuts) { - findInterval(x, cuts[2:4], rightmost.closed = FALSE) + 1L -} - -.quartile_facets_postfun <- function(var, digits, round_type) { - function(ret, spl, fulldf, .spl_context) { - x <- fulldf[[var]] - cuts <- .quartile_cutpoints_sas2(x) - labs <- .quartile_bin_labels(cuts, digits = digits, round_type = round_type) - grp <- .quartile_bin_index(x, cuts) - - datasplit <- stats::setNames( - lapply(seq_len(4), function(i) fulldf[!is.na(grp) & grp == i, , drop = FALSE]), - labs - ) - vnm <- as.name(var) - subset_exprs <- list( - bquote(!is.na(.(vnm)) & .(vnm) < .(cuts[2])), - bquote(!is.na(.(vnm)) & .(vnm) >= .(cuts[2]) & .(vnm) < .(cuts[3])), - bquote(!is.na(.(vnm)) & .(vnm) >= .(cuts[3]) & .(vnm) < .(cuts[4])), - bquote(!is.na(.(vnm)) & .(vnm) >= .(cuts[4])) - ) - make_split_result( - labs, - datasplit = datasplit, - labels = stats::setNames(labs, labs), - subset_exprs = subset_exprs - ) - } -} - -#' Standard Quartile Column Structure -#' -#' @inheritParams grouped_cols_w_subgrps -#' @param var (`character(1)`)\cr The continuous variable to compute quartile-based columns for. -#' @param span_lbl (`character(1)`)\cr The spanning label to place above the quartile columns. -#' @param digits (`integer(1)`)\cr Number of decimal places used when formatting the quartile. -#' @param round_type (`character(1)`)\cr rounding method, passed onto -#' [formatters::round_fmt()] when formatting the quartile. -#' -#' @details -#' Splits `trtvar` into four quartile columns of `var`, with `span_lbl` -#' as a spanning label above them. Cut points (Q1, median, Q3) are worked -#' out separately within each treatment column, using the same quantile -#' -#' @returns `lyt` updated with the specified quartile column structure added. -#' -#' @family std_col_struct -#' @export -#' @examples -#' set.seed(1) -#' dat <- create_colspan_var( -#' data.frame( -#' TRT01A = factor(rep(c("Placebo", "Active 1"), each = 20)), -#' BW = c(rnorm(20, 70, 10), rnorm(20, 75, 10)) -#' ), -#' non_active_grp = "Placebo", -#' non_active_grp_span_lbl = "Control", -#' active_grp_span_lbl = "Active Treatment", -#' colspan_var = "colspan_trt", -#' trt_var = "TRT01A" -#' ) -#' colspan_trt_map <- create_colspan_map( -#' dat, -#' non_active_grp = "Placebo", -#' non_active_grp_span_lbl = "Control", -#' active_grp_span_lbl = "Active Treatment", -#' colspan_var = "colspan_trt", -#' trt_var = "TRT01A" -#' ) -#' -#' lyt <- basic_table() |> -#' quartile_col_struct( -#' var = "BW", -#' colspan_trt_map = colspan_trt_map, -#' span_lbl = "Body Weight (kg) Quartiles" -#' ) |> -#' analyze("BW", afun = function(x, ...) length(x)) -#' -#' build_table(lyt, dat) -quartile_col_struct <- function( - lyt, - var, - colspan_trt_map = NULL, - combo_map_df = NULL, - trtvar = names(colspan_trt_map)[2], - span_lbl = paste(var, "Quartiles"), - digits = 0, - round_type = valid_round_type, - .pre = list(), - .post = list() -) { - if (is.null(trtvar)) { - stop("trtvar must be specified if no colspan map is provided.") - } - round_type <- match.arg(round_type) - - lyt <- spans_trtvar_no_diffs( - lyt, - colspan_trt_map = colspan_trt_map, - combo_map_df = combo_map_df, - trtvar = trtvar, - .pre = .pre, - .post = .post - ) - - span_splfun <- make_split_fun( - post = list( - real_add_overall_facet("quartiles", label = span_lbl), - restrict_facets("quartiles", op = "keep") - ) - ) - - quartile_splfun <- make_split_fun( - post = list(.quartile_facets_postfun(var, digits = digits, round_type = round_type)) - ) - - lyt |> - split_cols_by(trtvar, split_fun = span_splfun) |> - split_cols_by(trtvar, split_fun = quartile_splfun) -} diff --git a/man/grouped_cols_w_diffs.Rd b/man/grouped_cols_w_diffs.Rd index 478cc95f..063c36ac 100644 --- a/man/grouped_cols_w_diffs.Rd +++ b/man/grouped_cols_w_diffs.Rd @@ -25,6 +25,8 @@ grouped_cols_w_subgrps( trtvar = names(colspan_trt_map)[2], subgrpvar = NULL, subgrplbl = subgrpvar, + total_facet = TRUE, + total_lbl = "Total", .pre = list(), .post = list() ) @@ -70,20 +72,30 @@ faceting.} \code{\link[=make_multicomp_splfun]{make_multicomp_splfun()}} as \code{.post} for risk difference faceting.} -\item{trtvar}{(\code{character(1)} or \code{NULL})\cr the treatment variable to split by. Defaults to the -treatment variable in \code{colspan_trt_map}.} +\item{trtvar}{(\code{character(1)} or \code{NULL})\cr the treatment variable +to split by. Defaults to the treatment variable in +\code{colspan_trt_map}.} -\item{subgrpvar}{(\code{character(1)} or \code{NULL})\cr the name of the subgroup variable to split -by within the \code{trtvar} split} +\item{subgrpvar}{(\code{character(1)} or \code{NULL})\cr the name of the +subgroup variable to split by within the \code{trtvar} split} -\item{subgrplbl}{(\code{character(1)} or \code{NULL})\cr the spanning label to place over the subgroups, -if different than \code{subgrpvar}} +\item{subgrplbl}{(\code{character(1)} or \code{NULL})\cr the spanning label +to place over the subgroups, if different than \code{subgrpvar}} -\item{.pre}{(\code{list} of \code{function}s)\cr Passed to \code{\link[rtables:make_split_fun]{rtables::make_split_fun()}} as \code{pre} for -treatment splitting.} +\item{total_facet}{(\code{logical(1)})\cr should an overall facet be +prepended to the partition defined by \code{subgrpvar}? Defaults to +\code{TRUE}.} -\item{.post}{(\code{list} of \code{function}s)\cr Passed to \code{\link[rtables:make_split_fun]{rtables::make_split_fun()}} as \code{post} for -treatment splitting after the standard column-structure processing.} +\item{total_lbl}{(\code{character(1)})\cr Label to be used for the +overall facet, if applicable. Defaults to \code{"Total"}; ignored if +\code{total_facet} is \code{FALSE}.} + +\item{.pre}{(\code{list} of \code{function}s)\cr Passed to +\code{\link[rtables:make_split_fun]{rtables::make_split_fun()}} as \code{pre} for treatment splitting.} + +\item{.post}{(\code{list} of \code{function}s)\cr Passed to +\code{\link[rtables:make_split_fun]{rtables::make_split_fun()}} as \code{post} for treatment splitting +after the standard column-structure processing.} } \value{ \code{lyt} updated with the specified main and risk difference @@ -141,9 +153,10 @@ For the purposes of pathin in the resulting structure, \code{diffs_label} will be both the split name and split value of the parent containing the individual risk difference columns. -\code{grouped_cols_w_subgrps} creates a hierarchical column structure that splits by \code{trtvar}, -underneath which is a spanning label over a split with a Total column along with columns for -each level of \code{subgrpvar}. +\code{grouped_cols_w_subgrps} creates a hierarchical column +structure that splits by \code{trtvar}, underneath which is a +spanning label over a split with a Total column along with +columns for each level of \code{subgrpvar}. } \examples{ colspan_var <- create_colspan_var( @@ -201,7 +214,6 @@ build_table(lyt, dat) \seealso{ Other std_col_struct: \code{\link[=make_multicomp_splfun]{make_multicomp_splfun()}}, -\code{\link[=quartile_col_struct]{quartile_col_struct()}}, \code{\link[=shift_tbl_col_struct]{shift_tbl_col_struct()}} } \concept{std_col_struct} diff --git a/man/make_multicomp_splfun.Rd b/man/make_multicomp_splfun.Rd index 0b0f8bfd..a47b8253 100644 --- a/man/make_multicomp_splfun.Rd +++ b/man/make_multicomp_splfun.Rd @@ -146,7 +146,6 @@ at https://github.com/johnsonandjohnson/junco/issues \seealso{ Other std_col_struct: \code{\link[=grouped_cols_w_diffs]{grouped_cols_w_diffs()}}, -\code{\link[=quartile_col_struct]{quartile_col_struct()}}, \code{\link[=shift_tbl_col_struct]{shift_tbl_col_struct()}} } \concept{std_col_struct} diff --git a/man/quartile_col_struct.Rd b/man/quartile_col_struct.Rd deleted file mode 100644 index 932c51ca..00000000 --- a/man/quartile_col_struct.Rd +++ /dev/null @@ -1,96 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/risk_diff_col_struct.R -\name{quartile_col_struct} -\alias{quartile_col_struct} -\title{Standard Quartile Column Structure} -\usage{ -quartile_col_struct( - lyt, - grp_var, - colspan_trt_map = NULL, - combo_map_df = NULL, - trtvar = names(colspan_trt_map)[2], - span_lbl = "Quartiles", - .pre = list(), - .post = list() -) -} -\arguments{ -\item{lyt}{(\code{PreDataTableLayouts}). The layout to modify. This -should virtually always be the object returned by -\code{basic_table}.} - -\item{grp_var}{(\code{character(1)})\cr Variable containing pre-defined quartile group labels (e.g., WGTGR1).} - -\item{colspan_trt_map}{(\code{data.frame}). The spanning label map for -the main columns, as given by \code{create_colspan_map}.} - -\item{combo_map_df}{(\code{data.frame} or \code{NULL}). A combination data -frame as defined by \code{\link[rtables:add_combo_levels]{add_combo_levels()}} with an additional -\code{is_control} column indicating whether the virtual level will -act as a reference (\code{TRUE}) or active (\code{FALSE}) group.} - -\item{trtvar}{(\code{character(1)} or \code{NULL})\cr the treatment variable to split by. Defaults to the -treatment variable in \code{colspan_trt_map}.} - -\item{span_lbl}{(\code{character(1)})\cr The spanning label to place above the quartile columns.} - -\item{.pre}{(\code{list} of \code{function}s)\cr Passed to \code{\link[rtables:make_split_fun]{rtables::make_split_fun()}} as \code{pre} for -treatment splitting.} - -\item{.post}{(\code{list} of \code{function}s)\cr Passed to \code{\link[rtables:make_split_fun]{rtables::make_split_fun()}} as \code{post} for -treatment splitting after the standard column-structure processing.} -} -\value{ -\code{lyt} updated with the specified quartile column structure added. -} -\description{ -Standard Quartile Column Structure -} -\details{ -Splits columns by \code{grp_var} which contains pre-defined quartile group labels from the dataset. -The \code{grp_var} should already contain formatted quartile range labels. These are not calculated -by the function. -} -\examples{ -dat <- data.frame( - TRT01A = factor(rep(c("Placebo", "Active 1"), each = 10)), - WGTGR1 = factor( - rep(c("47 to <62", "62 to <69", "69 to <74", "74 to 95", "47 to <62"), 4), - levels = c("47 to <62", "62 to <69", "69 to <74", "74 to 95") - ) -) -dat <- create_colspan_var( - dat, - non_active_grp = "Placebo", - non_active_grp_span_lbl = "Control", - active_grp_span_lbl = "Active Treatment", - colspan_var = "colspan_trt", - trt_var = "TRT01A" -) -colspan_trt_map <- create_colspan_map( - dat, - non_active_grp = "Placebo", - non_active_grp_span_lbl = "Control", - active_grp_span_lbl = "Active Treatment", - colspan_var = "colspan_trt", - trt_var = "TRT01A" -) - -lyt <- basic_table() |> - quartile_col_struct( - grp_var = "WGTGR1", - colspan_trt_map = colspan_trt_map, - span_lbl = "Body Weight (kg) Quartiles" - ) |> - analyze("WGTGR1", afun = function(x, ...) length(x)) - -build_table(lyt, dat) -} -\seealso{ -Other std_col_struct: -\code{\link[=grouped_cols_w_diffs]{grouped_cols_w_diffs()}}, -\code{\link[=make_multicomp_splfun]{make_multicomp_splfun()}}, -\code{\link[=shift_tbl_col_struct]{shift_tbl_col_struct()}} -} -\concept{std_col_struct} diff --git a/man/shift_tbl_col_struct.Rd b/man/shift_tbl_col_struct.Rd index b3dbd6fc..12808265 100644 --- a/man/shift_tbl_col_struct.Rd +++ b/man/shift_tbl_col_struct.Rd @@ -51,7 +51,6 @@ build_table(lyt, shift_data) \seealso{ Other std_col_struct: \code{\link[=grouped_cols_w_diffs]{grouped_cols_w_diffs()}}, -\code{\link[=make_multicomp_splfun]{make_multicomp_splfun()}}, -\code{\link[=quartile_col_struct]{quartile_col_struct()}} +\code{\link[=make_multicomp_splfun]{make_multicomp_splfun()}} } \concept{std_col_struct} diff --git a/man/some_v_all_col_struct.Rd b/man/some_v_all_col_struct.Rd index 0441b78b..9784ef9f 100644 --- a/man/some_v_all_col_struct.Rd +++ b/man/some_v_all_col_struct.Rd @@ -30,11 +30,12 @@ frame as defined by \code{\link[rtables:add_combo_levels]{add_combo_levels()}} w \code{is_control} column indicating whether the virtual level will act as a reference (\code{TRUE}) or active (\code{FALSE}) group.} -\item{trtvar}{(\code{character(1)} or \code{NULL})\cr the treatment variable to split by. Defaults to the -treatment variable in \code{colspan_trt_map}.} +\item{trtvar}{(\code{character(1)} or \code{NULL})\cr the treatment variable +to split by. Defaults to the treatment variable in +\code{colspan_trt_map}.} -\item{subgrpvar}{(\code{character(1)} or \code{NULL})\cr the name of the subgroup variable to split -by within the \code{trtvar} split} +\item{subgrpvar}{(\code{character(1)} or \code{NULL})\cr the name of the +subgroup variable to split by within the \code{trtvar} split} \item{subgrp_lbl}{(\code{character(1)})\cr The label to put above the combination level representing \code{subgrp_lvls}} @@ -42,11 +43,12 @@ by within the \code{trtvar} split} \item{subgrp_lvls}{(\code{characgter})\cr All level(s) to be included in the \code{subgrp_lbl} column.} -\item{.pre}{(\code{list} of \code{function}s)\cr Passed to \code{\link[rtables:make_split_fun]{rtables::make_split_fun()}} as \code{pre} for -treatment splitting.} +\item{.pre}{(\code{list} of \code{function}s)\cr Passed to +\code{\link[rtables:make_split_fun]{rtables::make_split_fun()}} as \code{pre} for treatment splitting.} -\item{.post}{(\code{list} of \code{function}s)\cr Passed to \code{\link[rtables:make_split_fun]{rtables::make_split_fun()}} as \code{post} for -treatment splitting after the standard column-structure processing.} +\item{.post}{(\code{list} of \code{function}s)\cr Passed to +\code{\link[rtables:make_split_fun]{rtables::make_split_fun()}} as \code{post} for treatment splitting +after the standard column-structure processing.} } \description{ Standard All vs Some (e.g. Related AEs) column structure diff --git a/prolems.R~ b/prolems.R~ new file mode 100644 index 00000000..3d018ed3 --- /dev/null +++ b/prolems.R~ @@ -0,0 +1,29 @@ +library(junco) +library(pharmaverseadamjnj) + +lyt <- basic_table() |> + split_cols_by("TRT01P") |> + split_rows_by("AEBODSYS", split_fun = trim_levels_in_group("AEDECOD")) |> + split_rows_by("AEDECOD") |> + split_rows_by("RACE") |> + analyze("AETOXGR") + +system.time({tbl <- build_table(lyt, adae, alt_counts_df = adsl)}) + + +do_one <- function(naebodsys, dat = adae) { + newdat <- dat[dat$AEBODSYS %in% levels(dat$AEBODSYS)[seq(1, naebodsys)],] + newdat$AEBODSYS <- factor(newdat$AEBODSYS) + lyt <- basic_table() |> + split_cols_by("TRT01P") |> + split_rows_by("AEBODSYS", split_fun = trim_levels_in_group("AEDECOD")) |> + split_rows_by("AEDECOD") |> + split_rows_by("RACE") |> + analyze("AETOXGR") + gc() + bldtime <- system.time({tbl <- build_table(lyt, newdat, alt_counts_df = adsl)})[[3]] + + data.frame(nrows = nrow(tbl), ncols = ncol(tbl), build_time = bldtime) +} + + diff --git a/tests/testthat/_snaps/docx_exporter_functions.md b/tests/testthat/_snaps/docx_exporter_functions.md deleted file mode 100644 index 9fffa92e..00000000 --- a/tests/testthat/_snaps/docx_exporter_functions.md +++ /dev/null @@ -1,28097 +0,0 @@ -# tt_to_flextable_j() works fine with Tables - - Code - res$header - Output - $dataset - V1 V2 - 1 output ID:\tThis is the main Title output ID:\tThis is the main Title - 2 V1 V2 - V3 V4 - 1 output ID:\tThis is the main Title output ID:\tThis is the main Title - 2 V3 V4 - - $content - $data - V1 V2 V3 V4 - [1,] data.frame,21 data.frame,21 data.frame,21 data.frame,21 - [2,] data.frame,21 data.frame,21 data.frame,21 data.frame,21 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [[1]] - txt font.size italic bold underlined strike color shading.color font.family - 1 NA NA NA NA NA - hansi.family eastasia.family cs.family vertical.align width height url - 1 NA NA - eq_data word_field_data qmd_data img_data .chunk_index - 1 NULL 1 - - attr(,"class") - [1] "paragraph" - - attr(,"class") - [1] "chunkset_struct" - - $col_keys - [1] "V1" "V2" "V3" "V4" - - $colwidths - V1 V2 V3 V4 - 1.974762 1.468413 1.468413 1.468413 - - $rowheights - [1] 0.4430556 0.4430556 - - $hrule - [1] "auto" "auto" - - $spans - $spans$rows - 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---- - - Code - res$caption - Output - $value - NULL - - ---- - - Code - res$blanks - Output - character(0) - ---- - - Code - res$properties - Output - $layout - [1] "fixed" - - $width - [1] 0 - - $align - [1] "left" - - $opts_html - $extra_css - [1] "" - - $scroll - NULL - - $extra_class - NULL - - attr(,"class") - [1] "opts_ft_html" - - $opts_word - $split - [1] TRUE - - $keep_with_next - [1] TRUE - - $repeat_headers - [1] TRUE - - attr(,"class") - [1] "opts_ft_word" - - $opts_pdf - $tabcolsep - [1] 2 - - $arraystretch - [1] 1.5 - - $float - [1] "none" - - $default_line_color - [1] "black" - - $caption_repeat - [1] TRUE - - $footer_repeat - [1] FALSE - - $fonts_ignore - [1] FALSE - - attr(,"class") - [1] "opts_ft_pdf" - - $word_title - NULL - - $word_description - NULL - - ---- - - Code - officer::docx_summary(x = doc, detailed = detailed) - Output - doc_index content_type run_index run_content_index run_content_text - 1 1 table cell 1 1 - 2 2 table cell 1 1 A: Drug X (N=134) - 3 3 table cell 1 1 B: Placebo (N=134) - 4 4 table cell 1 1 C: Combination (N=132) - 5 5 table cell 1 1 CHN - 6 6 table cell 1 1 74/134 (55.2%) - 7 7 table cell 1 1 81/134 (60.4%) - 8 8 table cell 1 1 64/132 (48.5%) - 9 9 table cell 1 1 USA - 10 10 table cell 1 1 10/134 (7.5%) - 11 11 table cell 1 1 13/134 (9.7%) - 12 12 table cell 1 1 17/132 (12.9%) - 13 13 table cell 1 1 BRA - 14 14 table cell 1 1 13/134 (9.7%) - 15 15 table cell 1 1 7/134 (5.2%) - 16 16 table cell 1 1 10/132 (7.6%) - 17 17 table cell 1 1 PAK - 18 18 table cell 1 1 12/134 (9.0%) - 19 19 table cell 1 1 9/134 (6.7%) - 20 20 table cell 1 1 10/132 (7.6%) - 21 21 table cell 1 1 NGA - 22 22 table cell 1 1 8/134 (6.0%) - 23 23 table cell 1 1 7/134 (5.2%) - 24 24 table cell 1 1 11/132 (8.3%) - 25 25 table cell 1 1 RUS - 26 26 table cell 1 1 5/134 (3.7%) - 27 27 table cell 1 1 8/134 (6.0%) - 28 28 table cell 1 1 6/132 (4.5%) - 29 29 table cell 1 1 JPN - 30 30 table cell 1 1 5/134 (3.7%) - 31 31 table cell 1 1 4/134 (3.0%) - 32 32 table cell 1 1 9/132 (6.8%) - 33 33 table cell 1 1 GBR - 34 34 table cell 1 1 4/134 (3.0%) - 35 35 table cell 1 1 3/134 (2.2%) - 36 36 table cell 1 1 2/132 (1.5%) - 37 37 table cell 1 1 CAN - 38 38 table cell 1 1 3/134 (2.2%) - 39 39 table cell 1 1 2/134 (1.5%) - 40 40 table cell 1 1 3/132 (2.3%) - 41 41 table cell 1 1 CHE - 42 42 table cell 1 1 0/134 (0.0%) - 43 43 table cell 1 1 0/134 (0.0%) - 44 44 table cell 1 1 0/132 (0.0%) - image_path field_code footnote_text link link_to_bookmark bookmark_start - 1 - 2 - 3 - 4 - 5 - 6 - 7 - 8 - 9 - 10 - 11 - 12 - 13 - 14 - 15 - 16 - 17 - 18 - 19 - 20 - 21 - 22 - 23 - 24 - 25 - 26 - 27 - 28 - 29 - 30 - 31 - 32 - 33 - 34 - 35 - 36 - 37 - 38 - 39 - 40 - 41 - 42 - 43 - 44 - character_stylename sz sz_cs font_family_ascii font_family_eastasia - 1 18 18 Times New Roman Times New Roman - 2 18 18 Times New Roman Times New Roman - 3 18 18 Times New Roman Times New Roman - 4 18 18 Times New Roman Times New Roman - 5 18 18 Times New Roman Times New Roman - 6 18 18 Times New Roman Times New Roman - 7 18 18 Times New Roman Times New Roman - 8 18 18 Times New Roman Times New Roman - 9 18 18 Times New Roman Times New Roman - 10 18 18 Times New Roman Times New Roman - 11 18 18 Times New Roman Times New Roman - 12 18 18 Times New Roman Times New Roman - 13 18 18 Times New Roman Times New Roman - 14 18 18 Times New Roman Times New Roman - 15 18 18 Times New Roman Times New Roman - 16 18 18 Times New Roman Times New Roman - 17 18 18 Times New Roman Times New Roman - 18 18 18 Times New Roman Times New Roman - 19 18 18 Times New Roman Times New Roman - 20 18 18 Times New Roman Times New Roman - 21 18 18 Times New Roman Times New Roman - 22 18 18 Times New Roman Times New Roman - 23 18 18 Times New Roman Times New Roman - 24 18 18 Times New Roman Times New Roman - 25 18 18 Times New Roman Times New Roman - 26 18 18 Times New Roman Times New Roman - 27 18 18 Times New Roman Times New Roman - 28 18 18 Times New Roman Times New Roman - 29 18 18 Times New Roman Times New Roman - 30 18 18 Times New Roman Times New Roman - 31 18 18 Times New Roman Times New Roman - 32 18 18 Times New Roman Times New Roman - 33 18 18 Times New Roman Times New Roman - 34 18 18 Times New Roman Times New Roman - 35 18 18 Times New Roman Times New Roman - 36 18 18 Times New Roman Times New Roman - 37 18 18 Times New Roman Times New Roman - 38 18 18 Times New Roman Times New Roman - 39 18 18 Times New Roman Times New Roman - 40 18 18 Times New Roman Times New Roman - 41 18 18 Times New Roman Times New Roman - 42 18 18 Times New Roman Times New Roman - 43 18 18 Times New Roman Times New Roman - 44 18 18 Times New Roman Times New Roman - font_family_hansi font_family_cs bold italic underline color shading - 1 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 2 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 3 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 4 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 5 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 6 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 7 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 8 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 9 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 10 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 11 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 12 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 13 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 14 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 15 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 16 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 17 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 18 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 19 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 20 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 21 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 22 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 23 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 24 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 25 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 26 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 27 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 28 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 29 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 30 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 31 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 32 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 33 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 34 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 35 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 36 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 37 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 38 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 39 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 40 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 41 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 42 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 43 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 44 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - shading_color shading_fill paragraph_stylename keep_with_next align level - 1 FALSE left NA - 2 FALSE center NA - 3 FALSE center NA - 4 FALSE center NA - 5 FALSE left NA - 6 FALSE right NA - 7 FALSE right NA - 8 FALSE right NA - 9 FALSE left NA - 10 FALSE center NA - 11 FALSE center NA - 12 FALSE center NA - 13 FALSE left NA - 14 FALSE center NA - 15 FALSE center NA - 16 FALSE center NA - 17 FALSE left NA - 18 FALSE center NA - 19 FALSE center NA - 20 FALSE center NA - 21 FALSE left NA - 22 FALSE left NA - 23 FALSE center NA - 24 FALSE center NA - 25 FALSE left NA - 26 FALSE left NA - 27 FALSE center NA - 28 FALSE center NA - 29 FALSE right NA - 30 FALSE center NA - 31 FALSE center NA - 32 FALSE center NA - 33 FALSE left NA - 34 FALSE center NA - 35 FALSE center NA - 36 FALSE center NA - 37 FALSE left NA - 38 FALSE center NA - 39 FALSE center NA - 40 FALSE center NA - 41 FALSE left NA - 42 FALSE center NA - 43 FALSE center NA - 44 FALSE center NA - num_id table_index row_id cell_id col_span row_span is_header - 1 NA 1 1 1 1 1 TRUE - 2 NA 1 1 2 1 1 TRUE - 3 NA 1 1 3 1 1 TRUE - 4 NA 1 1 4 1 1 TRUE - 5 NA 1 2 1 1 1 FALSE - 6 NA 1 2 2 1 1 FALSE - 7 NA 1 2 3 1 1 FALSE - 8 NA 1 2 4 1 1 FALSE - 9 NA 1 3 1 1 1 FALSE - 10 NA 1 3 2 1 1 FALSE - 11 NA 1 3 3 1 1 FALSE - 12 NA 1 3 4 1 1 FALSE - 13 NA 1 4 1 1 1 FALSE - 14 NA 1 4 2 1 1 FALSE - 15 NA 1 4 3 1 1 FALSE - 16 NA 1 4 4 1 1 FALSE - 17 NA 1 5 1 1 1 FALSE - 18 NA 1 5 2 1 1 FALSE - 19 NA 1 5 3 1 1 FALSE - 20 NA 1 5 4 1 1 FALSE - 21 NA 1 6 1 1 1 FALSE - 22 NA 1 6 2 1 1 FALSE - 23 NA 1 6 3 1 1 FALSE - 24 NA 1 6 4 1 1 FALSE - 25 NA 1 7 1 1 1 FALSE - 26 NA 1 7 2 1 1 FALSE - 27 NA 1 7 3 1 1 FALSE - 28 NA 1 7 4 1 1 FALSE - 29 NA 1 8 1 1 1 FALSE - 30 NA 1 8 2 1 1 FALSE - 31 NA 1 8 3 1 1 FALSE - 32 NA 1 8 4 1 1 FALSE - 33 NA 1 9 1 1 1 FALSE - 34 NA 1 9 2 1 1 FALSE - 35 NA 1 9 3 1 1 FALSE - 36 NA 1 9 4 1 1 FALSE - 37 NA 1 10 1 1 1 FALSE - 38 NA 1 10 2 1 1 FALSE - 39 NA 1 10 3 1 1 FALSE - 40 NA 1 10 4 1 1 FALSE - 41 NA 1 11 1 1 1 FALSE - 42 NA 1 11 2 1 1 FALSE - 43 NA 1 11 3 1 1 FALSE - 44 NA 1 11 4 1 1 FALSE - table_stylename - 1 - 2 - 3 - 4 - 5 - 6 - 7 - 8 - 9 - 10 - 11 - 12 - 13 - 14 - 15 - 16 - 17 - 18 - 19 - 20 - 21 - 22 - 23 - 24 - 25 - 26 - 27 - 28 - 29 - 30 - 31 - 32 - 33 - 34 - 35 - 36 - 37 - 38 - 39 - 40 - 41 - 42 - 43 - 44 - -# tt_to_flextable_j() works fine with Listings - - Code - res$header - Output - $dataset - COL0 COL1 - 1 output ID:\tThis is the main Title output ID:\tThis is the main Title - 2 COL0 COL1 - COL2 - 1 output ID:\tThis is the main Title - 2 COL2 - - $content - $data - COL0 COL1 COL2 - [1,] data.frame,21 data.frame,21 data.frame,21 - [2,] data.frame,21 data.frame,21 data.frame,21 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [[1]] - txt font.size italic bold underlined strike color shading.color font.family - 1 NA NA NA NA NA - hansi.family eastasia.family cs.family vertical.align width height url - 1 NA NA - eq_data word_field_data qmd_data img_data .chunk_index - 1 NULL 1 - - attr(,"class") - [1] "paragraph" - - attr(,"class") - [1] "chunkset_struct" - - $col_keys - [1] "COL0" "COL1" "COL2" - - $colwidths - COL0 COL1 COL2 - 1.197778 3.647778 3.974444 - - $rowheights - [1] 0.4430556 0.4430556 - - $hrule - [1] "auto" "auto" - - $spans - $spans$rows - [,1] [,2] [,3] - [1,] 3 0 0 - [2,] 1 1 1 - - $spans$columns - [,1] [,2] [,3] - [1,] 1 1 1 - [2,] 1 1 1 - - - $styles - $styles$cells - $vertical.align - $data - COL0 COL1 COL2 - [1,] "bottom" "bottom" "bottom" - [2,] "bottom" "bottom" "bottom" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] "center" - - attr(,"class") - [1] "fpstruct" - - $width - $data - COL0 COL1 COL2 - [1,] NA NA NA - [2,] NA NA NA - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] NA - - attr(,"class") - [1] "fpstruct" - - $height - $data - COL0 COL1 COL2 - [1,] NA NA NA - [2,] NA NA NA - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] NA - - attr(,"class") - [1] "fpstruct" - - $margin.bottom - $data - COL0 COL1 COL2 - [1,] 0 0 0 - [2,] 0 0 0 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $margin.top - $data - COL0 COL1 COL2 - [1,] 0 0 0 - [2,] 0 0 0 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $margin.left - $data - COL0 COL1 COL2 - [1,] 0 0 0 - [2,] 0 0 0 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $margin.right - $data - COL0 COL1 COL2 - [1,] 0 0 0 - [2,] 0 0 0 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.width.bottom - $data - COL0 COL1 COL2 - [1,] 0.875 0.875 0.875 - [2,] 0.875 0.875 0.875 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.width.top - $data - COL0 COL1 COL2 - [1,] 0.875 0.875 0.875 - [2,] 0.875 0.875 0.875 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.width.left - $data - COL0 COL1 COL2 - [1,] 0 0 0 - [2,] 0 0 0 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.width.right - $data - COL0 COL1 COL2 - [1,] 0 0 0 - [2,] 0 0 0 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.color.bottom - $data - COL0 COL1 COL2 - [1,] "black" "black" "black" - [2,] "black" "black" "black" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] "transparent" - - attr(,"class") - [1] "fpstruct" - - $border.color.top - $data - COL0 COL1 COL2 - [1,] "black" "black" "black" - [2,] "black" "black" "black" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] "transparent" - - attr(,"class") - [1] "fpstruct" - - $border.color.left - $data - COL0 COL1 COL2 - [1,] "black" "black" "black" - [2,] "black" "black" "black" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] "transparent" - - attr(,"class") - [1] "fpstruct" - - $border.color.right - $data - COL0 COL1 COL2 - [1,] "black" "black" "black" - [2,] "black" "black" "black" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] "transparent" - - attr(,"class") - [1] "fpstruct" - - $border.style.bottom - $data - COL0 COL1 COL2 - [1,] "solid" "solid" "solid" - [2,] "solid" "solid" "solid" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] "solid" - - attr(,"class") - [1] "fpstruct" - - $border.style.top - $data - COL0 COL1 COL2 - [1,] "solid" "solid" "solid" - [2,] "solid" "solid" "solid" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] "solid" - - attr(,"class") - [1] "fpstruct" - - $border.style.left - $data - COL0 COL1 COL2 - [1,] "solid" "solid" "solid" - [2,] "solid" "solid" "solid" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] "solid" - - attr(,"class") - [1] "fpstruct" - - $border.style.right - $data - COL0 COL1 COL2 - [1,] "solid" "solid" "solid" - [2,] "solid" "solid" "solid" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] "solid" - - attr(,"class") - [1] "fpstruct" - - $text.direction - $data - COL0 COL1 COL2 - [1,] "lrtb" "lrtb" "lrtb" - [2,] "lrtb" "lrtb" "lrtb" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] "lrtb" - - attr(,"class") - [1] "fpstruct" - - $background.color - $data - COL0 COL1 COL2 - [1,] "white" "white" "white" - [2,] "transparent" "transparent" "transparent" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] "transparent" - - attr(,"class") - [1] "fpstruct" - - $hrule - $data - COL0 COL1 COL2 - [1,] "auto" "auto" "auto" - [2,] "auto" "auto" "auto" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] "auto" - - attr(,"class") - [1] "fpstruct" - - attr(,"class") - [1] "cell_struct" - - $styles$pars - $text.align - $data - COL0 COL1 COL2 - [1,] "left" "left" "left" - [2,] "left" "center" "center" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] "left" - - attr(,"class") - [1] "fpstruct" - - $padding.bottom - $data - COL0 COL1 COL2 - [1,] 0 0 0 - [2,] 0 0 0 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] 5 - - attr(,"class") - [1] "fpstruct" - - $padding.top - $data - COL0 COL1 COL2 - [1,] 0 0 0 - [2,] 0 0 0 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] 5 - - attr(,"class") - [1] "fpstruct" - - $padding.left - $data - COL0 COL1 COL2 - [1,] 0 0 0 - [2,] 0 0 0 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] 5 - - attr(,"class") - [1] "fpstruct" - - $padding.right - $data - COL0 COL1 COL2 - [1,] 0 0 0 - [2,] 0 0 0 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] 5 - - attr(,"class") - [1] "fpstruct" - - $line_spacing - $data - COL0 COL1 COL2 - [1,] 1 1 1 - [2,] 1 1 1 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] 1 - - attr(,"class") - [1] "fpstruct" - - $border.width.bottom - $data - COL0 COL1 COL2 - [1,] 0 0 0 - [2,] 0 0 0 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.width.top - $data - COL0 COL1 COL2 - [1,] 0 0 0 - [2,] 0 0 0 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.width.left - $data - COL0 COL1 COL2 - [1,] 0 0 0 - [2,] 0 0 0 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.width.right - $data - COL0 COL1 COL2 - [1,] 0 0 0 - [2,] 0 0 0 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.color.bottom - $data - COL0 COL1 COL2 - [1,] "black" "black" "black" - [2,] "black" "black" "black" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] "black" - - attr(,"class") - [1] "fpstruct" - - $border.color.top - $data - COL0 COL1 COL2 - [1,] "black" "black" "black" - [2,] "black" "black" "black" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] "black" - - attr(,"class") - [1] "fpstruct" - - $border.color.left - $data - COL0 COL1 COL2 - [1,] "black" "black" "black" - [2,] "black" "black" "black" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] "black" - - attr(,"class") - [1] "fpstruct" - - $border.color.right - $data - COL0 COL1 COL2 - [1,] "black" "black" "black" - [2,] "black" "black" "black" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] "black" - - attr(,"class") - [1] "fpstruct" - - $border.style.bottom - $data - COL0 COL1 COL2 - [1,] "solid" "solid" "solid" - [2,] "solid" "solid" "solid" - - $keys - [1] "COL0" "COL1" "COL2" - 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[9,] "transparent" "transparent" "transparent" - [10,] "transparent" "transparent" "transparent" - [11,] "transparent" "transparent" "transparent" - [12,] "transparent" "transparent" "transparent" - [13,] "transparent" "transparent" "transparent" - [14,] "transparent" "transparent" "transparent" - [15,] "transparent" "transparent" "transparent" - [16,] "transparent" "transparent" "transparent" - [17,] "transparent" "transparent" "transparent" - [18,] "transparent" "transparent" "transparent" - [19,] "transparent" "transparent" "transparent" - [20,] "transparent" "transparent" "transparent" - [21,] "transparent" "transparent" "transparent" - [22,] "transparent" "transparent" "transparent" - [23,] "transparent" "transparent" "transparent" - [24,] "transparent" "transparent" "transparent" - [25,] "transparent" "transparent" "transparent" - [26,] "transparent" "transparent" "transparent" - [27,] "transparent" "transparent" "transparent" - [28,] "transparent" "transparent" "transparent" - [29,] "transparent" "transparent" "transparent" - [30,] "transparent" "transparent" "transparent" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 30 - - $ncol - [1] 3 - - $default - [1] "transparent" - - attr(,"class") - [1] "fpstruct" - - attr(,"class") - [1] "text_struct" - - - attr(,"class") - [1] "complex_tabpart" - ---- - - Code - res$footer - Output - $dataset - COL0 - 1 \n~{super a}Age in years\n~{super b}Xanomeline with dose ≥ 20mg\nThis ~{optional text should} stay the same - COL1 - 1 \n~{super a}Age in years\n~{super b}Xanomeline with dose ≥ 20mg\nThis ~{optional text should} stay the same - COL2 - 1 \n~{super a}Age in years\n~{super b}Xanomeline with dose ≥ 20mg\nThis ~{optional text should} stay the same - - $content - $data - COL0 COL1 COL2 - [1,] data.frame,21 data.frame,21 data.frame,21 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [[1]] - txt font.size italic bold underlined strike color shading.color font.family - 1 NA NA NA NA NA - hansi.family eastasia.family cs.family vertical.align width height url - 1 NA NA - eq_data word_field_data qmd_data img_data .chunk_index - 1 NULL 1 - - attr(,"class") - [1] "paragraph" - - attr(,"class") - [1] "chunkset_struct" - - $col_keys - [1] "COL0" "COL1" "COL2" - - $colwidths - COL0 COL1 COL2 - 1.197778 3.647778 3.974444 - - $rowheights - [1] 0.25 - - $hrule - [1] "auto" - - $spans - $spans$rows - [,1] [,2] [,3] - [1,] 3 0 0 - - $spans$columns - [,1] [,2] [,3] - [1,] 1 1 1 - - - $styles - $styles$cells - $vertical.align - $data - COL0 COL1 COL2 - [1,] "bottom" "center" "center" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] "center" - - attr(,"class") - [1] "fpstruct" - - $width - $data - COL0 COL1 COL2 - [1,] NA NA NA - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] NA - - attr(,"class") - [1] "fpstruct" - - $height - $data - COL0 COL1 COL2 - [1,] NA NA NA - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] NA - - attr(,"class") - [1] "fpstruct" - - $margin.bottom - $data - COL0 COL1 COL2 - [1,] 0 0 0 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $margin.top - $data - COL0 COL1 COL2 - [1,] 0 0 0 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $margin.left - $data - COL0 COL1 COL2 - [1,] 0 0 0 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $margin.right - $data - COL0 COL1 COL2 - [1,] 0 0 0 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.width.bottom - $data - COL0 COL1 COL2 - [1,] 0.875 0.875 0.875 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.width.top - $data - COL0 COL1 COL2 - [1,] 0 0 0 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.width.left - $data - COL0 COL1 COL2 - [1,] 0 0 0 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.width.right - $data - COL0 COL1 COL2 - [1,] 0 0 0 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.color.bottom - $data - COL0 COL1 COL2 - [1,] "black" "black" "black" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] "transparent" - - attr(,"class") - [1] "fpstruct" - - $border.color.top - $data - COL0 COL1 COL2 - [1,] "transparent" "transparent" "transparent" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] "transparent" - - attr(,"class") - [1] "fpstruct" - - $border.color.left - $data - COL0 COL1 COL2 - [1,] "transparent" "transparent" "transparent" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] "transparent" - - attr(,"class") - [1] "fpstruct" - - $border.color.right - $data - COL0 COL1 COL2 - [1,] "transparent" "transparent" "transparent" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] "transparent" - - attr(,"class") - [1] "fpstruct" - - $border.style.bottom - $data - COL0 COL1 COL2 - [1,] "solid" "solid" "solid" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] "solid" - - attr(,"class") - [1] "fpstruct" - - $border.style.top - $data - COL0 COL1 COL2 - [1,] "solid" "solid" "solid" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] "solid" - - attr(,"class") - [1] "fpstruct" - - $border.style.left - $data - COL0 COL1 COL2 - [1,] "solid" "solid" "solid" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] "solid" - - attr(,"class") - [1] "fpstruct" - - $border.style.right - $data - COL0 COL1 COL2 - [1,] "solid" "solid" "solid" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] "solid" - - attr(,"class") - [1] "fpstruct" - - $text.direction - $data - COL0 COL1 COL2 - [1,] "lrtb" "lrtb" "lrtb" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] "lrtb" - - attr(,"class") - [1] "fpstruct" - - $background.color - $data - COL0 COL1 COL2 - [1,] "transparent" "transparent" "transparent" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] "transparent" - - attr(,"class") - [1] "fpstruct" - - $hrule - $data - COL0 COL1 COL2 - [1,] "auto" "auto" "auto" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] "auto" - - attr(,"class") - [1] "fpstruct" - - attr(,"class") - [1] "cell_struct" - - $styles$pars - $text.align - $data - COL0 COL1 COL2 - [1,] "left" "left" "left" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] "left" - - attr(,"class") - [1] "fpstruct" - - $padding.bottom - $data - COL0 COL1 COL2 - [1,] 0 0 0 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] 5 - - attr(,"class") - [1] "fpstruct" - - $padding.top - $data - COL0 COL1 COL2 - [1,] 0 0 0 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] 5 - - attr(,"class") - [1] "fpstruct" - - $padding.left - $data - COL0 COL1 COL2 - [1,] 0 0 0 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] 5 - - attr(,"class") - [1] "fpstruct" - - $padding.right - $data - COL0 COL1 COL2 - [1,] 0 0 0 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] 5 - - attr(,"class") - [1] "fpstruct" - - $line_spacing - $data - COL0 COL1 COL2 - [1,] 1 1 1 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] 1 - - attr(,"class") - [1] "fpstruct" - - $border.width.bottom - $data - COL0 COL1 COL2 - [1,] 0 0 0 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.width.top - $data - COL0 COL1 COL2 - [1,] 0 0 0 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.width.left - $data - COL0 COL1 COL2 - [1,] 0 0 0 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.width.right - $data - COL0 COL1 COL2 - [1,] 0 0 0 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.color.bottom - $data - COL0 COL1 COL2 - [1,] "black" "black" "black" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] "black" - - attr(,"class") - [1] "fpstruct" - - $border.color.top - $data - COL0 COL1 COL2 - [1,] "black" "black" "black" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] "black" - - attr(,"class") - [1] "fpstruct" - - $border.color.left - $data - COL0 COL1 COL2 - [1,] "black" "black" "black" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] "black" - - attr(,"class") - [1] "fpstruct" - - $border.color.right - $data - COL0 COL1 COL2 - [1,] "black" "black" "black" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] "black" - - attr(,"class") - [1] "fpstruct" - - $border.style.bottom - $data - COL0 COL1 COL2 - [1,] "solid" "solid" "solid" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] "solid" - - attr(,"class") - [1] "fpstruct" - - $border.style.top - $data - COL0 COL1 COL2 - [1,] "solid" "solid" "solid" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] "solid" - - attr(,"class") - [1] "fpstruct" - - $border.style.left - $data - COL0 COL1 COL2 - [1,] "solid" "solid" "solid" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] "solid" - - attr(,"class") - [1] "fpstruct" - - $border.style.right - $data - COL0 COL1 COL2 - [1,] "solid" "solid" "solid" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] "solid" - - attr(,"class") - [1] "fpstruct" - - $shading.color - $data - COL0 COL1 COL2 - [1,] "transparent" "transparent" "transparent" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] "transparent" - - attr(,"class") - [1] "fpstruct" - - $keep_with_next - $data - COL0 COL1 COL2 - [1,] FALSE FALSE FALSE - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] FALSE - - attr(,"class") - [1] "fpstruct" - - $word_style - $data - COL0 COL1 COL2 - [1,] "Normal" "Normal" "Normal" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] "Normal" - - attr(,"class") - [1] "fpstruct" - - $tabs - $data - COL0 COL1 COL2 - [1,] NA NA NA - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] NA - - attr(,"class") - [1] "fpstruct" - - attr(,"class") - [1] "par_struct" - - $styles$text - $color - $data - COL0 COL1 COL2 - [1,] "black" "black" "black" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] "black" - - attr(,"class") - [1] "fpstruct" - - $font.size - $data - COL0 COL1 COL2 - [1,] 8 8 8 - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] 11 - - attr(,"class") - [1] "fpstruct" - - $bold - $data - COL0 COL1 COL2 - [1,] FALSE FALSE FALSE - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] FALSE - - attr(,"class") - [1] "fpstruct" - - $italic - $data - COL0 COL1 COL2 - [1,] FALSE FALSE FALSE - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] FALSE - - attr(,"class") - [1] "fpstruct" - - $underlined - $data - COL0 COL1 COL2 - [1,] FALSE FALSE FALSE - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] FALSE - - attr(,"class") - [1] "fpstruct" - - $strike - $data - COL0 COL1 COL2 - [1,] FALSE FALSE FALSE - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] FALSE - - attr(,"class") - [1] "fpstruct" - - $font.family - $data - COL0 COL1 COL2 - [1,] "Times New Roman" "Times New Roman" "Times New Roman" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] "Arial" - - attr(,"class") - [1] "fpstruct" - - $hansi.family - $data - COL0 COL1 COL2 - [1,] "Times New Roman" "Times New Roman" "Times New Roman" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] "Arial" - - attr(,"class") - [1] "fpstruct" - - $eastasia.family - $data - COL0 COL1 COL2 - [1,] "Times New Roman" "Times New Roman" "Times New Roman" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] "Arial" - - attr(,"class") - [1] "fpstruct" - - $cs.family - $data - COL0 COL1 COL2 - [1,] "Times New Roman" "Times New Roman" "Times New Roman" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] "Arial" - - attr(,"class") - [1] "fpstruct" - - $vertical.align - $data - COL0 COL1 COL2 - [1,] "baseline" "baseline" "baseline" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] "baseline" - - attr(,"class") - [1] "fpstruct" - - $shading.color - $data - COL0 COL1 COL2 - [1,] "transparent" "transparent" "transparent" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 1 - - $ncol - [1] 3 - - $default - [1] "transparent" - - attr(,"class") - [1] "fpstruct" - - attr(,"class") - [1] "text_struct" - - - attr(,"class") - [1] "complex_tabpart" - ---- - - Code - res$col_keys - Output - [1] "COL0" "COL1" "COL2" - ---- - - Code - res$caption - Output - $value - NULL - - ---- - - Code - res$blanks - Output - character(0) - ---- - - Code - res$properties - Output - $layout - [1] "fixed" - - $width - [1] 0 - - $align - [1] "left" - - $opts_html - $extra_css - [1] "" - - $scroll - NULL - - $extra_class - NULL - - attr(,"class") - [1] "opts_ft_html" - - $opts_word - $split - [1] TRUE - - $keep_with_next - [1] TRUE - - $repeat_headers - [1] TRUE - - attr(,"class") - [1] "opts_ft_word" - - $opts_pdf - $tabcolsep - [1] 2 - - $arraystretch - [1] 1.5 - - $float - [1] "none" - - $default_line_color - [1] "black" - - $caption_repeat - [1] TRUE - - $footer_repeat - [1] FALSE - - $fonts_ignore - [1] FALSE - - attr(,"class") - [1] "opts_ft_pdf" - - $word_title - NULL - - $word_description - NULL - - ---- - - Code - officer::docx_summary(x = doc, detailed = detailed) - Output - doc_index content_type run_index run_content_index - 1 1 table cell 1 1 - 2 1 table cell 2 1 - 3 1 table cell 3 1 - 4 2 table cell 1 1 - 5 3 table cell 1 1 - 6 4 table cell 1 1 - 7 4 table cell 2 1 - 8 4 table cell 3 1 - 9 5 table cell 1 1 - 10 5 table cell 2 1 - 11 6 table cell 1 1 - 12 7 table cell 1 1 - 13 8 table cell 1 1 - 14 9 table cell 1 1 - 15 10 table cell 1 1 - 16 11 table cell 1 1 - 17 12 table cell 1 1 - 18 13 table cell 1 1 - 19 14 table cell 1 1 - 20 15 table cell 1 1 - 21 16 table cell 1 1 - 22 17 table cell 1 1 - 23 18 table cell 1 1 - 24 19 table cell 1 1 - 25 20 table cell 1 1 - 26 21 table cell 1 1 - 27 22 table cell 1 1 - 28 23 table cell 1 1 - 29 24 table cell 1 1 - 30 25 table cell 1 1 - 31 26 table cell 1 1 - 32 27 table cell 1 1 - 33 28 table cell 1 1 - 34 29 table cell 1 1 - 35 30 table cell 1 1 - 36 31 table cell 1 1 - 37 32 table cell 1 1 - 38 33 table cell 1 1 - 39 34 table cell 1 1 - 40 35 table cell 1 1 - 41 36 table cell 1 1 - 42 37 table cell 1 1 - 43 38 table cell 1 1 - 44 39 table cell 1 1 - 45 40 table cell 1 1 - 46 41 table cell 1 1 - 47 42 table cell 1 1 - 48 43 table cell 1 1 - 49 44 table cell 1 1 - 50 45 table cell 1 1 - 51 46 table cell 1 1 - 52 47 table cell 1 1 - 53 48 table cell 1 1 - 54 49 table cell 1 1 - 55 50 table cell 1 1 - 56 51 table cell 1 1 - 57 52 table cell 1 1 - 58 53 table cell 1 1 - 59 54 table cell 1 1 - 60 55 table cell 1 1 - 61 56 table cell 1 1 - 62 57 table cell 1 1 - 63 58 table cell 1 1 - 64 59 table cell 1 1 - 65 60 table cell 1 1 - 66 61 table cell 1 1 - 67 62 table cell 1 1 - 68 63 table cell 1 1 - 69 64 table cell 1 1 - 70 65 table cell 1 1 - 71 66 table cell 1 1 - 72 67 table cell 1 1 - 73 68 table cell 1 1 - 74 69 table cell 1 1 - 75 70 table cell 1 1 - 76 71 table cell 1 1 - 77 72 table cell 1 1 - 78 73 table cell 1 1 - 79 74 table cell 1 1 - 80 75 table cell 1 1 - 81 76 table cell 1 1 - 82 77 table cell 1 1 - 83 78 table cell 1 1 - 84 79 table cell 1 1 - 85 80 table cell 1 1 - 86 81 table cell 1 1 - 87 82 table cell 1 1 - 88 83 table cell 1 1 - 89 84 table cell 1 1 - 90 85 table cell 1 1 - 91 86 table cell 1 1 - 92 87 table cell 1 1 - 93 88 table cell 1 1 - 94 89 table cell 1 1 - 95 90 table cell 1 1 - 96 91 table cell 1 1 - 97 92 table cell 1 1 - 98 93 table cell 1 1 - 99 94 table cell 1 1 - 100 95 table cell 1 1 - 101 95 table cell 2 1 - 102 95 table cell 3 1 - 103 95 table cell 4 1 - 104 95 table cell 5 1 - 105 95 table cell 6 1 - 106 95 table cell 7 1 - 107 95 table cell 8 1 - 108 95 table cell 9 1 - 109 95 table cell 10 1 - run_content_text image_path field_code - 1 output ID: - 2 \t - 3 This is the main Title - 4 Treatment Group - 5 Subject ID - 6 Age - 7 a - 8 / Sex / Race - 9 A: Drug X - 10 b - 11 AB12345-BRA-1-id-134 - 12 47 / M / WHITE - 13 - 14 AB12345-BRA-1-id-42 - 15 36 / M / BLACK OR AFRICAN AMERICAN - 16 - 17 AB12345-BRA-1-id-93 - 18 34 / F / ASIAN - 19 - 20 AB12345-BRA-11-id-345 - 21 37 / F / WHITE - 22 - 23 AB12345-BRA-11-id-397 - 24 38 / M / ASIAN - 25 - 26 AB12345-BRA-11-id-50 - 27 26 / M / BLACK OR AFRICAN AMERICAN - 28 - 29 AB12345-BRA-13-id-177 - 30 24 / M / WHITE - 31 - 32 AB12345-BRA-14-id-23 - 33 37 / M / ASIAN - 34 - 35 AB12345-BRA-15-id-36 - 36 38 / F / ASIAN - 37 - 38 AB12345-BRA-2-id-296 - 39 44 / F / ASIAN - 40 B: Placebo - 41 AB12345-BRA-1-id-236 - 42 32 / M / BLACK OR AFRICAN AMERICAN - 43 - 44 AB12345-BRA-1-id-65 - 45 25 / F / BLACK OR AFRICAN AMERICAN - 46 - 47 AB12345-BRA-12-id-59 - 48 36 / M / BLACK OR AFRICAN AMERICAN - 49 - 50 AB12345-BRA-2-id-101 - 51 34 / M / ASIAN - 52 - 53 AB12345-BRA-3-id-8 - 54 25 / F / BLACK OR AFRICAN AMERICAN - 55 - 56 AB12345-BRA-4-id-383 - 57 30 / F / ASIAN - 58 - 59 AB12345-CAN-1-id-341 - 60 43 / F / ASIAN - 61 - 62 AB12345-CAN-4-id-331 - 63 34 / F / AMERICAN INDIAN OR ALASKA NATIVE - 64 - 65 AB12345-CHN-1-id-107 - 66 41 / M / BLACK OR AFRICAN AMERICAN - 67 - 68 AB12345-CHN-1-id-12 - 69 42 / F / BLACK OR AFRICAN AMERICAN - 70 C: Combination - 71 AB12345-BRA-1-id-141 - 72 35 / F / WHITE - 73 - 74 AB12345-BRA-1-id-265 - 75 25 / M / WHITE - 76 - 77 AB12345-BRA-11-id-237 - 78 64 / F / ASIAN - 79 - 80 AB12345-BRA-11-id-321 - 81 33 / F / ASIAN - 82 - 83 AB12345-BRA-11-id-9 - 84 40 / M / ASIAN - 85 - 86 AB12345-BRA-14-id-120 - 87 33 / F / ASIAN - 88 - 89 AB12345-BRA-4-id-368 - 90 46 / M / BLACK OR AFRICAN AMERICAN - 91 - 92 AB12345-BRA-5-id-234 - 93 32 / M / WHITE - 94 - 95 AB12345-BRA-7-id-301 - 96 35 / M / ASIAN - 97 - 98 AB12345-CAN-11-id-306 - 99 37 / F / ASIAN - 100 \n - 101 a - 102 Age in years - 103 \n - 104 b - 105 Xanomeline with dose ≥ 20mg - 106 \n - 107 This - 108 text should - 109 stay the same - footnote_text link link_to_bookmark bookmark_start character_stylename sz - 1 20 - 2 20 - 3 20 - 4 16 - 5 16 - 6 16 - 7 16 - 8 16 - 9 16 - 10 16 - 11 16 - 12 16 - 13 16 - 14 16 - 15 16 - 16 16 - 17 16 - 18 16 - 19 16 - 20 16 - 21 16 - 22 16 - 23 16 - 24 16 - 25 16 - 26 16 - 27 16 - 28 16 - 29 16 - 30 16 - 31 16 - 32 16 - 33 16 - 34 16 - 35 16 - 36 16 - 37 16 - 38 16 - 39 16 - 40 16 - 41 16 - 42 16 - 43 16 - 44 16 - 45 16 - 46 16 - 47 16 - 48 16 - 49 16 - 50 16 - 51 16 - 52 16 - 53 16 - 54 16 - 55 16 - 56 16 - 57 16 - 58 16 - 59 16 - 60 16 - 61 16 - 62 16 - 63 16 - 64 16 - 65 16 - 66 16 - 67 16 - 68 16 - 69 16 - 70 16 - 71 16 - 72 16 - 73 16 - 74 16 - 75 16 - 76 16 - 77 16 - 78 16 - 79 16 - 80 16 - 81 16 - 82 16 - 83 16 - 84 16 - 85 16 - 86 16 - 87 16 - 88 16 - 89 16 - 90 16 - 91 16 - 92 16 - 93 16 - 94 16 - 95 16 - 96 16 - 97 16 - 98 16 - 99 16 - 100 16 - 101 16 - 102 16 - 103 16 - 104 16 - 105 16 - 106 16 - 107 16 - 108 16 - 109 16 - sz_cs font_family_ascii font_family_eastasia font_family_hansi - 1 20 Times New Roman Times New Roman Times New Roman - 2 20 Times New Roman Times New Roman Times New Roman - 3 20 Times New Roman Times New Roman Times New Roman - 4 16 Times New Roman Times New Roman Times New Roman - 5 16 Times New Roman Times New Roman Times New Roman - 6 16 Times New Roman Times New Roman Times New Roman - 7 16 Times New Roman Times New Roman Times New Roman - 8 16 Times New Roman Times New Roman Times New Roman - 9 16 Times New Roman Times New Roman Times New Roman - 10 16 Times New Roman Times New Roman Times New Roman - 11 16 Times New Roman Times New Roman Times New Roman - 12 16 Times New Roman Times New Roman Times New Roman - 13 16 Times New Roman Times New Roman Times New Roman - 14 16 Times New Roman Times New Roman Times New Roman - 15 16 Times New Roman Times New Roman Times New Roman - 16 16 Times New Roman Times New Roman Times New Roman - 17 16 Times New Roman Times New Roman Times New Roman - 18 16 Times New Roman Times New Roman Times New Roman - 19 16 Times New Roman Times New Roman Times New Roman - 20 16 Times New Roman Times New Roman Times New Roman - 21 16 Times New Roman Times New Roman Times New Roman - 22 16 Times New Roman Times New Roman Times New Roman - 23 16 Times New Roman Times New Roman Times New Roman - 24 16 Times New Roman Times New Roman Times New Roman - 25 16 Times New Roman Times New Roman Times New Roman - 26 16 Times New Roman Times New Roman Times New Roman - 27 16 Times New Roman Times New Roman Times New Roman - 28 16 Times New Roman Times New Roman Times New Roman - 29 16 Times New Roman Times New Roman Times New Roman - 30 16 Times New Roman Times New Roman Times New Roman - 31 16 Times New Roman Times New Roman Times New Roman - 32 16 Times New Roman Times New Roman Times New Roman - 33 16 Times New Roman Times New Roman Times New Roman - 34 16 Times New Roman Times New Roman Times New Roman - 35 16 Times New Roman Times New Roman Times New Roman - 36 16 Times New Roman Times New Roman Times New Roman - 37 16 Times New Roman Times New Roman Times New Roman - 38 16 Times New Roman Times New Roman Times New Roman - 39 16 Times New Roman Times New Roman Times New Roman - 40 16 Times New Roman Times New Roman Times New Roman - 41 16 Times New Roman Times New Roman Times New Roman - 42 16 Times New Roman Times New Roman Times New Roman - 43 16 Times New Roman Times New Roman Times New Roman - 44 16 Times New Roman Times New Roman Times New Roman - 45 16 Times New Roman Times New Roman Times New Roman - 46 16 Times New Roman Times New Roman Times New Roman - 47 16 Times New Roman Times New Roman Times New Roman - 48 16 Times New Roman Times New Roman Times New Roman - 49 16 Times New Roman Times New Roman Times New Roman - 50 16 Times New Roman Times New Roman Times New Roman - 51 16 Times New Roman Times New Roman Times New Roman - 52 16 Times New Roman Times New Roman Times New Roman - 53 16 Times New Roman Times New Roman Times New Roman - 54 16 Times New Roman Times New Roman Times New Roman - 55 16 Times New Roman Times New Roman Times New Roman - 56 16 Times New Roman Times New Roman Times New Roman - 57 16 Times New Roman Times New Roman Times New Roman - 58 16 Times New Roman Times New Roman Times New Roman - 59 16 Times New Roman Times New Roman Times New Roman - 60 16 Times New Roman Times New Roman Times New Roman - 61 16 Times New Roman Times New Roman Times New Roman - 62 16 Times New Roman Times New Roman Times New Roman - 63 16 Times New Roman Times New Roman Times New Roman - 64 16 Times New Roman Times New Roman Times New Roman - 65 16 Times New Roman Times New Roman Times New Roman - 66 16 Times New Roman Times New Roman Times New Roman - 67 16 Times New Roman Times New Roman Times New Roman - 68 16 Times New Roman Times New Roman Times New Roman - 69 16 Times New Roman Times New Roman Times New Roman - 70 16 Times New Roman Times New Roman Times New Roman - 71 16 Times New Roman Times New Roman Times New Roman - 72 16 Times New Roman Times New Roman Times New Roman - 73 16 Times New Roman Times New Roman Times New Roman - 74 16 Times New Roman Times New Roman Times New Roman - 75 16 Times New Roman Times New Roman Times New Roman - 76 16 Times New Roman Times New Roman Times New Roman - 77 16 Times New Roman Times New Roman Times New Roman - 78 16 Times New Roman Times New Roman Times New Roman - 79 16 Times New Roman Times New Roman Times New Roman - 80 16 Times New Roman Times New Roman Times New Roman - 81 16 Times New Roman Times New Roman Times New Roman - 82 16 Times New Roman Times New Roman Times New Roman - 83 16 Times New Roman Times New Roman Times New Roman - 84 16 Times New Roman Times New Roman Times New Roman - 85 16 Times New Roman Times New Roman Times New Roman - 86 16 Times New Roman Times New Roman Times New Roman - 87 16 Times New Roman Times New Roman Times New Roman - 88 16 Times New Roman Times New Roman Times New Roman - 89 16 Times New Roman Times New Roman Times New Roman - 90 16 Times New Roman Times New Roman Times New Roman - 91 16 Times New Roman Times New Roman Times New Roman - 92 16 Times New Roman Times New Roman Times New Roman - 93 16 Times New Roman Times New Roman Times New Roman - 94 16 Times New Roman Times New Roman Times New Roman - 95 16 Times New Roman Times New Roman Times New Roman - 96 16 Times New Roman Times New Roman Times New Roman - 97 16 Times New Roman Times New Roman Times New Roman - 98 16 Times New Roman Times New Roman Times New Roman - 99 16 Times New Roman Times New Roman Times New Roman - 100 16 Times New Roman Times New Roman Times New Roman - 101 16 Times New Roman Times New Roman Times New Roman - 102 16 Times New Roman Times New Roman Times New Roman - 103 16 Times New Roman Times New Roman Times New Roman - 104 16 Times New Roman Times New Roman Times New Roman - 105 16 Times New Roman Times New Roman Times New Roman - 106 16 Times New Roman Times New Roman Times New Roman - 107 16 Times New Roman Times New Roman Times New Roman - 108 16 Times New Roman Times New Roman Times New Roman - 109 16 Times New Roman Times New Roman Times New Roman - font_family_cs bold italic underline color shading shading_color - 1 Times New Roman TRUE FALSE FALSE #000000 - 2 Times New Roman TRUE FALSE FALSE #000000 - 3 Times New Roman TRUE FALSE FALSE #000000 - 4 Times New Roman FALSE FALSE FALSE #000000 - 5 Times New Roman FALSE FALSE FALSE #000000 - 6 Times New Roman FALSE FALSE FALSE #000000 - 7 Times New Roman FALSE FALSE FALSE #000000 - 8 Times New Roman FALSE FALSE FALSE #000000 - 9 Times New Roman FALSE FALSE FALSE #000000 - 10 Times New Roman FALSE FALSE FALSE #000000 - 11 Times New Roman FALSE FALSE FALSE #000000 - 12 Times New Roman FALSE FALSE FALSE #000000 - 13 Times New Roman FALSE FALSE FALSE #000000 - 14 Times New Roman FALSE FALSE FALSE #000000 - 15 Times New Roman FALSE FALSE FALSE #000000 - 16 Times New Roman FALSE FALSE FALSE #000000 - 17 Times New Roman FALSE FALSE FALSE #000000 - 18 Times New Roman FALSE FALSE FALSE #000000 - 19 Times New Roman FALSE FALSE FALSE #000000 - 20 Times New Roman FALSE FALSE FALSE #000000 - 21 Times New Roman FALSE FALSE FALSE #000000 - 22 Times New Roman FALSE FALSE FALSE #000000 - 23 Times New Roman FALSE FALSE FALSE #000000 - 24 Times New Roman FALSE FALSE FALSE #000000 - 25 Times New Roman FALSE FALSE FALSE #000000 - 26 Times New Roman FALSE FALSE FALSE #000000 - 27 Times New Roman FALSE FALSE FALSE #000000 - 28 Times New Roman FALSE FALSE FALSE #000000 - 29 Times New Roman FALSE FALSE FALSE #000000 - 30 Times New Roman FALSE FALSE FALSE #000000 - 31 Times New Roman FALSE FALSE FALSE #000000 - 32 Times New Roman FALSE FALSE FALSE #000000 - 33 Times New Roman FALSE FALSE FALSE #000000 - 34 Times New Roman FALSE FALSE FALSE #000000 - 35 Times New Roman FALSE FALSE FALSE #000000 - 36 Times New Roman FALSE FALSE FALSE #000000 - 37 Times New Roman FALSE FALSE FALSE #000000 - 38 Times New Roman FALSE FALSE FALSE #000000 - 39 Times New Roman FALSE FALSE FALSE #000000 - 40 Times New Roman FALSE FALSE FALSE #000000 - 41 Times New Roman FALSE FALSE FALSE #000000 - 42 Times New Roman FALSE FALSE FALSE #000000 - 43 Times New Roman FALSE FALSE FALSE #000000 - 44 Times New Roman FALSE FALSE FALSE #000000 - 45 Times New Roman FALSE FALSE FALSE #000000 - 46 Times New Roman FALSE FALSE FALSE #000000 - 47 Times New Roman FALSE FALSE FALSE #000000 - 48 Times New Roman FALSE FALSE FALSE #000000 - 49 Times New Roman FALSE FALSE FALSE #000000 - 50 Times New Roman FALSE FALSE FALSE #000000 - 51 Times New Roman FALSE FALSE FALSE #000000 - 52 Times New Roman FALSE FALSE FALSE #000000 - 53 Times New Roman FALSE FALSE FALSE #000000 - 54 Times New Roman FALSE FALSE FALSE #000000 - 55 Times New Roman FALSE FALSE FALSE #000000 - 56 Times New Roman FALSE FALSE FALSE #000000 - 57 Times New Roman FALSE FALSE FALSE #000000 - 58 Times New Roman FALSE FALSE FALSE #000000 - 59 Times New Roman FALSE FALSE FALSE #000000 - 60 Times New Roman FALSE FALSE FALSE #000000 - 61 Times New Roman FALSE FALSE FALSE #000000 - 62 Times New Roman FALSE FALSE FALSE #000000 - 63 Times New Roman FALSE FALSE FALSE #000000 - 64 Times New Roman FALSE FALSE FALSE #000000 - 65 Times New Roman FALSE FALSE FALSE #000000 - 66 Times New Roman FALSE FALSE FALSE #000000 - 67 Times New Roman FALSE FALSE FALSE #000000 - 68 Times New Roman FALSE FALSE FALSE #000000 - 69 Times New Roman FALSE FALSE FALSE #000000 - 70 Times New Roman FALSE FALSE FALSE #000000 - 71 Times New Roman FALSE FALSE FALSE #000000 - 72 Times New Roman FALSE FALSE FALSE #000000 - 73 Times New Roman FALSE FALSE FALSE #000000 - 74 Times New Roman FALSE FALSE FALSE #000000 - 75 Times New Roman FALSE FALSE FALSE #000000 - 76 Times New Roman FALSE FALSE FALSE #000000 - 77 Times New Roman FALSE FALSE FALSE #000000 - 78 Times New Roman FALSE FALSE FALSE #000000 - 79 Times New Roman FALSE FALSE FALSE #000000 - 80 Times New Roman FALSE FALSE FALSE #000000 - 81 Times New Roman FALSE FALSE FALSE #000000 - 82 Times New Roman FALSE FALSE FALSE #000000 - 83 Times New Roman FALSE FALSE FALSE #000000 - 84 Times New Roman FALSE FALSE FALSE #000000 - 85 Times New Roman FALSE FALSE FALSE #000000 - 86 Times New Roman FALSE FALSE FALSE #000000 - 87 Times New Roman FALSE FALSE FALSE #000000 - 88 Times New Roman FALSE FALSE FALSE #000000 - 89 Times New Roman FALSE FALSE FALSE #000000 - 90 Times New Roman FALSE FALSE FALSE #000000 - 91 Times New Roman FALSE FALSE FALSE #000000 - 92 Times New Roman FALSE FALSE FALSE #000000 - 93 Times New Roman FALSE FALSE FALSE #000000 - 94 Times New Roman FALSE FALSE FALSE #000000 - 95 Times New Roman FALSE FALSE FALSE #000000 - 96 Times New Roman FALSE FALSE FALSE #000000 - 97 Times New Roman FALSE FALSE FALSE #000000 - 98 Times New Roman FALSE FALSE FALSE #000000 - 99 Times New Roman FALSE FALSE FALSE #000000 - 100 Times New Roman FALSE FALSE FALSE #000000 - 101 Times New Roman FALSE FALSE FALSE #000000 - 102 Times New Roman FALSE FALSE FALSE #000000 - 103 Times New Roman FALSE FALSE FALSE #000000 - 104 Times New Roman FALSE FALSE FALSE #000000 - 105 Times New Roman FALSE FALSE FALSE #000000 - 106 Times New Roman FALSE FALSE FALSE #000000 - 107 Times New Roman FALSE FALSE FALSE #000000 - 108 Times New Roman FALSE FALSE FALSE #000000 - 109 Times New Roman FALSE FALSE FALSE #000000 - shading_fill paragraph_stylename keep_with_next align level num_id - 1 FALSE left NA NA - 2 FALSE left NA NA - 3 FALSE left NA NA - 4 FALSE left NA NA - 5 FALSE center NA NA - 6 FALSE center NA NA - 7 FALSE center NA NA - 8 FALSE center NA NA - 9 FALSE left NA NA - 10 FALSE left NA NA - 11 FALSE center NA NA - 12 FALSE center NA NA - 13 FALSE left NA NA - 14 FALSE center NA NA - 15 FALSE center NA NA - 16 FALSE left NA NA - 17 FALSE center NA NA - 18 FALSE center NA NA - 19 FALSE left NA NA - 20 FALSE center NA NA - 21 FALSE center NA NA - 22 FALSE left NA NA - 23 FALSE center NA NA - 24 FALSE center NA NA - 25 FALSE left NA NA - 26 FALSE center NA NA - 27 FALSE center NA NA - 28 FALSE left NA NA - 29 FALSE center NA NA - 30 FALSE center NA NA - 31 FALSE left NA NA - 32 FALSE center NA NA - 33 FALSE center NA NA - 34 FALSE left NA NA - 35 FALSE center NA NA - 36 FALSE center NA NA - 37 FALSE left NA NA - 38 FALSE center NA NA - 39 FALSE center NA NA - 40 FALSE left NA NA - 41 FALSE center NA NA - 42 FALSE center NA NA - 43 FALSE left NA NA - 44 FALSE center NA NA - 45 FALSE center NA NA - 46 FALSE left NA NA - 47 FALSE center NA NA - 48 FALSE center NA NA - 49 FALSE left NA NA - 50 FALSE center NA NA - 51 FALSE center NA NA - 52 FALSE left NA NA - 53 FALSE center NA NA - 54 FALSE center NA NA - 55 FALSE left NA NA - 56 FALSE center NA NA - 57 FALSE center NA NA - 58 FALSE left NA NA - 59 FALSE center NA NA - 60 FALSE center NA NA - 61 FALSE left NA NA - 62 FALSE center NA NA - 63 FALSE center NA NA - 64 FALSE left NA NA - 65 FALSE center NA NA - 66 FALSE center NA NA - 67 FALSE left NA NA - 68 FALSE center NA NA - 69 FALSE center NA NA - 70 FALSE left NA NA - 71 FALSE center NA NA - 72 FALSE center NA NA - 73 FALSE left NA NA - 74 FALSE center NA NA - 75 FALSE center NA NA - 76 FALSE left NA NA - 77 FALSE center NA NA - 78 FALSE center NA NA - 79 FALSE left NA NA - 80 FALSE center NA NA - 81 FALSE center NA NA - 82 FALSE left NA NA - 83 FALSE center NA NA - 84 FALSE center NA NA - 85 FALSE left NA NA - 86 FALSE center NA NA - 87 FALSE center NA NA - 88 FALSE left NA NA - 89 FALSE center NA NA - 90 FALSE center NA NA - 91 FALSE left NA NA - 92 FALSE center NA NA - 93 FALSE center NA NA - 94 FALSE left NA NA - 95 FALSE center NA NA - 96 FALSE center NA NA - 97 FALSE left NA NA - 98 FALSE center NA NA - 99 FALSE center NA NA - 100 FALSE left NA NA - 101 FALSE left NA NA - 102 FALSE left NA NA - 103 FALSE left NA NA - 104 FALSE left NA NA - 105 FALSE left NA NA - 106 FALSE left NA NA - 107 FALSE left NA NA - 108 FALSE left NA NA - 109 FALSE left NA NA - table_index row_id cell_id col_span row_span is_header table_stylename - 1 1 1 1 3 1 TRUE - 2 1 1 1 3 1 TRUE - 3 1 1 1 3 1 TRUE - 4 1 2 1 1 1 TRUE - 5 1 2 2 1 1 TRUE - 6 1 2 3 1 1 TRUE - 7 1 2 3 1 1 TRUE - 8 1 2 3 1 1 TRUE - 9 1 3 1 1 1 FALSE - 10 1 3 1 1 1 FALSE - 11 1 3 2 1 1 FALSE - 12 1 3 3 1 1 FALSE - 13 1 4 1 1 1 FALSE - 14 1 4 2 1 1 FALSE - 15 1 4 3 1 1 FALSE - 16 1 5 1 1 1 FALSE - 17 1 5 2 1 1 FALSE - 18 1 5 3 1 1 FALSE - 19 1 6 1 1 1 FALSE - 20 1 6 2 1 1 FALSE - 21 1 6 3 1 1 FALSE - 22 1 7 1 1 1 FALSE - 23 1 7 2 1 1 FALSE - 24 1 7 3 1 1 FALSE - 25 1 8 1 1 1 FALSE - 26 1 8 2 1 1 FALSE - 27 1 8 3 1 1 FALSE - 28 1 9 1 1 1 FALSE - 29 1 9 2 1 1 FALSE - 30 1 9 3 1 1 FALSE - 31 1 10 1 1 1 FALSE - 32 1 10 2 1 1 FALSE - 33 1 10 3 1 1 FALSE - 34 1 11 1 1 1 FALSE - 35 1 11 2 1 1 FALSE - 36 1 11 3 1 1 FALSE - 37 1 12 1 1 1 FALSE - 38 1 12 2 1 1 FALSE - 39 1 12 3 1 1 FALSE - 40 1 13 1 1 1 FALSE - 41 1 13 2 1 1 FALSE - 42 1 13 3 1 1 FALSE - 43 1 14 1 1 1 FALSE - 44 1 14 2 1 1 FALSE - 45 1 14 3 1 1 FALSE - 46 1 15 1 1 1 FALSE - 47 1 15 2 1 1 FALSE - 48 1 15 3 1 1 FALSE - 49 1 16 1 1 1 FALSE - 50 1 16 2 1 1 FALSE - 51 1 16 3 1 1 FALSE - 52 1 17 1 1 1 FALSE - 53 1 17 2 1 1 FALSE - 54 1 17 3 1 1 FALSE - 55 1 18 1 1 1 FALSE - 56 1 18 2 1 1 FALSE - 57 1 18 3 1 1 FALSE - 58 1 19 1 1 1 FALSE - 59 1 19 2 1 1 FALSE - 60 1 19 3 1 1 FALSE - 61 1 20 1 1 1 FALSE - 62 1 20 2 1 1 FALSE - 63 1 20 3 1 1 FALSE - 64 1 21 1 1 1 FALSE - 65 1 21 2 1 1 FALSE - 66 1 21 3 1 1 FALSE - 67 1 22 1 1 1 FALSE - 68 1 22 2 1 1 FALSE - 69 1 22 3 1 1 FALSE - 70 1 23 1 1 1 FALSE - 71 1 23 2 1 1 FALSE - 72 1 23 3 1 1 FALSE - 73 1 24 1 1 1 FALSE - 74 1 24 2 1 1 FALSE - 75 1 24 3 1 1 FALSE - 76 1 25 1 1 1 FALSE - 77 1 25 2 1 1 FALSE - 78 1 25 3 1 1 FALSE - 79 1 26 1 1 1 FALSE - 80 1 26 2 1 1 FALSE - 81 1 26 3 1 1 FALSE - 82 1 27 1 1 1 FALSE - 83 1 27 2 1 1 FALSE - 84 1 27 3 1 1 FALSE - 85 1 28 1 1 1 FALSE - 86 1 28 2 1 1 FALSE - 87 1 28 3 1 1 FALSE - 88 1 29 1 1 1 FALSE - 89 1 29 2 1 1 FALSE - 90 1 29 3 1 1 FALSE - 91 1 30 1 1 1 FALSE - 92 1 30 2 1 1 FALSE - 93 1 30 3 1 1 FALSE - 94 1 31 1 1 1 FALSE - 95 1 31 2 1 1 FALSE - 96 1 31 3 1 1 FALSE - 97 1 32 1 1 1 FALSE - 98 1 32 2 1 1 FALSE - 99 1 32 3 1 1 FALSE - 100 1 33 1 3 1 FALSE - 101 1 33 1 3 1 FALSE - 102 1 33 1 3 1 FALSE - 103 1 33 1 3 1 FALSE - 104 1 33 1 3 1 FALSE - 105 1 33 1 3 1 FALSE - 106 1 33 1 3 1 FALSE - 107 1 33 1 3 1 FALSE - 108 1 33 1 3 1 FALSE - 109 1 33 1 3 1 FALSE - -# insert_title_as_header() adds the title correctly - - Code - res$header - Output - $dataset - V1 V2 - 1 output id:\tthis is a test title output id:\tthis is a test title - 2 V1 V2 - V3 V4 - 1 output id:\tthis is a test title output id:\tthis is a test title - 2 V3 V4 - - $content - $data - V1 V2 V3 V4 - [1,] data.frame,21 data.frame,21 data.frame,21 data.frame,21 - [2,] data.frame,21 data.frame,21 data.frame,21 data.frame,21 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [[1]] - txt font.size italic bold underlined strike color shading.color font.family - 1 NA NA NA NA NA - hansi.family eastasia.family cs.family vertical.align width height url - 1 NA NA - eq_data word_field_data qmd_data img_data .chunk_index - 1 NULL 1 - - attr(,"class") - [1] "paragraph" - - attr(,"class") - [1] "chunkset_struct" - - $col_keys - [1] "V1" "V2" "V3" "V4" - - $colwidths - V1 V2 V3 V4 - 1.974762 1.468413 1.468413 1.468413 - - $rowheights - [1] 0.4430556 0.4430556 - - $hrule - [1] "auto" "auto" - - $spans - $spans$rows - [,1] [,2] [,3] [,4] - [1,] 4 0 0 0 - [2,] 1 1 1 1 - - $spans$columns - [,1] [,2] [,3] [,4] - [1,] 1 1 1 1 - [2,] 1 1 1 1 - - - $styles - $styles$cells - $vertical.align - $data - V1 V2 V3 V4 - [1,] "bottom" "bottom" "bottom" "bottom" - [2,] "bottom" "bottom" "bottom" "bottom" - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] "center" - - attr(,"class") - [1] "fpstruct" - - $width - $data - V1 V2 V3 V4 - [1,] NA NA NA NA - [2,] NA NA NA NA - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] NA - - attr(,"class") - [1] "fpstruct" - - $height - $data - V1 V2 V3 V4 - [1,] NA NA NA NA - [2,] NA NA NA NA - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] NA - - attr(,"class") - [1] "fpstruct" - - $margin.bottom - $data - V1 V2 V3 V4 - [1,] 0 0 0 0 - [2,] 0 0 0 0 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $margin.top - $data - V1 V2 V3 V4 - [1,] 0 0 0 0 - [2,] 0 0 0 0 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $margin.left - $data - 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21 19 table cell 1 1 12/134 (9.0%) - 22 20 table cell 1 1 9/134 (6.7%) - 23 21 table cell 1 1 10/132 (7.6%) - 24 22 table cell 1 1 NGA - 25 23 table cell 1 1 8/134 (6.0%) - 26 24 table cell 1 1 7/134 (5.2%) - 27 25 table cell 1 1 11/132 (8.3%) - 28 26 table cell 1 1 RUS - 29 27 table cell 1 1 5/134 (3.7%) - 30 28 table cell 1 1 8/134 (6.0%) - 31 29 table cell 1 1 6/132 (4.5%) - 32 30 table cell 1 1 JPN - 33 31 table cell 1 1 5/134 (3.7%) - 34 32 table cell 1 1 4/134 (3.0%) - 35 33 table cell 1 1 9/132 (6.8%) - 36 34 table cell 1 1 GBR - 37 35 table cell 1 1 4/134 (3.0%) - 38 36 table cell 1 1 3/134 (2.2%) - 39 37 table cell 1 1 2/132 (1.5%) - 40 38 table cell 1 1 CAN - 41 39 table cell 1 1 3/134 (2.2%) - 42 40 table cell 1 1 2/134 (1.5%) - 43 41 table cell 1 1 3/132 (2.3%) - 44 42 table cell 1 1 CHE - 45 43 table cell 1 1 0/134 (0.0%) - 46 44 table cell 1 1 0/134 (0.0%) - 47 45 table cell 1 1 0/132 (0.0%) - image_path field_code footnote_text link link_to_bookmark bookmark_start - 1 - 2 - 3 - 4 - 5 - 6 - 7 - 8 - 9 - 10 - 11 - 12 - 13 - 14 - 15 - 16 - 17 - 18 - 19 - 20 - 21 - 22 - 23 - 24 - 25 - 26 - 27 - 28 - 29 - 30 - 31 - 32 - 33 - 34 - 35 - 36 - 37 - 38 - 39 - 40 - 41 - 42 - 43 - 44 - 45 - 46 - 47 - character_stylename sz sz_cs font_family_ascii font_family_eastasia - 1 20 20 Times New Roman Times New Roman - 2 20 20 Times New Roman Times New Roman - 3 20 20 Times New Roman Times New Roman - 4 18 18 Times New Roman Times New Roman - 5 18 18 Times New Roman Times New Roman - 6 18 18 Times New Roman Times New Roman - 7 18 18 Times New Roman Times New Roman - 8 18 18 Times New Roman Times New Roman - 9 18 18 Times New Roman Times New Roman - 10 18 18 Times New Roman Times New Roman - 11 18 18 Times New Roman Times New Roman - 12 18 18 Times New Roman Times New Roman - 13 18 18 Times New Roman Times New Roman - 14 18 18 Times New Roman Times New Roman - 15 18 18 Times New Roman Times New Roman - 16 18 18 Times New Roman Times New Roman - 17 18 18 Times New Roman Times New Roman - 18 18 18 Times New Roman Times New Roman - 19 18 18 Times New Roman Times New Roman - 20 18 18 Times New Roman Times New Roman - 21 18 18 Times New Roman Times New Roman - 22 18 18 Times New Roman Times New Roman - 23 18 18 Times New Roman Times New Roman - 24 18 18 Times New Roman Times New Roman - 25 18 18 Times New Roman Times New Roman - 26 18 18 Times New Roman Times New Roman - 27 18 18 Times New Roman Times New Roman - 28 18 18 Times New Roman Times New Roman - 29 18 18 Times New Roman Times New Roman - 30 18 18 Times New Roman Times New Roman - 31 18 18 Times New Roman Times New Roman - 32 18 18 Times New Roman Times New Roman - 33 18 18 Times New Roman Times New Roman - 34 18 18 Times New Roman Times New Roman - 35 18 18 Times New Roman Times New Roman - 36 18 18 Times New Roman Times New Roman - 37 18 18 Times New Roman Times New Roman - 38 18 18 Times New Roman Times New Roman - 39 18 18 Times New Roman Times New Roman - 40 18 18 Times New Roman Times New Roman - 41 18 18 Times New Roman Times New Roman - 42 18 18 Times New Roman Times New Roman - 43 18 18 Times New Roman Times New Roman - 44 18 18 Times New Roman Times New Roman - 45 18 18 Times New Roman Times New Roman - 46 18 18 Times New Roman Times New Roman - 47 18 18 Times New Roman Times New Roman - font_family_hansi font_family_cs bold italic underline color shading - 1 Times New Roman Times New Roman TRUE FALSE FALSE #000000 - 2 Times New Roman Times New Roman TRUE FALSE FALSE #000000 - 3 Times New Roman Times New Roman TRUE FALSE FALSE #000000 - 4 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 5 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 6 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 7 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 8 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 9 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 10 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 11 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 12 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 13 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 14 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 15 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 16 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 17 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 18 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 19 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 20 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 21 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 22 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 23 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 24 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 25 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 26 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 27 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 28 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 29 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 30 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 31 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 32 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 33 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 34 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 35 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 36 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 37 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 38 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 39 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 40 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 41 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 42 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 43 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 44 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 45 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 46 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 47 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - shading_color shading_fill paragraph_stylename keep_with_next align level - 1 FALSE left NA - 2 FALSE left NA - 3 FALSE left NA - 4 FALSE left NA - 5 FALSE center NA - 6 FALSE center NA - 7 FALSE center NA - 8 FALSE left NA - 9 FALSE center NA - 10 FALSE center NA - 11 FALSE center NA - 12 FALSE left NA - 13 FALSE center NA - 14 FALSE center NA - 15 FALSE center NA - 16 FALSE left NA - 17 FALSE center NA - 18 FALSE center NA - 19 FALSE center NA - 20 FALSE left NA - 21 FALSE center NA - 22 FALSE center NA - 23 FALSE center NA - 24 FALSE left NA - 25 FALSE center NA - 26 FALSE center NA - 27 FALSE center NA - 28 FALSE left NA - 29 FALSE center NA - 30 FALSE center NA - 31 FALSE center NA - 32 FALSE left NA - 33 FALSE center NA - 34 FALSE center NA - 35 FALSE center NA - 36 FALSE left NA - 37 FALSE center NA - 38 FALSE center NA - 39 FALSE center NA - 40 FALSE left NA - 41 FALSE center NA - 42 FALSE center NA - 43 FALSE center NA - 44 FALSE left NA - 45 FALSE center NA - 46 FALSE center NA - 47 FALSE center NA - num_id table_index row_id cell_id col_span row_span is_header - 1 NA 1 1 1 4 1 TRUE - 2 NA 1 1 1 4 1 TRUE - 3 NA 1 1 1 4 1 TRUE - 4 NA 1 2 1 1 1 TRUE - 5 NA 1 2 2 1 1 TRUE - 6 NA 1 2 3 1 1 TRUE - 7 NA 1 2 4 1 1 TRUE - 8 NA 1 3 1 1 1 FALSE - 9 NA 1 3 2 1 1 FALSE - 10 NA 1 3 3 1 1 FALSE - 11 NA 1 3 4 1 1 FALSE - 12 NA 1 4 1 1 1 FALSE - 13 NA 1 4 2 1 1 FALSE - 14 NA 1 4 3 1 1 FALSE - 15 NA 1 4 4 1 1 FALSE - 16 NA 1 5 1 1 1 FALSE - 17 NA 1 5 2 1 1 FALSE - 18 NA 1 5 3 1 1 FALSE - 19 NA 1 5 4 1 1 FALSE - 20 NA 1 6 1 1 1 FALSE - 21 NA 1 6 2 1 1 FALSE - 22 NA 1 6 3 1 1 FALSE - 23 NA 1 6 4 1 1 FALSE - 24 NA 1 7 1 1 1 FALSE - 25 NA 1 7 2 1 1 FALSE - 26 NA 1 7 3 1 1 FALSE - 27 NA 1 7 4 1 1 FALSE - 28 NA 1 8 1 1 1 FALSE - 29 NA 1 8 2 1 1 FALSE - 30 NA 1 8 3 1 1 FALSE - 31 NA 1 8 4 1 1 FALSE - 32 NA 1 9 1 1 1 FALSE - 33 NA 1 9 2 1 1 FALSE - 34 NA 1 9 3 1 1 FALSE - 35 NA 1 9 4 1 1 FALSE - 36 NA 1 10 1 1 1 FALSE - 37 NA 1 10 2 1 1 FALSE - 38 NA 1 10 3 1 1 FALSE - 39 NA 1 10 4 1 1 FALSE - 40 NA 1 11 1 1 1 FALSE - 41 NA 1 11 2 1 1 FALSE - 42 NA 1 11 3 1 1 FALSE - 43 NA 1 11 4 1 1 FALSE - 44 NA 1 12 1 1 1 FALSE - 45 NA 1 12 2 1 1 FALSE - 46 NA 1 12 3 1 1 FALSE - 47 NA 1 12 4 1 1 FALSE - table_stylename - 1 - 2 - 3 - 4 - 5 - 6 - 7 - 8 - 9 - 10 - 11 - 12 - 13 - 14 - 15 - 16 - 17 - 18 - 19 - 20 - 21 - 22 - 23 - 24 - 25 - 26 - 27 - 28 - 29 - 30 - 31 - 32 - 33 - 34 - 35 - 36 - 37 - 38 - 39 - 40 - 41 - 42 - 43 - 44 - 45 - 46 - 47 - -# add_little_gap_bottom_borders_spanning_headers() works correctly - - Code - res$header - Output - $dataset - V1 V2 V3 V4 - 1 spanning header 1 spanning header 1 spanning header 2 spanning header 2 - 2 V1 V2 V3 V4 - - $content - $data - V1 V2 V3 V4 - [1,] data.frame,21 data.frame,21 data.frame,21 data.frame,21 - [2,] data.frame,21 data.frame,21 data.frame,21 data.frame,21 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [[1]] - txt font.size italic bold underlined strike color shading.color font.family - 1 NA NA NA NA NA - hansi.family eastasia.family cs.family vertical.align width height url - 1 NA NA - eq_data word_field_data qmd_data img_data .chunk_index - 1 NULL 1 - - attr(,"class") - [1] "paragraph" - - attr(,"class") - [1] "chunkset_struct" - - $col_keys - [1] "V1" "V2" "V3" "V4" - - $colwidths - V1 V2 V3 V4 - 1.974762 1.468413 1.468413 1.468413 - - $rowheights - [1] 0.4430556 0.4430556 - - $hrule - [1] "auto" "auto" - - $spans - $spans$rows - [,1] [,2] [,3] [,4] - [1,] 2 0 2 0 - [2,] 1 1 1 1 - - $spans$columns - [,1] [,2] [,3] [,4] - [1,] 1 1 1 1 - [2,] 1 1 1 1 - - - $styles - $styles$cells - $vertical.align - $data - V1 V2 V3 V4 - [1,] "bottom" "bottom" "bottom" "bottom" - [2,] "bottom" "bottom" "bottom" "bottom" - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] "center" - - attr(,"class") - [1] "fpstruct" - - $width - $data - V1 V2 V3 V4 - [1,] NA NA NA NA - [2,] NA NA NA NA - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] NA - - attr(,"class") - [1] "fpstruct" - - $height - $data - V1 V2 V3 V4 - [1,] NA NA NA NA - [2,] NA NA NA NA - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] NA - - attr(,"class") - [1] "fpstruct" - - $margin.bottom - $data - V1 V2 V3 V4 - [1,] 0 0 0 0 - [2,] 0 0 0 0 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $margin.top - $data - V1 V2 V3 V4 - [1,] 0 0 0 0 - [2,] 0 0 0 0 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $margin.left - $data - V1 V2 V3 V4 - [1,] 0 0 3 0 - [2,] 0 0 0 0 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $margin.right - $data - V1 V2 V3 V4 - [1,] 3 0 0 0 - [2,] 0 0 0 0 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.width.bottom - $data - V1 V2 V3 V4 - [1,] 0.000 0.000 0.000 0.000 - [2,] 0.875 0.875 0.875 0.875 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.width.top - $data - V1 V2 V3 V4 - [1,] 0.875 0.875 0.875 0.875 - [2,] 0.000 0.000 0.000 0.000 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.width.left - $data - V1 V2 V3 V4 - [1,] 0 0 0 0 - [2,] 0 0 0 0 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.width.right - $data - V1 V2 V3 V4 - [1,] 0 0 0 0 - [2,] 0 0 0 0 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.color.bottom - $data - V1 V2 V3 V4 - [1,] "black" "black" "black" "black" - [2,] "black" "black" "black" "black" - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] "transparent" - - attr(,"class") - [1] "fpstruct" - - $border.color.top - $data - V1 V2 V3 V4 - [1,] "black" "black" "black" "black" - [2,] "black" "black" "black" "black" - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] "transparent" - - attr(,"class") - [1] "fpstruct" - - $border.color.left - $data - V1 V2 V3 V4 - [1,] "black" "black" "black" "black" - [2,] "black" "black" "black" "black" - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] "transparent" - - attr(,"class") - [1] "fpstruct" - - $border.color.right - $data - V1 V2 V3 V4 - [1,] "black" "black" "black" "black" - [2,] "black" "black" "black" "black" - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] "transparent" - - attr(,"class") - [1] "fpstruct" - - $border.style.bottom - $data - V1 V2 V3 V4 - [1,] "solid" "solid" "solid" "solid" - [2,] "solid" "solid" "solid" "solid" - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] "solid" - - attr(,"class") - [1] "fpstruct" - - $border.style.top - $data - V1 V2 V3 V4 - [1,] "solid" "solid" "solid" "solid" - [2,] "solid" "solid" "solid" "solid" - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] "solid" - - attr(,"class") - [1] "fpstruct" - - $border.style.left - $data - V1 V2 V3 V4 - [1,] "solid" "solid" "solid" "solid" - [2,] "solid" "solid" "solid" "solid" - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] "solid" - - attr(,"class") - [1] "fpstruct" - - $border.style.right - $data - V1 V2 V3 V4 - [1,] "solid" "solid" "solid" "solid" - [2,] "solid" "solid" "solid" "solid" - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] "solid" - - attr(,"class") - [1] "fpstruct" - - $text.direction - $data - V1 V2 V3 V4 - [1,] "lrtb" "lrtb" "lrtb" "lrtb" - [2,] "lrtb" "lrtb" "lrtb" "lrtb" - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] "lrtb" - - attr(,"class") - [1] "fpstruct" - - $background.color - $data - V1 V2 V3 V4 - [1,] "transparent" "transparent" "transparent" "transparent" - [2,] "transparent" "transparent" "transparent" "transparent" - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] "transparent" - - attr(,"class") - [1] "fpstruct" - - $hrule - $data - V1 V2 V3 V4 - [1,] "auto" "auto" "auto" "auto" - [2,] "auto" "auto" "auto" "auto" - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] "auto" - - attr(,"class") - [1] "fpstruct" - - attr(,"class") - [1] "cell_struct" - - $styles$pars - $text.align - $data - V1 V2 V3 V4 - [1,] "center" "center" "center" "center" - [2,] "left" "center" "center" "center" - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] "left" - - attr(,"class") - [1] "fpstruct" - - $padding.bottom - $data - V1 V2 V3 V4 - [1,] 0 0 0 0 - [2,] 0 0 0 0 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] 5 - - attr(,"class") - [1] "fpstruct" - - $padding.top - $data - V1 V2 V3 V4 - [1,] 0 0 0 0 - [2,] 0 0 0 0 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] 5 - - attr(,"class") - [1] "fpstruct" - - $padding.left - $data - V1 V2 V3 V4 - [1,] 0.0 0 0 0 - [2,] 4.5 0 0 0 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] 5 - - attr(,"class") - [1] "fpstruct" - - $padding.right - $data - V1 V2 V3 V4 - [1,] 0 0 0 0 - [2,] 0 0 0 0 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] 5 - - attr(,"class") - [1] "fpstruct" - - $line_spacing - $data - V1 V2 V3 V4 - [1,] 1 1 1 1 - [2,] 1 1 1 1 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] 1 - - attr(,"class") - [1] "fpstruct" - - $border.width.bottom - $data - V1 V2 V3 V4 - [1,] 0.875 0.875 0.875 0.875 - [2,] 0.000 0.000 0.000 0.000 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.width.top - $data - V1 V2 V3 V4 - [1,] 0 0 0 0 - [2,] 0 0 0 0 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.width.left - $data - V1 V2 V3 V4 - [1,] 0 0 0 0 - [2,] 0 0 0 0 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.width.right - $data - V1 V2 V3 V4 - [1,] 0 0 0 0 - [2,] 0 0 0 0 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.color.bottom - $data - V1 V2 V3 V4 - [1,] "black" "black" "black" "black" - [2,] "black" "black" "black" "black" - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] "black" - - attr(,"class") - [1] "fpstruct" - - $border.color.top - $data - V1 V2 V3 V4 - [1,] "black" "black" "black" "black" - [2,] "black" "black" "black" "black" - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] "black" - - attr(,"class") - [1] "fpstruct" - - $border.color.left - $data - V1 V2 V3 V4 - [1,] "black" "black" "black" "black" - [2,] "black" "black" "black" "black" - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] "black" - - attr(,"class") - [1] "fpstruct" - - $border.color.right - $data - V1 V2 V3 V4 - [1,] "black" "black" "black" "black" - [2,] "black" "black" "black" "black" - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] "black" - - attr(,"class") - [1] "fpstruct" - - $border.style.bottom - $data - V1 V2 V3 V4 - [1,] "solid" "solid" "solid" "solid" - [2,] "solid" "solid" "solid" "solid" - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] "solid" - - attr(,"class") - [1] "fpstruct" - - $border.style.top - $data - V1 V2 V3 V4 - [1,] "solid" "solid" "solid" "solid" - [2,] "solid" "solid" "solid" "solid" - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] "solid" - - attr(,"class") - [1] "fpstruct" - - $border.style.left - $data - V1 V2 V3 V4 - [1,] "solid" "solid" "solid" "solid" - [2,] "solid" "solid" "solid" "solid" - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] "solid" - - attr(,"class") - [1] "fpstruct" - - $border.style.right - $data - V1 V2 V3 V4 - [1,] "solid" "solid" "solid" "solid" - [2,] "solid" "solid" "solid" "solid" - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] "solid" - - attr(,"class") - [1] "fpstruct" - - $shading.color - $data - V1 V2 V3 V4 - [1,] "transparent" "transparent" "transparent" "transparent" - [2,] "transparent" "transparent" "transparent" "transparent" - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] "transparent" - - attr(,"class") - [1] "fpstruct" - - $keep_with_next - $data - V1 V2 V3 V4 - [1,] FALSE FALSE FALSE FALSE - [2,] FALSE FALSE FALSE FALSE - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] FALSE - - attr(,"class") - [1] "fpstruct" - - $word_style - $data - V1 V2 V3 V4 - [1,] "Normal" "Normal" "Normal" "Normal" - [2,] "Normal" "Normal" "Normal" "Normal" - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] "Normal" - - attr(,"class") - [1] "fpstruct" - - $tabs - $data - V1 V2 V3 V4 - [1,] NA NA NA NA - [2,] NA NA NA NA - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] NA - - attr(,"class") - [1] "fpstruct" - - attr(,"class") - [1] "par_struct" - - $styles$text - $color - $data - V1 V2 V3 V4 - [1,] "black" "black" "black" "black" - [2,] "black" "black" "black" "black" - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] "black" - - attr(,"class") - [1] "fpstruct" - - $font.size - $data - V1 V2 V3 V4 - [1,] 9 9 9 9 - [2,] 9 9 9 9 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] 11 - - attr(,"class") - [1] "fpstruct" - - $bold - $data - V1 V2 V3 V4 - [1,] FALSE FALSE FALSE FALSE - [2,] FALSE FALSE FALSE FALSE - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] FALSE - - attr(,"class") - [1] "fpstruct" - - $italic - $data - V1 V2 V3 V4 - [1,] FALSE FALSE FALSE FALSE - [2,] FALSE FALSE FALSE FALSE - - $keys - [1] "V1" "V2" "V3" "V4" - 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21 21 table cell 1 1 9/134 (6.7%) - 22 22 table cell 1 1 10/132 (7.6%) - 23 23 table cell 1 1 NGA - 24 24 table cell 1 1 8/134 (6.0%) - 25 25 table cell 1 1 7/134 (5.2%) - 26 26 table cell 1 1 11/132 (8.3%) - 27 27 table cell 1 1 RUS - 28 28 table cell 1 1 5/134 (3.7%) - 29 29 table cell 1 1 8/134 (6.0%) - 30 30 table cell 1 1 6/132 (4.5%) - 31 31 table cell 1 1 JPN - 32 32 table cell 1 1 5/134 (3.7%) - 33 33 table cell 1 1 4/134 (3.0%) - 34 34 table cell 1 1 9/132 (6.8%) - 35 35 table cell 1 1 GBR - 36 36 table cell 1 1 4/134 (3.0%) - 37 37 table cell 1 1 3/134 (2.2%) - 38 38 table cell 1 1 2/132 (1.5%) - 39 39 table cell 1 1 CAN - 40 40 table cell 1 1 3/134 (2.2%) - 41 41 table cell 1 1 2/134 (1.5%) - 42 42 table cell 1 1 3/132 (2.3%) - 43 43 table cell 1 1 CHE - 44 44 table cell 1 1 0/134 (0.0%) - 45 45 table cell 1 1 0/134 (0.0%) - 46 46 table cell 1 1 0/132 (0.0%) - image_path field_code footnote_text link link_to_bookmark bookmark_start - 1 - 2 - 3 - 4 - 5 - 6 - 7 - 8 - 9 - 10 - 11 - 12 - 13 - 14 - 15 - 16 - 17 - 18 - 19 - 20 - 21 - 22 - 23 - 24 - 25 - 26 - 27 - 28 - 29 - 30 - 31 - 32 - 33 - 34 - 35 - 36 - 37 - 38 - 39 - 40 - 41 - 42 - 43 - 44 - 45 - 46 - character_stylename sz sz_cs font_family_ascii font_family_eastasia - 1 18 18 Times New Roman Times New Roman - 2 18 18 Times New Roman Times New Roman - 3 18 18 Times New Roman Times New Roman - 4 18 18 Times New Roman Times New Roman - 5 18 18 Times New Roman Times New Roman - 6 18 18 Times New Roman Times New Roman - 7 18 18 Times New Roman Times New Roman - 8 18 18 Times New Roman Times New Roman - 9 18 18 Times New Roman Times New Roman - 10 18 18 Times New Roman Times New Roman - 11 18 18 Times New Roman Times New Roman - 12 18 18 Times New Roman Times New Roman - 13 18 18 Times New Roman Times New Roman - 14 18 18 Times New Roman Times New Roman - 15 18 18 Times New Roman Times New Roman - 16 18 18 Times New Roman Times New Roman - 17 18 18 Times New Roman Times New Roman - 18 18 18 Times New Roman Times New Roman - 19 18 18 Times New Roman Times New Roman - 20 18 18 Times New Roman Times New Roman - 21 18 18 Times New Roman Times New Roman - 22 18 18 Times New Roman Times New Roman - 23 18 18 Times New Roman Times New Roman - 24 18 18 Times New Roman Times New Roman - 25 18 18 Times New Roman Times New Roman - 26 18 18 Times New Roman Times New Roman - 27 18 18 Times New Roman Times New Roman - 28 18 18 Times New Roman Times New Roman - 29 18 18 Times New Roman Times New Roman - 30 18 18 Times New Roman Times New Roman - 31 18 18 Times New Roman Times New Roman - 32 18 18 Times New Roman Times New Roman - 33 18 18 Times New Roman Times New Roman - 34 18 18 Times New Roman Times New Roman - 35 18 18 Times New Roman Times New Roman - 36 18 18 Times New Roman Times New Roman - 37 18 18 Times New Roman Times New Roman - 38 18 18 Times New Roman Times New Roman - 39 18 18 Times New Roman Times New Roman - 40 18 18 Times New Roman Times New Roman - 41 18 18 Times New Roman Times New Roman - 42 18 18 Times New Roman Times New Roman - 43 18 18 Times New Roman Times New Roman - 44 18 18 Times New Roman Times New Roman - 45 18 18 Times New Roman Times New Roman - 46 18 18 Times New Roman Times New Roman - font_family_hansi font_family_cs bold italic underline color shading - 1 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 2 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 3 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 4 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 5 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 6 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 7 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 8 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 9 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 10 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 11 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 12 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 13 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 14 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 15 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 16 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 17 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 18 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 19 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 20 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 21 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 22 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 23 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 24 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 25 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 26 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 27 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 28 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 29 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 30 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 31 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 32 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 33 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 34 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 35 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 36 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 37 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 38 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 39 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 40 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 41 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 42 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 43 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 44 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 45 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - 46 Times New Roman Times New Roman FALSE FALSE FALSE #000000 - shading_color shading_fill paragraph_stylename keep_with_next align level - 1 FALSE center NA - 2 FALSE center NA - 3 FALSE left NA - 4 FALSE center NA - 5 FALSE center NA - 6 FALSE center NA - 7 FALSE left NA - 8 FALSE center NA - 9 FALSE center NA - 10 FALSE center NA - 11 FALSE left NA - 12 FALSE center NA - 13 FALSE center NA - 14 FALSE center NA - 15 FALSE left NA - 16 FALSE center NA - 17 FALSE center NA - 18 FALSE center NA - 19 FALSE left NA - 20 FALSE center NA - 21 FALSE center NA - 22 FALSE center NA - 23 FALSE left NA - 24 FALSE center NA - 25 FALSE center NA - 26 FALSE center NA - 27 FALSE left NA - 28 FALSE center NA - 29 FALSE center NA - 30 FALSE center NA - 31 FALSE left NA - 32 FALSE center NA - 33 FALSE center NA - 34 FALSE center NA - 35 FALSE left NA - 36 FALSE center NA - 37 FALSE center NA - 38 FALSE center NA - 39 FALSE left NA - 40 FALSE center NA - 41 FALSE center NA - 42 FALSE center NA - 43 FALSE left NA - 44 FALSE center NA - 45 FALSE center NA - 46 FALSE center NA - num_id table_index row_id cell_id col_span row_span is_header - 1 NA 1 1 1 2 1 TRUE - 2 NA 1 1 3 2 1 TRUE - 3 NA 1 2 1 1 1 TRUE - 4 NA 1 2 2 1 1 TRUE - 5 NA 1 2 3 1 1 TRUE - 6 NA 1 2 4 1 1 TRUE - 7 NA 1 3 1 1 1 FALSE - 8 NA 1 3 2 1 1 FALSE - 9 NA 1 3 3 1 1 FALSE - 10 NA 1 3 4 1 1 FALSE - 11 NA 1 4 1 1 1 FALSE - 12 NA 1 4 2 1 1 FALSE - 13 NA 1 4 3 1 1 FALSE - 14 NA 1 4 4 1 1 FALSE - 15 NA 1 5 1 1 1 FALSE - 16 NA 1 5 2 1 1 FALSE - 17 NA 1 5 3 1 1 FALSE - 18 NA 1 5 4 1 1 FALSE - 19 NA 1 6 1 1 1 FALSE - 20 NA 1 6 2 1 1 FALSE - 21 NA 1 6 3 1 1 FALSE - 22 NA 1 6 4 1 1 FALSE - 23 NA 1 7 1 1 1 FALSE - 24 NA 1 7 2 1 1 FALSE - 25 NA 1 7 3 1 1 FALSE - 26 NA 1 7 4 1 1 FALSE - 27 NA 1 8 1 1 1 FALSE - 28 NA 1 8 2 1 1 FALSE - 29 NA 1 8 3 1 1 FALSE - 30 NA 1 8 4 1 1 FALSE - 31 NA 1 9 1 1 1 FALSE - 32 NA 1 9 2 1 1 FALSE - 33 NA 1 9 3 1 1 FALSE - 34 NA 1 9 4 1 1 FALSE - 35 NA 1 10 1 1 1 FALSE - 36 NA 1 10 2 1 1 FALSE - 37 NA 1 10 3 1 1 FALSE - 38 NA 1 10 4 1 1 FALSE - 39 NA 1 11 1 1 1 FALSE - 40 NA 1 11 2 1 1 FALSE - 41 NA 1 11 3 1 1 FALSE - 42 NA 1 11 4 1 1 FALSE - 43 NA 1 12 1 1 1 FALSE - 44 NA 1 12 2 1 1 FALSE - 45 NA 1 12 3 1 1 FALSE - 46 NA 1 12 4 1 1 FALSE - table_stylename - 1 - 2 - 3 - 4 - 5 - 6 - 7 - 8 - 9 - 10 - 11 - 12 - 13 - 14 - 15 - 16 - 17 - 18 - 19 - 20 - 21 - 22 - 23 - 24 - 25 - 26 - 27 - 28 - 29 - 30 - 31 - 32 - 33 - 34 - 35 - 36 - 37 - 38 - 39 - 40 - 41 - 42 - 43 - 44 - 45 - 46 - -# export_TLG_as_docx() works with pagination - - Code - officer::docx_summary(x = doc, detailed = detailed) - Output - doc_index content_type run_index run_content_index - 1 1 table cell 1 1 - 2 1 table cell 2 1 - 3 1 table cell 3 1 - 4 2 table cell 1 1 - 5 3 table cell 1 1 - 6 4 table cell 1 1 - 7 5 table cell 1 1 - 8 6 table cell 1 1 - 9 7 table cell 1 1 - 10 8 table cell 1 1 - 11 9 table cell 1 1 - 12 10 table cell 1 1 - 13 11 table cell 1 1 - 14 12 table cell 1 1 - 15 13 table cell 1 1 - 16 14 table cell 1 1 - 17 15 table cell 1 1 - 18 16 table cell 1 1 - 19 17 table cell 1 1 - 20 18 table cell 1 1 - 21 19 table cell 1 1 - 22 20 table cell 1 1 - 23 21 table cell 1 1 - 24 22 table cell 1 1 - 25 23 table cell 1 1 - 26 24 table cell 1 1 - 27 25 table cell 1 1 - 28 26 table cell 1 1 - 29 27 table cell 1 1 - 30 28 table cell 1 1 - 31 29 table cell 1 1 - 32 30 table cell 1 1 - 33 31 table cell 1 1 - 34 32 table cell 1 1 - 35 33 table cell 1 1 - 36 34 table cell 1 1 - 37 35 table cell 1 1 - 38 36 table cell 1 1 - 39 37 table cell 1 1 - 40 38 table cell 1 1 - 41 39 table cell 1 1 - 42 40 table cell 1 1 - 43 41 table cell 1 1 - 44 42 table cell 1 1 - 45 43 table cell 1 1 - 46 44 table cell 1 1 - 47 45 table cell 1 1 - 48 46 table cell 1 1 - 49 47 table cell 1 1 - 50 48 table cell 1 1 - 51 49 table cell 1 1 - 52 50 table cell 1 1 - 53 51 table cell 1 1 - 54 52 table cell 1 1 - 55 53 table cell 1 1 - 56 54 table cell 1 1 - 57 55 table cell 1 1 - 58 56 table cell 1 1 - 59 57 table cell 1 1 - 60 58 table cell 1 1 - 61 59 table cell 1 1 - 62 60 table cell 1 1 - 63 61 table cell 1 1 - 64 62 table cell 1 1 - 65 63 table cell 1 1 - 66 64 table cell 1 1 - 67 65 table cell 1 1 - 68 66 table cell 1 1 - 69 67 table cell 1 1 - 70 68 table cell 1 1 - 71 69 table cell 1 1 - 72 70 table cell 1 1 - 73 71 table cell 1 1 - 74 72 table cell 1 1 - 75 73 table cell 1 1 - 76 74 table cell 1 1 - 77 75 table cell 1 1 - 78 76 table cell 1 1 - 79 77 table cell 1 1 - 80 78 table cell 1 1 - 81 79 table cell 1 1 - 82 80 table cell 1 1 - 83 81 table cell 1 1 - 84 82 table cell 1 1 - 85 83 table cell 1 1 - 86 84 table cell 1 1 - 87 85 table cell 1 1 - 88 86 table cell 1 1 - 89 87 table cell 1 1 - 90 88 table cell 1 1 - 91 89 table cell 1 1 - 92 90 table cell 1 1 - 93 91 table cell 1 1 - 94 92 table cell 1 1 - 95 93 table cell 1 1 - 96 94 table cell 1 1 - 97 95 table cell 1 1 - 98 96 table cell 1 1 - 99 97 table cell 1 1 - 100 98 table cell 1 1 - 101 99 table cell 1 1 - 102 100 table cell 1 1 - 103 101 table cell 1 1 - 104 102 table cell 1 1 - 105 103 table cell 1 1 - 106 104 table cell 1 1 - 107 105 table cell 1 1 - 108 106 table cell 1 1 - 109 107 table cell 1 1 - 110 108 table cell 1 1 - 111 109 table cell 1 1 - 112 110 table cell 1 1 - 113 111 table cell 1 1 - 114 112 table cell 1 1 - 115 113 table cell 1 1 - 116 114 table cell 1 1 - 117 115 table cell 1 1 - 118 116 table cell 1 1 - 119 117 table cell 1 1 - 120 118 table cell 1 1 - 121 119 table cell 1 1 - 122 120 table cell 1 1 - 123 121 table cell 1 1 - 124 122 table cell 1 1 - 125 123 table cell 1 1 - 126 124 table cell 1 1 - 127 125 table cell 1 1 - 128 126 table cell 1 1 - 129 127 table cell 1 1 - 130 128 table cell 1 1 - 131 129 table cell 1 1 - 132 130 table cell 1 1 - 133 131 table cell 1 1 - 134 132 table cell 1 1 - 135 133 table cell 1 1 - 136 134 table cell 1 1 - 137 135 table cell 1 1 - 138 136 table cell 1 1 - 139 137 table cell 1 1 - 140 138 table cell 1 1 - 141 139 table cell 1 1 - 142 140 table cell 1 1 - 143 141 table cell 1 1 - 144 142 table cell 1 1 - 145 143 table cell 1 1 - 146 144 table cell 1 1 - 147 145 table cell 1 1 - 148 146 table cell 1 1 - 149 147 table cell 1 1 - 150 148 table cell 1 1 - 151 149 table cell 1 1 - 152 150 table cell 1 1 - 153 151 table cell 1 1 - 154 152 table cell 1 1 - 155 153 table cell 1 1 - 156 154 table cell 1 1 - 157 155 table cell 1 1 - 158 156 table cell 1 1 - 159 157 table cell 1 1 - 160 158 table cell 1 1 - 161 159 table cell 1 1 - 162 160 table cell 1 1 - 163 161 table cell 1 1 - 164 162 table cell 1 1 - 165 163 table cell 1 1 - 166 164 table cell 1 1 - 167 165 table cell 1 1 - 168 166 table cell 1 1 - 169 167 table cell 1 1 - 170 168 table cell 1 1 - 171 169 table cell 1 1 - 172 170 table cell 1 1 - 173 171 table cell 1 1 - 174 172 table cell 1 1 - 175 173 table cell 1 1 - 176 174 table cell 1 1 - 177 175 table cell 1 1 - 178 176 table cell 1 1 - 179 177 table cell 1 1 - 180 178 table cell 1 1 - 181 179 table cell 1 1 - 182 180 table cell 1 1 - 183 181 table cell 1 1 - 184 182 table cell 1 1 - 185 183 table cell 1 1 - 186 184 table cell 1 1 - 187 185 table cell 1 1 - 188 186 table cell 1 1 - 189 187 table cell 1 1 - 190 188 table cell 1 1 - 191 189 table cell 1 1 - 192 190 table cell 1 1 - 193 191 table cell 1 1 - 194 192 table cell 1 1 - 195 193 table cell 1 1 - 196 194 table cell 1 1 - 197 195 table cell 1 1 - 198 196 table cell 1 1 - 199 197 table cell 1 1 - 200 198 table cell 1 1 - 201 199 table cell 1 1 - 202 200 table cell 1 1 - 203 201 table cell 1 1 - 204 202 table cell 1 1 - 205 203 table cell 1 1 - 206 204 table cell 1 1 - 207 205 table cell 1 1 - 208 206 table cell 1 1 - 209 207 table cell 1 1 - 210 208 table cell 1 1 - 211 209 table cell 1 1 - 212 210 table cell 1 1 - 213 211 table cell 1 1 - 214 212 table cell 1 1 - 215 213 table cell 1 1 - 216 214 table cell 1 1 - 217 215 table cell 1 1 - 218 216 table cell 1 1 - 219 217 table cell 1 1 - 220 218 table cell 1 1 - 221 219 table cell 1 1 - 222 220 table cell 1 1 - 223 221 table cell 1 1 - 224 222 table cell 1 1 - 225 223 table cell 1 1 - 226 224 table cell 1 1 - 227 225 table cell 1 1 - 228 226 table cell 1 1 - 229 227 table cell 1 1 - 230 228 table cell 1 1 - 231 229 table cell 1 1 - 232 230 table cell 1 1 - 233 231 table cell 1 1 - 234 232 table cell 1 1 - 235 233 table cell 1 1 - 236 234 table cell 1 1 - 237 235 table cell 1 1 - 238 236 table cell 1 1 - 239 237 table cell 1 1 - 240 238 table cell 1 1 - 241 239 table cell 1 1 - 242 240 table cell 1 1 - 243 241 table cell 1 1 - 244 242 table cell 1 1 - 245 243 table cell 1 1 - 246 244 table cell 1 1 - 247 245 table cell 1 1 - 248 246 table cell 1 1 - 249 247 table cell 1 1 - 250 248 table cell 1 1 - 251 249 table cell 1 1 - 252 250 table cell 1 1 - 253 251 table cell 1 1 - 254 252 table cell 1 1 - 255 253 table cell 1 1 - 256 254 table cell 1 1 - 257 255 table cell 1 1 - 258 255 table cell 2 1 - 259 255 table cell 3 1 - 260 255 table cell 4 1 - run_content_text image_path field_code footnote_text - 1 test1234part1of2: - 2 \t - 3 This is the main Title - 4 - 5 Active Study Agent - 6 - 7 A: Drug X - 8 C: Combination - 9 Laboratory Test - 10 N=134 - 11 N=132 - 12 Study Visit - 13 n/N (%) - 14 Mean (95% CI) - 15 Mean Change From Baseline (95% CI) - 16 n/N (%) - 17 Mean (95% CI) - 18 Mean Change From Baseline (95% CI) - 19 Age: < 35 years - 20 134 - 21 - 22 - 23 132 - 24 - 25 - 26 - 27 - 28 - 29 - 30 - 31 - 32 - 33 Alanine Aminotransferase Measurement - 34 - 35 - 36 - 37 - 38 - 39 - 40 BASELINE - 41 77/77 (100.0%) - 42 50.1 (48.2, 52.0) - 43 0.0 (0.0, 0.0) - 44 63/63 (100.0%) - 45 51.1 (49.2, 53.0) - 46 0.0 (0.0, 0.0) - 47 WEEK 1 DAY 8 - 48 77/77 (100.0%) - 49 49.2 (47.3, 51.0) - 50 -0.9 (-3.8, 1.9) - 51 63/63 (100.0%) - 52 50.4 (48.5, 52.4) - 53 -0.7 (-3.2, 1.9) - 54 WEEK 2 DAY 15 - 55 77/77 (100.0%) - 56 50.5 (48.6, 52.3) - 57 0.4 (-2.3, 3.1) - 58 63/63 (100.0%) - 59 48.3 (46.5, 50.2) - 60 -2.8 (-5.4, -0.2) - 61 WEEK 3 DAY 22 - 62 77/77 (100.0%) - 63 50.1 (48.3, 51.9) - 64 0.0 (-2.6, 2.6) - 65 63/63 (100.0%) - 66 49.5 (47.5, 51.5) - 67 -1.6 (-4.3, 1.2) - 68 WEEK 4 DAY 29 - 69 77/77 (100.0%) - 70 50.8 (49.0, 52.6) - 71 0.7 (-2.1, 3.5) - 72 63/63 (100.0%) - 73 49.6 (47.6, 51.6) - 74 -1.5 (-4.2, 1.1) - 75 WEEK 5 DAY 36 - 76 77/77 (100.0%) - 77 50.8 (49.1, 52.5) - 78 0.7 (-2.1, 3.6) - 79 63/63 (100.0%) - 80 49.9 (47.9, 51.9) - 81 -1.2 (-4.0, 1.7) - 82 - 83 - 84 - 85 - 86 - 87 - 88 - 89 C-Reactive Protein Measurement - 90 - 91 - 92 - 93 - 94 - 95 - 96 BASELINE - 97 77/77 (100.0%) - 98 49.3 (46.9, 51.6) - 99 0.0 (0.0, 0.0) - 100 63/63 (100.0%) - 101 50.8 (48.6, 53.0) - 102 0.0 (0.0, 0.0) - 103 WEEK 1 DAY 8 - 104 77/77 (100.0%) - 105 51.2 (49.2, 53.2) - 106 2.0 (-1.2, 5.2) - 107 63/63 (100.0%) - 108 51.0 (48.8, 53.1) - 109 0.2 (-2.9, 3.3) - 110 WEEK 2 DAY 15 - 111 77/77 (100.0%) - 112 49.3 (47.5, 51.2) - 113 0.1 (-2.9, 3.0) - 114 63/63 (100.0%) - 115 50.1 (48.3, 52.0) - 116 -0.6 (-3.3, 2.1) - 117 WEEK 3 DAY 22 - 118 77/77 (100.0%) - 119 49.3 (47.2, 51.3) - 120 0.0 (-3.1, 3.2) - 121 63/63 (100.0%) - 122 49.6 (47.7, 51.4) - 123 -1.2 (-4.1, 1.8) - 124 WEEK 4 DAY 29 - 125 77/77 (100.0%) - 126 51.1 (49.1, 53.2) - 127 1.9 (-1.2, 5.0) - 128 63/63 (100.0%) - 129 50.0 (48.0, 52.0) - 130 -0.7 (-3.9, 2.4) - 131 WEEK 5 DAY 36 - 132 77/77 (100.0%) - 133 50.3 (48.2, 52.3) - 134 1.0 (-2.3, 4.3) - 135 63/63 (100.0%) - 136 49.1 (47.2, 51.0) - 137 -1.6 (-4.5, 1.2) - 138 Age: ≥ 35 years - 139 134 - 140 - 141 - 142 132 - 143 - 144 - 145 - 146 - 147 - 148 - 149 - 150 - 151 - 152 Alanine Aminotransferase Measurement - 153 - 154 - 155 - 156 - 157 - 158 - 159 BASELINE - 160 57/57 (100.0%) - 161 48.9 (46.6, 51.1) - 162 0.0 (0.0, 0.0) - 163 69/69 (100.0%) - 164 50.7 (48.8, 52.7) - 165 0.0 (0.0, 0.0) - 166 WEEK 1 DAY 8 - 167 57/57 (100.0%) - 168 47.8 (45.8, 49.9) - 169 -1.0 (-3.8, 1.8) - 170 69/69 (100.0%) - 171 51.7 (49.8, 53.6) - 172 1.0 (-1.8, 3.8) - 173 WEEK 2 DAY 15 - 174 57/57 (100.0%) - 175 48.0 (45.7, 50.3) - 176 -0.9 (-4.1, 2.3) - 177 69/69 (100.0%) - 178 48.7 (47.0, 50.4) - 179 -2.1 (-4.8, 0.7) - 180 WEEK 3 DAY 22 - 181 57/57 (100.0%) - 182 50.5 (48.6, 52.4) - 183 1.6 (-1.5, 4.7) - 184 69/69 (100.0%) - 185 48.2 (46.3, 50.1) - 186 -2.5 (-5.2, 0.2) - 187 WEEK 4 DAY 29 - 188 57/57 (100.0%) - 189 50.6 (47.8, 53.4) - 190 1.7 (-2.1, 5.4) - 191 69/69 (100.0%) - 192 49.7 (47.8, 51.6) - 193 -1.0 (-3.6, 1.6) - 194 WEEK 5 DAY 36 - 195 57/57 (100.0%) - 196 50.9 (48.6, 53.1) - 197 2.0 (-1.0, 5.0) - 198 69/69 (100.0%) - 199 50.0 (47.9, 52.1) - 200 -0.7 (-3.4, 2.0) - 201 - 202 - 203 - 204 - 205 - 206 - 207 - 208 C-Reactive Protein Measurement - 209 - 210 - 211 - 212 - 213 - 214 - 215 BASELINE - 216 57/57 (100.0%) - 217 48.5 (46.3, 50.7) - 218 0.0 (0.0, 0.0) - 219 69/69 (100.0%) - 220 49.7 (47.8, 51.7) - 221 0.0 (0.0, 0.0) - 222 WEEK 1 DAY 8 - 223 57/57 (100.0%) - 224 52.7 (50.9, 54.6) - 225 4.2 (1.6, 6.8) - 226 69/69 (100.0%) - 227 49.6 (47.2, 52.0) - 228 -0.1 (-3.4, 3.2) - 229 WEEK 2 DAY 15 - 230 57/57 (100.0%) - 231 50.3 (48.1, 52.6) - 232 1.8 (-1.3, 4.9) - 233 69/69 (100.0%) - 234 48.2 (46.0, 50.3) - 235 -1.5 (-4.3, 1.3) - 236 WEEK 3 DAY 22 - 237 57/57 (100.0%) - 238 51.1 (49.2, 53.0) - 239 2.6 (-0.1, 5.3) - 240 69/69 (100.0%) - 241 50.0 (48.1, 51.9) - 242 0.3 (-2.7, 3.3) - 243 WEEK 4 DAY 29 - 244 57/57 (100.0%) - 245 52.2 (50.4, 54.1) - 246 3.7 (1.1, 6.3) - 247 69/69 (100.0%) - 248 49.5 (47.8, 51.3) - 249 -0.2 (-2.8, 2.4) - 250 WEEK 5 DAY 36 - 251 57/57 (100.0%) - 252 49.0 (46.7, 51.3) - 253 0.5 (-2.6, 3.6) - 254 69/69 (100.0%) - 255 49.0 (47.1, 50.9) - 256 -0.7 (-3.6, 2.2) - 257 \n - 258 footer 1 - 259 \n - 260 footer 2 - link link_to_bookmark bookmark_start character_stylename sz sz_cs - 1 20 20 - 2 20 20 - 3 20 20 - 4 18 18 - 5 18 18 - 6 18 18 - 7 18 18 - 8 18 18 - 9 18 18 - 10 18 18 - 11 18 18 - 12 18 18 - 13 18 18 - 14 18 18 - 15 18 18 - 16 18 18 - 17 18 18 - 18 18 18 - 19 18 18 - 20 18 18 - 21 18 18 - 22 18 18 - 23 18 18 - 24 18 18 - 25 18 18 - 26 18 18 - 27 18 18 - 28 18 18 - 29 18 18 - 30 18 18 - 31 18 18 - 32 18 18 - 33 18 18 - 34 18 18 - 35 18 18 - 36 18 18 - 37 18 18 - 38 18 18 - 39 18 18 - 40 18 18 - 41 18 18 - 42 18 18 - 43 18 18 - 44 18 18 - 45 18 18 - 46 18 18 - 47 18 18 - 48 18 18 - 49 18 18 - 50 18 18 - 51 18 18 - 52 18 18 - 53 18 18 - 54 18 18 - 55 18 18 - 56 18 18 - 57 18 18 - 58 18 18 - 59 18 18 - 60 18 18 - 61 18 18 - 62 18 18 - 63 18 18 - 64 18 18 - 65 18 18 - 66 18 18 - 67 18 18 - 68 18 18 - 69 18 18 - 70 18 18 - 71 18 18 - 72 18 18 - 73 18 18 - 74 18 18 - 75 18 18 - 76 18 18 - 77 18 18 - 78 18 18 - 79 18 18 - 80 18 18 - 81 18 18 - 82 18 18 - 83 18 18 - 84 18 18 - 85 18 18 - 86 18 18 - 87 18 18 - 88 18 18 - 89 18 18 - 90 18 18 - 91 18 18 - 92 18 18 - 93 18 18 - 94 18 18 - 95 18 18 - 96 18 18 - 97 18 18 - 98 18 18 - 99 18 18 - 100 18 18 - 101 18 18 - 102 18 18 - 103 18 18 - 104 18 18 - 105 18 18 - 106 18 18 - 107 18 18 - 108 18 18 - 109 18 18 - 110 18 18 - 111 18 18 - 112 18 18 - 113 18 18 - 114 18 18 - 115 18 18 - 116 18 18 - 117 18 18 - 118 18 18 - 119 18 18 - 120 18 18 - 121 18 18 - 122 18 18 - 123 18 18 - 124 18 18 - 125 18 18 - 126 18 18 - 127 18 18 - 128 18 18 - 129 18 18 - 130 18 18 - 131 18 18 - 132 18 18 - 133 18 18 - 134 18 18 - 135 18 18 - 136 18 18 - 137 18 18 - 138 18 18 - 139 18 18 - 140 18 18 - 141 18 18 - 142 18 18 - 143 18 18 - 144 18 18 - 145 18 18 - 146 18 18 - 147 18 18 - 148 18 18 - 149 18 18 - 150 18 18 - 151 18 18 - 152 18 18 - 153 18 18 - 154 18 18 - 155 18 18 - 156 18 18 - 157 18 18 - 158 18 18 - 159 18 18 - 160 18 18 - 161 18 18 - 162 18 18 - 163 18 18 - 164 18 18 - 165 18 18 - 166 18 18 - 167 18 18 - 168 18 18 - 169 18 18 - 170 18 18 - 171 18 18 - 172 18 18 - 173 18 18 - 174 18 18 - 175 18 18 - 176 18 18 - 177 18 18 - 178 18 18 - 179 18 18 - 180 18 18 - 181 18 18 - 182 18 18 - 183 18 18 - 184 18 18 - 185 18 18 - 186 18 18 - 187 18 18 - 188 18 18 - 189 18 18 - 190 18 18 - 191 18 18 - 192 18 18 - 193 18 18 - 194 18 18 - 195 18 18 - 196 18 18 - 197 18 18 - 198 18 18 - 199 18 18 - 200 18 18 - 201 18 18 - 202 18 18 - 203 18 18 - 204 18 18 - 205 18 18 - 206 18 18 - 207 18 18 - 208 18 18 - 209 18 18 - 210 18 18 - 211 18 18 - 212 18 18 - 213 18 18 - 214 18 18 - 215 18 18 - 216 18 18 - 217 18 18 - 218 18 18 - 219 18 18 - 220 18 18 - 221 18 18 - 222 18 18 - 223 18 18 - 224 18 18 - 225 18 18 - 226 18 18 - 227 18 18 - 228 18 18 - 229 18 18 - 230 18 18 - 231 18 18 - 232 18 18 - 233 18 18 - 234 18 18 - 235 18 18 - 236 18 18 - 237 18 18 - 238 18 18 - 239 18 18 - 240 18 18 - 241 18 18 - 242 18 18 - 243 18 18 - 244 18 18 - 245 18 18 - 246 18 18 - 247 18 18 - 248 18 18 - 249 18 18 - 250 18 18 - 251 18 18 - 252 18 18 - 253 18 18 - 254 18 18 - 255 18 18 - 256 18 18 - 257 18 18 - 258 18 18 - 259 18 18 - 260 18 18 - font_family_ascii font_family_eastasia font_family_hansi font_family_cs - 1 Times New Roman Times New Roman Times New Roman Times New Roman - 2 Times New Roman Times New Roman Times New Roman Times New Roman - 3 Times New Roman Times New Roman Times New Roman Times New Roman - 4 Times New Roman Times New Roman Times New Roman Times New Roman - 5 Times New Roman Times New Roman Times New Roman Times New Roman - 6 Times New Roman Times New Roman Times New Roman Times New Roman - 7 Times New Roman Times New Roman Times New Roman Times New Roman - 8 Times New Roman Times New Roman Times New Roman Times New Roman - 9 Times New Roman Times New Roman Times New Roman Times New Roman - 10 Times New Roman Times New Roman Times New Roman Times New Roman - 11 Times New Roman Times New Roman Times New Roman Times New Roman - 12 Times New Roman Times New Roman Times New Roman Times New Roman - 13 Times New Roman Times New Roman Times New Roman Times New Roman - 14 Times New Roman Times New Roman Times New Roman Times New Roman - 15 Times New Roman Times New Roman Times New Roman Times New Roman - 16 Times New Roman Times New Roman Times New Roman Times New Roman - 17 Times New Roman Times New Roman Times New Roman Times New Roman - 18 Times New Roman Times New Roman Times New Roman Times New Roman - 19 Times New Roman Times New Roman Times New Roman Times New Roman - 20 Times New Roman Times New Roman Times New Roman Times New Roman - 21 Times New Roman Times New Roman Times New Roman Times New Roman - 22 Times New Roman Times New Roman Times New Roman Times New Roman - 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38 Times New Roman Times New Roman Times New Roman Times New Roman - 39 Times New Roman Times New Roman Times New Roman Times New Roman - 40 Times New Roman Times New Roman Times New Roman Times New Roman - 41 Times New Roman Times New Roman Times New Roman Times New Roman - 42 Times New Roman Times New Roman Times New Roman Times New Roman - 43 Times New Roman Times New Roman Times New Roman Times New Roman - 44 Times New Roman Times New Roman Times New Roman Times New Roman - 45 Times New Roman Times New Roman Times New Roman Times New Roman - 46 Times New Roman Times New Roman Times New Roman Times New Roman - 47 Times New Roman Times New Roman Times New Roman Times New Roman - 48 Times New Roman Times New Roman Times New Roman Times New Roman - 49 Times New Roman Times New Roman Times New Roman Times New Roman - 50 Times New Roman Times New Roman Times New Roman Times New Roman - 51 Times New Roman Times New Roman Times New Roman Times New Roman - 52 Times New Roman Times New Roman Times New Roman Times New Roman - 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198 Normal FALSE center NA NA 1 31 - 199 Normal FALSE center NA NA 1 31 - 200 Normal FALSE center NA NA 1 31 - 201 Normal FALSE left NA NA 1 32 - 202 Normal FALSE center NA NA 1 32 - 203 Normal FALSE center NA NA 1 32 - 204 Normal FALSE center NA NA 1 32 - 205 Normal FALSE center NA NA 1 32 - 206 Normal FALSE center NA NA 1 32 - 207 Normal FALSE center NA NA 1 32 - 208 Normal FALSE left NA NA 1 33 - 209 Normal FALSE center NA NA 1 33 - 210 Normal FALSE center NA NA 1 33 - 211 Normal FALSE center NA NA 1 33 - 212 Normal FALSE center NA NA 1 33 - 213 Normal FALSE center NA NA 1 33 - 214 Normal FALSE center NA NA 1 33 - 215 Normal FALSE left NA NA 1 34 - 216 Normal FALSE center NA NA 1 34 - 217 Normal FALSE center NA NA 1 34 - 218 Normal FALSE center NA NA 1 34 - 219 Normal FALSE center NA NA 1 34 - 220 Normal FALSE center NA NA 1 34 - 221 Normal FALSE center NA NA 1 34 - 222 Normal FALSE left NA NA 1 35 - 223 Normal FALSE center NA NA 1 35 - 224 Normal FALSE center NA NA 1 35 - 225 Normal FALSE center NA NA 1 35 - 226 Normal FALSE center NA NA 1 35 - 227 Normal FALSE center NA NA 1 35 - 228 Normal FALSE center NA NA 1 35 - 229 Normal FALSE left NA NA 1 36 - 230 Normal FALSE center NA NA 1 36 - 231 Normal FALSE center NA NA 1 36 - 232 Normal FALSE center NA NA 1 36 - 233 Normal FALSE center NA NA 1 36 - 234 Normal FALSE center NA NA 1 36 - 235 Normal FALSE center NA NA 1 36 - 236 Normal FALSE left NA NA 1 37 - 237 Normal FALSE center NA NA 1 37 - 238 Normal FALSE center NA NA 1 37 - 239 Normal FALSE center NA NA 1 37 - 240 Normal FALSE center NA NA 1 37 - 241 Normal FALSE center NA NA 1 37 - 242 Normal FALSE center NA NA 1 37 - 243 Normal FALSE left NA NA 1 38 - 244 Normal FALSE center NA NA 1 38 - 245 Normal FALSE center NA NA 1 38 - 246 Normal FALSE center NA NA 1 38 - 247 Normal FALSE center NA NA 1 38 - 248 Normal FALSE center NA NA 1 38 - 249 Normal FALSE center NA NA 1 38 - 250 Normal FALSE left NA NA 1 39 - 251 Normal FALSE center NA NA 1 39 - 252 Normal FALSE center NA NA 1 39 - 253 Normal FALSE center NA NA 1 39 - 254 Normal FALSE center NA NA 1 39 - 255 Normal FALSE center NA NA 1 39 - 256 Normal FALSE center NA NA 1 39 - 257 Normal FALSE left NA NA 1 40 - 258 Normal FALSE left NA NA 1 40 - 259 Normal FALSE left NA NA 1 40 - 260 Normal FALSE left NA NA 1 40 - cell_id col_span row_span is_header table_stylename - 1 1 7 1 TRUE - 2 1 7 1 TRUE - 3 1 7 1 TRUE - 4 1 1 1 TRUE - 5 2 6 1 TRUE - 6 1 1 1 TRUE - 7 2 3 1 TRUE - 8 5 3 1 TRUE - 9 1 1 1 TRUE - 10 2 3 1 TRUE - 11 5 3 1 TRUE - 12 1 1 1 TRUE - 13 2 1 1 TRUE - 14 3 1 1 TRUE - 15 4 1 1 TRUE - 16 5 1 1 TRUE - 17 6 1 1 TRUE - 18 7 1 1 TRUE - 19 1 1 1 FALSE - 20 2 1 1 FALSE - 21 3 1 1 FALSE - 22 4 1 1 FALSE - 23 5 1 1 FALSE - 24 6 1 1 FALSE - 25 7 1 1 FALSE - 26 1 1 1 FALSE - 27 2 1 1 FALSE - 28 3 1 1 FALSE - 29 4 1 1 FALSE - 30 5 1 1 FALSE - 31 6 1 1 FALSE - 32 7 1 1 FALSE - 33 1 1 1 FALSE - 34 2 1 1 FALSE - 35 3 1 1 FALSE - 36 4 1 1 FALSE - 37 5 1 1 FALSE - 38 6 1 1 FALSE - 39 7 1 1 FALSE - 40 1 1 1 FALSE - 41 2 1 1 FALSE - 42 3 1 1 FALSE - 43 4 1 1 FALSE - 44 5 1 1 FALSE - 45 6 1 1 FALSE - 46 7 1 1 FALSE - 47 1 1 1 FALSE - 48 2 1 1 FALSE - 49 3 1 1 FALSE - 50 4 1 1 FALSE - 51 5 1 1 FALSE - 52 6 1 1 FALSE - 53 7 1 1 FALSE - 54 1 1 1 FALSE - 55 2 1 1 FALSE - 56 3 1 1 FALSE - 57 4 1 1 FALSE - 58 5 1 1 FALSE - 59 6 1 1 FALSE - 60 7 1 1 FALSE - 61 1 1 1 FALSE - 62 2 1 1 FALSE - 63 3 1 1 FALSE - 64 4 1 1 FALSE - 65 5 1 1 FALSE - 66 6 1 1 FALSE - 67 7 1 1 FALSE - 68 1 1 1 FALSE - 69 2 1 1 FALSE - 70 3 1 1 FALSE - 71 4 1 1 FALSE - 72 5 1 1 FALSE - 73 6 1 1 FALSE - 74 7 1 1 FALSE - 75 1 1 1 FALSE - 76 2 1 1 FALSE - 77 3 1 1 FALSE - 78 4 1 1 FALSE - 79 5 1 1 FALSE - 80 6 1 1 FALSE - 81 7 1 1 FALSE - 82 1 1 1 FALSE - 83 2 1 1 FALSE - 84 3 1 1 FALSE - 85 4 1 1 FALSE - 86 5 1 1 FALSE - 87 6 1 1 FALSE - 88 7 1 1 FALSE - 89 1 1 1 FALSE - 90 2 1 1 FALSE - 91 3 1 1 FALSE - 92 4 1 1 FALSE - 93 5 1 1 FALSE - 94 6 1 1 FALSE - 95 7 1 1 FALSE - 96 1 1 1 FALSE - 97 2 1 1 FALSE - 98 3 1 1 FALSE - 99 4 1 1 FALSE - 100 5 1 1 FALSE - 101 6 1 1 FALSE - 102 7 1 1 FALSE - 103 1 1 1 FALSE - 104 2 1 1 FALSE - 105 3 1 1 FALSE - 106 4 1 1 FALSE - 107 5 1 1 FALSE - 108 6 1 1 FALSE - 109 7 1 1 FALSE - 110 1 1 1 FALSE - 111 2 1 1 FALSE - 112 3 1 1 FALSE - 113 4 1 1 FALSE - 114 5 1 1 FALSE - 115 6 1 1 FALSE - 116 7 1 1 FALSE - 117 1 1 1 FALSE - 118 2 1 1 FALSE - 119 3 1 1 FALSE - 120 4 1 1 FALSE - 121 5 1 1 FALSE - 122 6 1 1 FALSE - 123 7 1 1 FALSE - 124 1 1 1 FALSE - 125 2 1 1 FALSE - 126 3 1 1 FALSE - 127 4 1 1 FALSE - 128 5 1 1 FALSE - 129 6 1 1 FALSE - 130 7 1 1 FALSE - 131 1 1 1 FALSE - 132 2 1 1 FALSE - 133 3 1 1 FALSE - 134 4 1 1 FALSE - 135 5 1 1 FALSE - 136 6 1 1 FALSE - 137 7 1 1 FALSE - 138 1 1 1 FALSE - 139 2 1 1 FALSE - 140 3 1 1 FALSE - 141 4 1 1 FALSE - 142 5 1 1 FALSE - 143 6 1 1 FALSE - 144 7 1 1 FALSE - 145 1 1 1 FALSE - 146 2 1 1 FALSE - 147 3 1 1 FALSE - 148 4 1 1 FALSE - 149 5 1 1 FALSE - 150 6 1 1 FALSE - 151 7 1 1 FALSE - 152 1 1 1 FALSE - 153 2 1 1 FALSE - 154 3 1 1 FALSE - 155 4 1 1 FALSE - 156 5 1 1 FALSE - 157 6 1 1 FALSE - 158 7 1 1 FALSE - 159 1 1 1 FALSE - 160 2 1 1 FALSE - 161 3 1 1 FALSE - 162 4 1 1 FALSE - 163 5 1 1 FALSE - 164 6 1 1 FALSE - 165 7 1 1 FALSE - 166 1 1 1 FALSE - 167 2 1 1 FALSE - 168 3 1 1 FALSE - 169 4 1 1 FALSE - 170 5 1 1 FALSE - 171 6 1 1 FALSE - 172 7 1 1 FALSE - 173 1 1 1 FALSE - 174 2 1 1 FALSE - 175 3 1 1 FALSE - 176 4 1 1 FALSE - 177 5 1 1 FALSE - 178 6 1 1 FALSE - 179 7 1 1 FALSE - 180 1 1 1 FALSE - 181 2 1 1 FALSE - 182 3 1 1 FALSE - 183 4 1 1 FALSE - 184 5 1 1 FALSE - 185 6 1 1 FALSE - 186 7 1 1 FALSE - 187 1 1 1 FALSE - 188 2 1 1 FALSE - 189 3 1 1 FALSE - 190 4 1 1 FALSE - 191 5 1 1 FALSE - 192 6 1 1 FALSE - 193 7 1 1 FALSE - 194 1 1 1 FALSE - 195 2 1 1 FALSE - 196 3 1 1 FALSE - 197 4 1 1 FALSE - 198 5 1 1 FALSE - 199 6 1 1 FALSE - 200 7 1 1 FALSE - 201 1 1 1 FALSE - 202 2 1 1 FALSE - 203 3 1 1 FALSE - 204 4 1 1 FALSE - 205 5 1 1 FALSE - 206 6 1 1 FALSE - 207 7 1 1 FALSE - 208 1 1 1 FALSE - 209 2 1 1 FALSE - 210 3 1 1 FALSE - 211 4 1 1 FALSE - 212 5 1 1 FALSE - 213 6 1 1 FALSE - 214 7 1 1 FALSE - 215 1 1 1 FALSE - 216 2 1 1 FALSE - 217 3 1 1 FALSE - 218 4 1 1 FALSE - 219 5 1 1 FALSE - 220 6 1 1 FALSE - 221 7 1 1 FALSE - 222 1 1 1 FALSE - 223 2 1 1 FALSE - 224 3 1 1 FALSE - 225 4 1 1 FALSE - 226 5 1 1 FALSE - 227 6 1 1 FALSE - 228 7 1 1 FALSE - 229 1 1 1 FALSE - 230 2 1 1 FALSE - 231 3 1 1 FALSE - 232 4 1 1 FALSE - 233 5 1 1 FALSE - 234 6 1 1 FALSE - 235 7 1 1 FALSE - 236 1 1 1 FALSE - 237 2 1 1 FALSE - 238 3 1 1 FALSE - 239 4 1 1 FALSE - 240 5 1 1 FALSE - 241 6 1 1 FALSE - 242 7 1 1 FALSE - 243 1 1 1 FALSE - 244 2 1 1 FALSE - 245 3 1 1 FALSE - 246 4 1 1 FALSE - 247 5 1 1 FALSE - 248 6 1 1 FALSE - 249 7 1 1 FALSE - 250 1 1 1 FALSE - 251 2 1 1 FALSE - 252 3 1 1 FALSE - 253 4 1 1 FALSE - 254 5 1 1 FALSE - 255 6 1 1 FALSE - 256 7 1 1 FALSE - 257 1 7 1 FALSE - 258 1 7 1 FALSE - 259 1 7 1 FALSE - 260 1 7 1 FALSE - ---- - - Code - officer::docx_summary(x = doc, detailed = detailed) - Output - doc_index content_type run_index run_content_index - 1 1 table cell 1 1 - 2 1 table cell 2 1 - 3 1 table cell 3 1 - 4 2 table cell 1 1 - 5 3 table cell 1 1 - 6 4 table cell 1 1 - 7 5 table cell 1 1 - 8 6 table cell 1 1 - 9 7 table cell 1 1 - 10 8 table cell 1 1 - 11 9 table cell 1 1 - 12 10 table cell 1 1 - 13 11 table cell 1 1 - 14 12 table cell 1 1 - 15 13 table cell 1 1 - 16 14 table cell 1 1 - 17 15 table cell 1 1 - 18 16 table cell 1 1 - 19 17 table cell 1 1 - 20 18 table cell 1 1 - 21 19 table cell 1 1 - 22 20 table cell 1 1 - 23 21 table cell 1 1 - 24 22 table cell 1 1 - 25 23 table cell 1 1 - 26 24 table cell 1 1 - 27 25 table cell 1 1 - 28 26 table cell 1 1 - 29 27 table cell 1 1 - 30 28 table cell 1 1 - 31 29 table cell 1 1 - 32 30 table cell 1 1 - 33 31 table cell 1 1 - 34 32 table cell 1 1 - 35 33 table cell 1 1 - 36 34 table cell 1 1 - 37 35 table cell 1 1 - 38 36 table cell 1 1 - 39 37 table cell 1 1 - 40 38 table cell 1 1 - 41 39 table cell 1 1 - 42 40 table cell 1 1 - 43 41 table cell 1 1 - 44 42 table cell 1 1 - 45 43 table cell 1 1 - 46 44 table cell 1 1 - 47 45 table cell 1 1 - 48 46 table cell 1 1 - 49 47 table cell 1 1 - 50 48 table cell 1 1 - 51 49 table cell 1 1 - 52 50 table cell 1 1 - 53 51 table cell 1 1 - 54 52 table cell 1 1 - 55 53 table cell 1 1 - 56 54 table cell 1 1 - 57 55 table cell 1 1 - 58 56 table cell 1 1 - 59 57 table cell 1 1 - 60 58 table cell 1 1 - 61 59 table cell 1 1 - 62 60 table cell 1 1 - 63 61 table cell 1 1 - 64 62 table cell 1 1 - 65 63 table cell 1 1 - 66 64 table cell 1 1 - 67 65 table cell 1 1 - 68 66 table cell 1 1 - 69 67 table cell 1 1 - 70 68 table cell 1 1 - 71 69 table cell 1 1 - 72 70 table cell 1 1 - 73 71 table cell 1 1 - 74 72 table cell 1 1 - 75 73 table cell 1 1 - 76 74 table cell 1 1 - 77 75 table cell 1 1 - 78 76 table cell 1 1 - 79 77 table cell 1 1 - 80 78 table cell 1 1 - 81 79 table cell 1 1 - 82 80 table cell 1 1 - 83 81 table cell 1 1 - 84 82 table cell 1 1 - 85 83 table cell 1 1 - 86 84 table cell 1 1 - 87 85 table cell 1 1 - 88 86 table cell 1 1 - 89 87 table cell 1 1 - 90 88 table cell 1 1 - 91 89 table cell 1 1 - 92 90 table cell 1 1 - 93 91 table cell 1 1 - 94 92 table cell 1 1 - 95 93 table cell 1 1 - 96 94 table cell 1 1 - 97 95 table cell 1 1 - 98 96 table cell 1 1 - 99 97 table cell 1 1 - 100 98 table cell 1 1 - 101 99 table cell 1 1 - 102 100 table cell 1 1 - 103 101 table cell 1 1 - 104 102 table cell 1 1 - 105 103 table cell 1 1 - 106 104 table cell 1 1 - 107 105 table cell 1 1 - 108 106 table cell 1 1 - 109 107 table cell 1 1 - 110 108 table cell 1 1 - 111 109 table cell 1 1 - 112 110 table cell 1 1 - 113 111 table cell 1 1 - 114 112 table cell 1 1 - 115 113 table cell 1 1 - 116 114 table cell 1 1 - 117 115 table cell 1 1 - 118 116 table cell 1 1 - 119 117 table cell 1 1 - 120 118 table cell 1 1 - 121 119 table cell 1 1 - 122 120 table cell 1 1 - 123 121 table cell 1 1 - 124 122 table cell 1 1 - 125 123 table cell 1 1 - 126 124 table cell 1 1 - 127 125 table cell 1 1 - 128 126 table cell 1 1 - 129 127 table cell 1 1 - 130 128 table cell 1 1 - 131 129 table cell 1 1 - 132 130 table cell 1 1 - 133 131 table cell 1 1 - 134 132 table cell 1 1 - 135 133 table cell 1 1 - 136 134 table cell 1 1 - 137 135 table cell 1 1 - 138 136 table cell 1 1 - 139 137 table cell 1 1 - 140 138 table cell 1 1 - 141 139 table cell 1 1 - 142 140 table cell 1 1 - 143 141 table cell 1 1 - 144 142 table cell 1 1 - 145 143 table cell 1 1 - 146 144 table cell 1 1 - 147 145 table cell 1 1 - 148 146 table cell 1 1 - 149 147 table cell 1 1 - 150 148 table cell 1 1 - 151 149 table cell 1 1 - 152 150 table cell 1 1 - 153 151 table cell 1 1 - 154 152 table cell 1 1 - 155 153 table cell 1 1 - 156 154 table cell 1 1 - 157 155 table cell 1 1 - 158 156 table cell 1 1 - 159 157 table cell 1 1 - 160 158 table cell 1 1 - 161 159 table cell 1 1 - 162 160 table cell 1 1 - 163 161 table cell 1 1 - 164 162 table cell 1 1 - 165 163 table cell 1 1 - 166 164 table cell 1 1 - 167 165 table cell 1 1 - 168 166 table cell 1 1 - 169 167 table cell 1 1 - 170 168 table cell 1 1 - 171 169 table cell 1 1 - 172 170 table cell 1 1 - 173 171 table cell 1 1 - 174 172 table cell 1 1 - 175 173 table cell 1 1 - 176 174 table cell 1 1 - 177 175 table cell 1 1 - 178 176 table cell 1 1 - 179 177 table cell 1 1 - 180 178 table cell 1 1 - 181 179 table cell 1 1 - 182 180 table cell 1 1 - 183 181 table cell 1 1 - 184 182 table cell 1 1 - 185 183 table cell 1 1 - 186 184 table cell 1 1 - 187 185 table cell 1 1 - 188 186 table cell 1 1 - 189 187 table cell 1 1 - 190 188 table cell 1 1 - 191 189 table cell 1 1 - 192 190 table cell 1 1 - 193 191 table cell 1 1 - 194 192 table cell 1 1 - 195 193 table cell 1 1 - 196 194 table cell 1 1 - 197 195 table cell 1 1 - 198 196 table cell 1 1 - 199 197 table cell 1 1 - 200 198 table cell 1 1 - 201 199 table cell 1 1 - 202 200 table cell 1 1 - 203 201 table cell 1 1 - 204 202 table cell 1 1 - 205 203 table cell 1 1 - 206 204 table cell 1 1 - 207 205 table cell 1 1 - 208 206 table cell 1 1 - 209 207 table cell 1 1 - 210 208 table cell 1 1 - 211 209 table cell 1 1 - 212 210 table cell 1 1 - 213 211 table cell 1 1 - 214 212 table cell 1 1 - 215 213 table cell 1 1 - 216 214 table cell 1 1 - 217 215 table cell 1 1 - 218 216 table cell 1 1 - 219 217 table cell 1 1 - 220 218 table cell 1 1 - 221 219 table cell 1 1 - 222 220 table cell 1 1 - 223 221 table cell 1 1 - 224 222 table cell 1 1 - 225 223 table cell 1 1 - 226 223 table cell 2 1 - 227 223 table cell 3 1 - 228 223 table cell 4 1 - run_content_text image_path field_code footnote_text - 1 test1234part2of2: - 2 \t - 3 This is the main Title - 4 - 5 - 6 Difference in Mean Change (95% CI) - 7 - 8 B: Placebo - 9 A: Drug X vs B: Placebo - 10 C: Combination vs B: Placebo - 11 Laboratory Test - 12 N=134 - 13 N=134 - 14 N=132 - 15 Study Visit - 16 n/N (%) - 17 Mean (95% CI) - 18 Mean Change From Baseline (95% CI) - 19 - 20 - 21 Age: < 35 years - 22 134 - 23 - 24 - 25 - 26 - 27 - 28 - 29 - 30 - 31 - 32 - 33 Alanine Aminotransferase Measurement - 34 - 35 - 36 - 37 - 38 - 39 BASELINE - 40 65/65 (100.0%) - 41 49.7 (47.7, 51.7) - 42 0.0 (0.0, 0.0) - 43 0.0 (NE, NE) - 44 0.0 (NE, NE) - 45 WEEK 1 DAY 8 - 46 65/65 (100.0%) - 47 49.9 (48.3, 51.5) - 48 0.2 (-2.6, 3.0) - 49 -1.1 (-5.1, 2.8) - 50 -0.9 (-4.6, 2.9) - 51 WEEK 2 DAY 15 - 52 65/65 (100.0%) - 53 49.4 (47.1, 51.6) - 54 -0.4 (-3.6, 2.9) - 55 0.7 (-3.5, 5.0) - 56 -2.4 (-6.6, 1.7) - 57 WEEK 3 DAY 22 - 58 65/65 (100.0%) - 59 49.6 (47.7, 51.5) - 60 -0.1 (-2.8, 2.5) - 61 0.1 (-3.6, 3.8) - 62 -1.4 (-5.2, 2.3) - 63 WEEK 4 DAY 29 - 64 65/65 (100.0%) - 65 49.4 (47.3, 51.4) - 66 -0.3 (-3.1, 2.5) - 67 1.1 (-2.9, 5.0) - 68 -1.2 (-5.0, 2.6) - 69 WEEK 5 DAY 36 - 70 65/65 (100.0%) - 71 49.1 (47.1, 51.1) - 72 -0.6 (-3.7, 2.4) - 73 1.4 (-2.8, 5.5) - 74 -0.5 (-4.7, 3.6) - 75 - 76 - 77 - 78 - 79 - 80 - 81 C-Reactive Protein Measurement - 82 - 83 - 84 - 85 - 86 - 87 BASELINE - 88 65/65 (100.0%) - 89 48.7 (46.7, 50.7) - 90 0.0 (0.0, 0.0) - 91 0.0 (NE, NE) - 92 0.0 (NE, NE) - 93 WEEK 1 DAY 8 - 94 65/65 (100.0%) - 95 50.3 (48.1, 52.6) - 96 1.6 (-1.4, 4.7) - 97 0.3 (-4.0, 4.7) - 98 -1.4 (-5.7, 2.9) - 99 WEEK 2 DAY 15 - 100 65/65 (100.0%) - 101 50.9 (49.1, 52.8) - 102 2.2 (-0.5, 4.9) - 103 -2.2 (-6.2, 1.8) - 104 -2.8 (-6.6, 1.0) - 105 WEEK 3 DAY 22 - 106 65/65 (100.0%) - 107 49.1 (47.2, 51.1) - 108 0.4 (-2.3, 3.2) - 109 -0.4 (-4.5, 3.7) - 110 -1.6 (-5.6, 2.4) - 111 WEEK 4 DAY 29 - 112 65/65 (100.0%) - 113 49.0 (47.0, 51.0) - 114 0.3 (-2.5, 3.1) - 115 1.6 (-2.6, 5.8) - 116 -1.0 (-5.2, 3.2) - 117 WEEK 5 DAY 36 - 118 65/65 (100.0%) - 119 51.1 (49.3, 52.9) - 120 2.4 (-0.4, 5.2) - 121 -1.4 (-5.7, 2.9) - 122 -4.0 (-8.0, -0.1) - 123 Age: ≥ 35 years - 124 134 - 125 - 126 - 127 - 128 - 129 - 130 - 131 - 132 - 133 - 134 - 135 Alanine Aminotransferase Measurement - 136 - 137 - 138 - 139 - 140 - 141 BASELINE - 142 69/69 (100.0%) - 143 50.9 (48.8, 52.9) - 144 0.0 (0.0, 0.0) - 145 0.0 (NE, NE) - 146 0.0 (NE, NE) - 147 WEEK 1 DAY 8 - 148 69/69 (100.0%) - 149 50.9 (48.8, 53.1) - 150 0.1 (-3.0, 3.2) - 151 -1.1 (-5.3, 3.1) - 152 0.9 (-3.2, 5.0) - 153 WEEK 2 DAY 15 - 154 69/69 (100.0%) - 155 51.1 (49.2, 52.9) - 156 0.2 (-2.6, 3.1) - 157 -1.1 (-5.4, 3.1) - 158 -2.3 (-6.2, 1.7) - 159 WEEK 3 DAY 22 - 160 69/69 (100.0%) - 161 49.8 (47.9, 51.6) - 162 -1.1 (-3.9, 1.7) - 163 2.7 (-1.4, 6.9) - 164 -1.4 (-5.3, 2.5) - 165 WEEK 4 DAY 29 - 166 69/69 (100.0%) - 167 49.2 (47.0, 51.3) - 168 -1.7 (-5.0, 1.6) - 169 3.4 (-1.5, 8.3) - 170 0.7 (-3.5, 4.9) - 171 WEEK 5 DAY 36 - 172 69/69 (100.0%) - 173 50.3 (48.2, 52.4) - 174 -0.6 (-3.7, 2.6) - 175 2.5 (-1.8, 6.8) - 176 -0.1 (-4.2, 3.9) - 177 - 178 - 179 - 180 - 181 - 182 - 183 C-Reactive Protein Measurement - 184 - 185 - 186 - 187 - 188 - 189 BASELINE - 190 69/69 (100.0%) - 191 51.4 (49.5, 53.2) - 192 0.0 (0.0, 0.0) - 193 0.0 (NE, NE) - 194 0.0 (NE, NE) - 195 WEEK 1 DAY 8 - 196 69/69 (100.0%) - 197 50.2 (48.2, 52.3) - 198 -1.2 (-3.8, 1.4) - 199 5.4 (1.7, 9.0) - 200 1.1 (-3.1, 5.3) - 201 WEEK 2 DAY 15 - 202 69/69 (100.0%) - 203 50.8 (49.1, 52.6) - 204 -0.5 (-3.0, 1.9) - 205 2.4 (-1.6, 6.3) - 206 -1.0 (-4.7, 2.7) - 207 WEEK 3 DAY 22 - 208 69/69 (100.0%) - 209 49.4 (47.7, 51.1) - 210 -2.0 (-4.4, 0.4) - 211 4.6 (1.0, 8.2) - 212 2.3 (-1.5, 6.1) - 213 WEEK 4 DAY 29 - 214 69/69 (100.0%) - 215 49.9 (47.9, 52.0) - 216 -1.4 (-4.0, 1.2) - 217 5.1 (1.5, 8.8) - 218 1.2 (-2.4, 4.9) - 219 WEEK 5 DAY 36 - 220 69/69 (100.0%) - 221 50.6 (48.7, 52.5) - 222 -0.8 (-3.5, 1.9) - 223 1.2 (-2.8, 5.3) - 224 0.1 (-3.8, 4.0) - 225 \n - 226 footer 1 - 227 \n - 228 footer 2 - link link_to_bookmark bookmark_start character_stylename sz sz_cs - 1 20 20 - 2 20 20 - 3 20 20 - 4 18 18 - 5 18 18 - 6 18 18 - 7 18 18 - 8 18 18 - 9 18 18 - 10 18 18 - 11 18 18 - 12 18 18 - 13 18 18 - 14 18 18 - 15 18 18 - 16 18 18 - 17 18 18 - 18 18 18 - 19 18 18 - 20 18 18 - 21 18 18 - 22 18 18 - 23 18 18 - 24 18 18 - 25 18 18 - 26 18 18 - 27 18 18 - 28 18 18 - 29 18 18 - 30 18 18 - 31 18 18 - 32 18 18 - 33 18 18 - 34 18 18 - 35 18 18 - 36 18 18 - 37 18 18 - 38 18 18 - 39 18 18 - 40 18 18 - 41 18 18 - 42 18 18 - 43 18 18 - 44 18 18 - 45 18 18 - 46 18 18 - 47 18 18 - 48 18 18 - 49 18 18 - 50 18 18 - 51 18 18 - 52 18 18 - 53 18 18 - 54 18 18 - 55 18 18 - 56 18 18 - 57 18 18 - 58 18 18 - 59 18 18 - 60 18 18 - 61 18 18 - 62 18 18 - 63 18 18 - 64 18 18 - 65 18 18 - 66 18 18 - 67 18 18 - 68 18 18 - 69 18 18 - 70 18 18 - 71 18 18 - 72 18 18 - 73 18 18 - 74 18 18 - 75 18 18 - 76 18 18 - 77 18 18 - 78 18 18 - 79 18 18 - 80 18 18 - 81 18 18 - 82 18 18 - 83 18 18 - 84 18 18 - 85 18 18 - 86 18 18 - 87 18 18 - 88 18 18 - 89 18 18 - 90 18 18 - 91 18 18 - 92 18 18 - 93 18 18 - 94 18 18 - 95 18 18 - 96 18 18 - 97 18 18 - 98 18 18 - 99 18 18 - 100 18 18 - 101 18 18 - 102 18 18 - 103 18 18 - 104 18 18 - 105 18 18 - 106 18 18 - 107 18 18 - 108 18 18 - 109 18 18 - 110 18 18 - 111 18 18 - 112 18 18 - 113 18 18 - 114 18 18 - 115 18 18 - 116 18 18 - 117 18 18 - 118 18 18 - 119 18 18 - 120 18 18 - 121 18 18 - 122 18 18 - 123 18 18 - 124 18 18 - 125 18 18 - 126 18 18 - 127 18 18 - 128 18 18 - 129 18 18 - 130 18 18 - 131 18 18 - 132 18 18 - 133 18 18 - 134 18 18 - 135 18 18 - 136 18 18 - 137 18 18 - 138 18 18 - 139 18 18 - 140 18 18 - 141 18 18 - 142 18 18 - 143 18 18 - 144 18 18 - 145 18 18 - 146 18 18 - 147 18 18 - 148 18 18 - 149 18 18 - 150 18 18 - 151 18 18 - 152 18 18 - 153 18 18 - 154 18 18 - 155 18 18 - 156 18 18 - 157 18 18 - 158 18 18 - 159 18 18 - 160 18 18 - 161 18 18 - 162 18 18 - 163 18 18 - 164 18 18 - 165 18 18 - 166 18 18 - 167 18 18 - 168 18 18 - 169 18 18 - 170 18 18 - 171 18 18 - 172 18 18 - 173 18 18 - 174 18 18 - 175 18 18 - 176 18 18 - 177 18 18 - 178 18 18 - 179 18 18 - 180 18 18 - 181 18 18 - 182 18 18 - 183 18 18 - 184 18 18 - 185 18 18 - 186 18 18 - 187 18 18 - 188 18 18 - 189 18 18 - 190 18 18 - 191 18 18 - 192 18 18 - 193 18 18 - 194 18 18 - 195 18 18 - 196 18 18 - 197 18 18 - 198 18 18 - 199 18 18 - 200 18 18 - 201 18 18 - 202 18 18 - 203 18 18 - 204 18 18 - 205 18 18 - 206 18 18 - 207 18 18 - 208 18 18 - 209 18 18 - 210 18 18 - 211 18 18 - 212 18 18 - 213 18 18 - 214 18 18 - 215 18 18 - 216 18 18 - 217 18 18 - 218 18 18 - 219 18 18 - 220 18 18 - 221 18 18 - 222 18 18 - 223 18 18 - 224 18 18 - 225 18 18 - 226 18 18 - 227 18 18 - 228 18 18 - font_family_ascii font_family_eastasia font_family_hansi font_family_cs - 1 Times New Roman Times New Roman Times New Roman Times New Roman - 2 Times New Roman Times New Roman Times New Roman Times New Roman - 3 Times New Roman Times New Roman Times New Roman Times New Roman - 4 Times New Roman Times New Roman Times New Roman Times New Roman - 5 Times New Roman Times New Roman Times New Roman Times New Roman - 6 Times New Roman Times New Roman Times New Roman Times New Roman - 7 Times New Roman Times New Roman Times New Roman Times New Roman - 8 Times New Roman Times New Roman Times New Roman Times New Roman - 9 Times New Roman Times New Roman Times New Roman Times New Roman - 10 Times New Roman Times New Roman Times New Roman Times New Roman - 11 Times New Roman Times New Roman Times New Roman Times New Roman - 12 Times New Roman Times New Roman Times New Roman Times New Roman - 13 Times New Roman Times New Roman Times New Roman Times New Roman - 14 Times New Roman Times New Roman Times New Roman Times New Roman - 15 Times New Roman Times New Roman Times New Roman Times New Roman - 16 Times New Roman Times New Roman Times New Roman Times New Roman - 17 Times New Roman Times New Roman Times New Roman Times New Roman - 18 Times New Roman Times New Roman Times New Roman Times New Roman - 19 Times New Roman Times New Roman Times New Roman Times New Roman - 20 Times New Roman Times New Roman Times New Roman Times New Roman - 21 Times New Roman Times New Roman Times New Roman Times New Roman - 22 Times New Roman Times New Roman Times New Roman Times New Roman - 23 Times New Roman Times New Roman Times New Roman Times New Roman - 24 Times New Roman Times New Roman Times New Roman Times New Roman - 25 Times New Roman Times New Roman Times New Roman Times New Roman - 26 Times New Roman Times New Roman Times New Roman Times New Roman - 27 Times New Roman Times New Roman Times New Roman Times New Roman - 28 Times New Roman Times New Roman Times New Roman Times New Roman - 29 Times New Roman Times New Roman Times New Roman Times New Roman - 30 Times New Roman Times New Roman Times New Roman Times New Roman - 31 Times New Roman Times New Roman Times New Roman Times New Roman - 32 Times New Roman Times New Roman Times New Roman Times New Roman - 33 Times New Roman Times New Roman Times New Roman Times New Roman - 34 Times New Roman Times New Roman Times New Roman Times New Roman - 35 Times New Roman Times New Roman Times New Roman Times New Roman - 36 Times New Roman Times New Roman Times New Roman Times New Roman - 37 Times New Roman Times New Roman Times New Roman Times New Roman - 38 Times New Roman Times New Roman Times New Roman Times New Roman - 39 Times New Roman Times New Roman Times New Roman Times New Roman - 40 Times New Roman Times New Roman Times New Roman Times New Roman - 41 Times New Roman Times New Roman Times New Roman Times New Roman - 42 Times New Roman Times New Roman Times New Roman Times New Roman - 43 Times New Roman Times New Roman Times New Roman Times New Roman - 44 Times New Roman Times New Roman Times New Roman Times New Roman - 45 Times New Roman Times New Roman Times New Roman Times New Roman - 46 Times New Roman Times New Roman Times New Roman Times New Roman - 47 Times New Roman Times New Roman Times New Roman Times New Roman - 48 Times New Roman Times New Roman Times New Roman Times New Roman - 49 Times New Roman Times New Roman Times New Roman Times New Roman - 50 Times New Roman Times New Roman Times New Roman Times New Roman - 51 Times New Roman Times New Roman Times New Roman Times New Roman - 52 Times New Roman Times New Roman Times New Roman Times New Roman - 53 Times New Roman Times New Roman Times New Roman Times New Roman - 54 Times New Roman Times New Roman Times New Roman Times New Roman - 55 Times New Roman Times New Roman Times New Roman Times New Roman - 56 Times New Roman Times New Roman Times New Roman Times New Roman - 57 Times New Roman Times New Roman Times New Roman Times New Roman - 58 Times New Roman Times New Roman Times New Roman Times New Roman - 59 Times New Roman Times New Roman Times New Roman Times New Roman - 60 Times New Roman Times New Roman Times New Roman Times New Roman - 61 Times New Roman Times New Roman Times New Roman Times New Roman - 62 Times New Roman Times New Roman Times New Roman Times New Roman - 63 Times New Roman Times New Roman Times New Roman Times New Roman - 64 Times New Roman Times New Roman Times New Roman Times New Roman - 65 Times New Roman Times New Roman Times New Roman Times New Roman - 66 Times New Roman Times New Roman Times New Roman Times New Roman - 67 Times New Roman Times New Roman Times New Roman Times New Roman - 68 Times New Roman Times New Roman Times New Roman Times New Roman - 69 Times New Roman Times New Roman Times New Roman Times New Roman - 70 Times New Roman Times New Roman Times New Roman Times New Roman - 71 Times New Roman Times New Roman Times New Roman Times New Roman - 72 Times New Roman Times New Roman Times New Roman Times New Roman - 73 Times New Roman Times New Roman Times New Roman Times New Roman - 74 Times New Roman Times New Roman Times New Roman Times New Roman - 75 Times New Roman Times New Roman Times New Roman Times New Roman - 76 Times New Roman Times New Roman Times New Roman Times New Roman - 77 Times New Roman Times New Roman Times New Roman Times New Roman - 78 Times New Roman Times New Roman Times New Roman Times New Roman - 79 Times New Roman Times New Roman Times New Roman Times New Roman - 80 Times New Roman Times New Roman Times New Roman Times New Roman - 81 Times New Roman Times New Roman Times New Roman Times New Roman - 82 Times New Roman Times New Roman Times New Roman Times New Roman - 83 Times New Roman Times New Roman Times New Roman Times New Roman - 84 Times New Roman Times New Roman Times New Roman Times New Roman - 85 Times New Roman Times New Roman Times New Roman Times New Roman - 86 Times New Roman Times New Roman Times New Roman Times New Roman - 87 Times New Roman Times New Roman Times New Roman Times New Roman - 88 Times New Roman Times New Roman Times New Roman Times New Roman - 89 Times New Roman Times New Roman Times New Roman Times New Roman - 90 Times New Roman Times New Roman Times New Roman Times New Roman - 91 Times New Roman Times New Roman Times New Roman Times New Roman - 92 Times New Roman Times New Roman Times New Roman Times New Roman - 93 Times New Roman Times New Roman Times New Roman Times New Roman - 94 Times New Roman Times New Roman Times New Roman Times New Roman - 95 Times New Roman Times New Roman Times New Roman Times New Roman - 96 Times New Roman Times New Roman Times New Roman Times New Roman - 97 Times New Roman Times New Roman Times New Roman Times New Roman - 98 Times New Roman Times New Roman Times New Roman Times New Roman - 99 Times New Roman Times New Roman Times New Roman Times New Roman - 100 Times New Roman Times New Roman Times New Roman Times New Roman - 101 Times New Roman Times New Roman Times New Roman Times New Roman - 102 Times New Roman Times New Roman Times New Roman Times New Roman - 103 Times New Roman Times New Roman Times New Roman Times New Roman - 104 Times New Roman Times New Roman Times New Roman Times New Roman - 105 Times New Roman Times New Roman Times New Roman Times New Roman - 106 Times New Roman Times New Roman Times New Roman Times New Roman - 107 Times New Roman Times New Roman Times New Roman Times New Roman - 108 Times New Roman Times New Roman Times New Roman Times New Roman - 109 Times New Roman Times New Roman Times New Roman Times New Roman - 110 Times New Roman Times New Roman Times New Roman Times New Roman - 111 Times New Roman Times New Roman Times New Roman Times New Roman - 112 Times New Roman Times New Roman Times New Roman Times New Roman - 113 Times New Roman Times New Roman Times New Roman Times New Roman - 114 Times New Roman Times New Roman Times New Roman Times New Roman - 115 Times New Roman Times New Roman Times New Roman Times New Roman - 116 Times New Roman Times New Roman Times New Roman Times New Roman - 117 Times New Roman Times New Roman Times New Roman Times New Roman - 118 Times New Roman Times New Roman Times New Roman Times New Roman - 119 Times New Roman Times New Roman Times New Roman Times New Roman - 120 Times New Roman Times New Roman Times New Roman Times New Roman - 121 Times New Roman Times New Roman Times New Roman Times New Roman - 122 Times New Roman Times New Roman Times New Roman Times New Roman - 123 Times New Roman Times New Roman Times New Roman Times New Roman - 124 Times New Roman Times New Roman Times New Roman Times New Roman - 125 Times New Roman Times New Roman Times New Roman Times New Roman - 126 Times New Roman Times New Roman Times New Roman Times New Roman - 127 Times New Roman Times New Roman Times New Roman Times New Roman - 128 Times New Roman Times New Roman Times New Roman Times New Roman - 129 Times New Roman Times New Roman Times New Roman Times New Roman - 130 Times New Roman Times New Roman Times New Roman Times New Roman - 131 Times New Roman Times New Roman Times New Roman Times New Roman - 132 Times New Roman Times New Roman Times New Roman Times New Roman - 133 Times New Roman Times New Roman Times New Roman Times New Roman - 134 Times New Roman Times New Roman Times New Roman Times New Roman - 135 Times New Roman Times New Roman Times New Roman Times New Roman - 136 Times New Roman Times New Roman Times New Roman Times New Roman - 137 Times New Roman Times New Roman Times New Roman Times New Roman - 138 Times New Roman Times New Roman Times New Roman Times New Roman - 139 Times New Roman Times New Roman Times New Roman Times New Roman - 140 Times New Roman Times New Roman Times New Roman Times New Roman - 141 Times New Roman Times New Roman Times New Roman Times New Roman - 142 Times New Roman Times New Roman Times New Roman Times New Roman - 143 Times New Roman Times New Roman Times New Roman Times New Roman - 144 Times New Roman Times New Roman Times New Roman Times New Roman - 145 Times New Roman Times New Roman Times New Roman Times New Roman - 146 Times New Roman Times New Roman Times New Roman Times New Roman - 147 Times New Roman Times New Roman Times New Roman Times New Roman - 148 Times New Roman Times New Roman Times New Roman Times New Roman - 149 Times New Roman Times New Roman Times New Roman Times New Roman - 150 Times New Roman Times New Roman Times New Roman Times New Roman - 151 Times New Roman Times New Roman Times New Roman Times New Roman - 152 Times New Roman Times New Roman Times New Roman Times New Roman - 153 Times New Roman Times New Roman Times New Roman Times New Roman - 154 Times New Roman Times New Roman Times New Roman Times New Roman - 155 Times New Roman Times New Roman Times New Roman Times New Roman - 156 Times New Roman Times New Roman Times New Roman Times New Roman - 157 Times New Roman Times New Roman Times New Roman Times New Roman - 158 Times New Roman Times New Roman Times New Roman Times New Roman - 159 Times New Roman Times New Roman Times New Roman Times New Roman - 160 Times New Roman Times New Roman Times New Roman Times New Roman - 161 Times New Roman Times New Roman Times New Roman Times New Roman - 162 Times New Roman Times New Roman Times New Roman Times New Roman - 163 Times New Roman Times New Roman Times New Roman Times New Roman - 164 Times New Roman Times New Roman Times New Roman Times New Roman - 165 Times New Roman Times New Roman Times New Roman Times New Roman - 166 Times New Roman Times New Roman Times New Roman Times New Roman - 167 Times New Roman Times New Roman Times New Roman Times New Roman - 168 Times New Roman Times New Roman Times New Roman Times New Roman - 169 Times New Roman Times New Roman Times New Roman Times New Roman - 170 Times New Roman Times New Roman Times New Roman Times New Roman - 171 Times New Roman Times New Roman Times New Roman Times New Roman - 172 Times New Roman Times New Roman Times New Roman Times New Roman - 173 Times New Roman Times New Roman Times New Roman Times New Roman - 174 Times New Roman Times New Roman Times New Roman Times New Roman - 175 Times New Roman Times New Roman Times New Roman Times New Roman - 176 Times New Roman Times New Roman Times New Roman Times New Roman - 177 Times New Roman Times New Roman Times New Roman Times New Roman - 178 Times New Roman Times New Roman Times New Roman Times New Roman - 179 Times New Roman Times New Roman Times New Roman Times New Roman - 180 Times New Roman Times New Roman Times New Roman Times New Roman - 181 Times New Roman Times New Roman Times New Roman Times New Roman - 182 Times New Roman Times New Roman Times New Roman Times New Roman - 183 Times New Roman Times New Roman Times New Roman Times New Roman - 184 Times New Roman Times New Roman Times New Roman Times New Roman - 185 Times New Roman Times New Roman Times New Roman Times New Roman - 186 Times New Roman Times New Roman Times New Roman Times New Roman - 187 Times New Roman Times New Roman Times New Roman Times New Roman - 188 Times New Roman Times New Roman Times New Roman Times New Roman - 189 Times New Roman Times New Roman Times New Roman Times New Roman - 190 Times New Roman Times New Roman Times New Roman Times New Roman - 191 Times New Roman Times New Roman Times New Roman Times New Roman - 192 Times New Roman Times New Roman Times New Roman Times New Roman - 193 Times New Roman Times New Roman Times New Roman Times New Roman - 194 Times New Roman Times New Roman Times New Roman Times New Roman - 195 Times New Roman Times New Roman Times New Roman Times New Roman - 196 Times New Roman Times New Roman Times New Roman Times New Roman - 197 Times New Roman Times New Roman Times New Roman Times New Roman - 198 Times New Roman Times New Roman Times New Roman Times New Roman - 199 Times New Roman Times New Roman Times New Roman Times New Roman - 200 Times New Roman Times New Roman Times New Roman Times New Roman - 201 Times New Roman Times New Roman Times New Roman Times New Roman - 202 Times New Roman Times New Roman Times New Roman Times New Roman - 203 Times New Roman Times New Roman Times New Roman Times New Roman - 204 Times New Roman Times New Roman Times New Roman Times New Roman - 205 Times New Roman Times New Roman Times New Roman Times New Roman - 206 Times New Roman Times New Roman Times New Roman Times New Roman - 207 Times New Roman Times New Roman Times New Roman Times New Roman - 208 Times New Roman Times New Roman Times New Roman Times New Roman - 209 Times New Roman Times New Roman Times New Roman Times New Roman - 210 Times New Roman Times New Roman Times New Roman Times New Roman - 211 Times New Roman Times New Roman Times New Roman Times New Roman - 212 Times New Roman Times New Roman Times New Roman Times New Roman - 213 Times New Roman Times New Roman Times New Roman Times New Roman - 214 Times New Roman Times New Roman Times New Roman Times New Roman - 215 Times New Roman Times New Roman Times New Roman Times New Roman - 216 Times New Roman Times New Roman Times New Roman Times New Roman - 217 Times New Roman Times New Roman Times New Roman Times New Roman - 218 Times New Roman Times New Roman Times New Roman Times New Roman - 219 Times New Roman Times New Roman Times New Roman Times New Roman - 220 Times New Roman Times New Roman Times New Roman Times New Roman - 221 Times New Roman Times New Roman Times New Roman Times New Roman - 222 Times New Roman Times New Roman Times New Roman Times New Roman - 223 Times New Roman Times New Roman Times New Roman Times New Roman - 224 Times New Roman Times New Roman Times New Roman Times New Roman - 225 Times New Roman Times New Roman Times New Roman Times New Roman - 226 Times New Roman Times New Roman Times New Roman Times New Roman - 227 Times New Roman Times New Roman Times New Roman Times New Roman - 228 Times New Roman Times New Roman Times New Roman Times New Roman - bold italic underline color shading shading_color shading_fill - 1 TRUE FALSE FALSE #000000 - 2 TRUE FALSE FALSE #000000 - 3 TRUE FALSE FALSE #000000 - 4 FALSE FALSE FALSE #000000 - 5 FALSE FALSE FALSE #000000 - 6 FALSE FALSE FALSE #000000 - 7 FALSE FALSE FALSE #000000 - 8 FALSE FALSE FALSE #000000 - 9 FALSE FALSE FALSE #000000 - 10 FALSE FALSE FALSE #000000 - 11 FALSE FALSE FALSE #000000 - 12 FALSE FALSE FALSE #000000 - 13 FALSE FALSE FALSE #000000 - 14 FALSE FALSE FALSE #000000 - 15 FALSE FALSE FALSE #000000 - 16 FALSE FALSE FALSE #000000 - 17 FALSE FALSE FALSE #000000 - 18 FALSE FALSE FALSE #000000 - 19 FALSE FALSE FALSE #000000 - 20 FALSE FALSE FALSE #000000 - 21 FALSE FALSE FALSE #000000 - 22 FALSE FALSE FALSE #000000 - 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217 FALSE FALSE FALSE #000000 - 218 FALSE FALSE FALSE #000000 - 219 FALSE FALSE FALSE #000000 - 220 FALSE FALSE FALSE #000000 - 221 FALSE FALSE FALSE #000000 - 222 FALSE FALSE FALSE #000000 - 223 FALSE FALSE FALSE #000000 - 224 FALSE FALSE FALSE #000000 - 225 FALSE FALSE FALSE #000000 - 226 FALSE FALSE FALSE #000000 - 227 FALSE FALSE FALSE #000000 - 228 FALSE FALSE FALSE #000000 - paragraph_stylename keep_with_next align level num_id table_index row_id - 1 caption FALSE left NA NA 1 1 - 2 caption FALSE left NA NA 1 1 - 3 caption FALSE left NA NA 1 1 - 4 Normal FALSE left NA NA 1 2 - 5 Normal FALSE center NA NA 1 2 - 6 Normal FALSE center NA NA 1 2 - 7 Normal FALSE left NA NA 1 3 - 8 Normal FALSE center NA NA 1 3 - 9 Normal FALSE center NA NA 1 3 - 10 Normal FALSE center NA NA 1 3 - 11 Normal FALSE left NA NA 1 4 - 12 Normal FALSE center NA NA 1 4 - 13 Normal FALSE center NA NA 1 4 - 14 Normal FALSE center NA NA 1 4 - 15 Normal FALSE left NA NA 1 5 - 16 Normal FALSE center NA NA 1 5 - 17 Normal FALSE center NA NA 1 5 - 18 Normal FALSE center NA NA 1 5 - 19 Normal FALSE center NA NA 1 5 - 20 Normal FALSE center NA NA 1 5 - 21 Normal FALSE left NA NA 1 6 - 22 Normal FALSE center NA NA 1 6 - 23 Normal FALSE center NA NA 1 6 - 24 Normal FALSE center NA NA 1 6 - 25 Normal FALSE center NA NA 1 6 - 26 Normal FALSE center NA NA 1 6 - 27 Normal FALSE left NA NA 1 7 - 28 Normal FALSE center NA NA 1 7 - 29 Normal FALSE center NA NA 1 7 - 30 Normal FALSE center NA NA 1 7 - 31 Normal FALSE center NA NA 1 7 - 32 Normal FALSE center NA NA 1 7 - 33 Normal FALSE left NA NA 1 8 - 34 Normal FALSE center NA NA 1 8 - 35 Normal FALSE center NA NA 1 8 - 36 Normal FALSE center NA NA 1 8 - 37 Normal FALSE center NA NA 1 8 - 38 Normal FALSE center NA NA 1 8 - 39 Normal FALSE left NA NA 1 9 - 40 Normal FALSE center NA NA 1 9 - 41 Normal FALSE center NA NA 1 9 - 42 Normal FALSE center NA NA 1 9 - 43 Normal FALSE center NA NA 1 9 - 44 Normal FALSE center NA NA 1 9 - 45 Normal FALSE left NA NA 1 10 - 46 Normal FALSE center NA NA 1 10 - 47 Normal FALSE center NA NA 1 10 - 48 Normal FALSE center NA NA 1 10 - 49 Normal FALSE center NA NA 1 10 - 50 Normal FALSE center NA NA 1 10 - 51 Normal FALSE left NA NA 1 11 - 52 Normal FALSE center NA NA 1 11 - 53 Normal FALSE center NA NA 1 11 - 54 Normal FALSE center NA NA 1 11 - 55 Normal FALSE center NA NA 1 11 - 56 Normal FALSE center NA NA 1 11 - 57 Normal FALSE left NA NA 1 12 - 58 Normal FALSE center NA NA 1 12 - 59 Normal FALSE center NA NA 1 12 - 60 Normal FALSE center NA NA 1 12 - 61 Normal FALSE center NA NA 1 12 - 62 Normal FALSE center NA NA 1 12 - 63 Normal FALSE left NA NA 1 13 - 64 Normal FALSE center NA NA 1 13 - 65 Normal FALSE center NA NA 1 13 - 66 Normal FALSE center NA NA 1 13 - 67 Normal FALSE center NA NA 1 13 - 68 Normal FALSE center NA NA 1 13 - 69 Normal FALSE left NA NA 1 14 - 70 Normal FALSE center NA NA 1 14 - 71 Normal FALSE center NA NA 1 14 - 72 Normal FALSE center NA NA 1 14 - 73 Normal FALSE center NA NA 1 14 - 74 Normal FALSE center NA NA 1 14 - 75 Normal FALSE left NA NA 1 15 - 76 Normal FALSE center NA NA 1 15 - 77 Normal FALSE center NA NA 1 15 - 78 Normal FALSE center NA NA 1 15 - 79 Normal FALSE center NA NA 1 15 - 80 Normal FALSE center NA NA 1 15 - 81 Normal FALSE left NA NA 1 16 - 82 Normal FALSE center NA NA 1 16 - 83 Normal FALSE center NA NA 1 16 - 84 Normal FALSE center NA NA 1 16 - 85 Normal FALSE center NA NA 1 16 - 86 Normal FALSE center NA NA 1 16 - 87 Normal FALSE left NA NA 1 17 - 88 Normal FALSE center NA NA 1 17 - 89 Normal FALSE center NA NA 1 17 - 90 Normal FALSE center NA NA 1 17 - 91 Normal FALSE center NA NA 1 17 - 92 Normal FALSE center NA NA 1 17 - 93 Normal FALSE left NA NA 1 18 - 94 Normal FALSE center NA NA 1 18 - 95 Normal FALSE center NA NA 1 18 - 96 Normal FALSE center NA NA 1 18 - 97 Normal FALSE center NA NA 1 18 - 98 Normal FALSE center NA NA 1 18 - 99 Normal FALSE left NA NA 1 19 - 100 Normal FALSE center NA NA 1 19 - 101 Normal FALSE center NA NA 1 19 - 102 Normal FALSE center NA NA 1 19 - 103 Normal FALSE center NA NA 1 19 - 104 Normal FALSE center NA NA 1 19 - 105 Normal FALSE left NA NA 1 20 - 106 Normal FALSE center NA NA 1 20 - 107 Normal FALSE center NA NA 1 20 - 108 Normal FALSE center NA NA 1 20 - 109 Normal FALSE center NA NA 1 20 - 110 Normal FALSE center NA NA 1 20 - 111 Normal FALSE left NA NA 1 21 - 112 Normal FALSE center NA NA 1 21 - 113 Normal FALSE center NA NA 1 21 - 114 Normal FALSE center NA NA 1 21 - 115 Normal FALSE center NA NA 1 21 - 116 Normal FALSE center NA NA 1 21 - 117 Normal FALSE left NA NA 1 22 - 118 Normal FALSE center NA NA 1 22 - 119 Normal FALSE center NA NA 1 22 - 120 Normal FALSE center NA NA 1 22 - 121 Normal FALSE center NA NA 1 22 - 122 Normal FALSE center NA NA 1 22 - 123 Normal TRUE left NA NA 1 23 - 124 Normal TRUE center NA NA 1 23 - 125 Normal TRUE center NA NA 1 23 - 126 Normal TRUE center NA NA 1 23 - 127 Normal TRUE center NA NA 1 23 - 128 Normal TRUE center NA NA 1 23 - 129 Normal FALSE left NA NA 1 24 - 130 Normal FALSE center NA NA 1 24 - 131 Normal FALSE center NA NA 1 24 - 132 Normal FALSE center NA NA 1 24 - 133 Normal FALSE center NA NA 1 24 - 134 Normal FALSE center NA NA 1 24 - 135 Normal FALSE left NA NA 1 25 - 136 Normal FALSE center NA NA 1 25 - 137 Normal FALSE center NA NA 1 25 - 138 Normal FALSE center NA NA 1 25 - 139 Normal FALSE center NA NA 1 25 - 140 Normal FALSE center NA NA 1 25 - 141 Normal FALSE left NA NA 1 26 - 142 Normal FALSE center NA NA 1 26 - 143 Normal FALSE center NA NA 1 26 - 144 Normal FALSE center NA NA 1 26 - 145 Normal FALSE center NA NA 1 26 - 146 Normal FALSE center NA NA 1 26 - 147 Normal FALSE left NA NA 1 27 - 148 Normal FALSE center NA NA 1 27 - 149 Normal FALSE center NA NA 1 27 - 150 Normal FALSE center NA NA 1 27 - 151 Normal FALSE center NA NA 1 27 - 152 Normal FALSE center NA NA 1 27 - 153 Normal FALSE left NA NA 1 28 - 154 Normal FALSE center NA NA 1 28 - 155 Normal FALSE center NA NA 1 28 - 156 Normal FALSE center NA NA 1 28 - 157 Normal FALSE center NA NA 1 28 - 158 Normal FALSE center NA NA 1 28 - 159 Normal FALSE left NA NA 1 29 - 160 Normal FALSE center NA NA 1 29 - 161 Normal FALSE center NA NA 1 29 - 162 Normal FALSE center NA NA 1 29 - 163 Normal FALSE center NA NA 1 29 - 164 Normal FALSE center NA NA 1 29 - 165 Normal FALSE left NA NA 1 30 - 166 Normal FALSE center NA NA 1 30 - 167 Normal FALSE center NA NA 1 30 - 168 Normal FALSE center NA NA 1 30 - 169 Normal FALSE center NA NA 1 30 - 170 Normal FALSE center NA NA 1 30 - 171 Normal FALSE left NA NA 1 31 - 172 Normal FALSE center NA NA 1 31 - 173 Normal FALSE center NA NA 1 31 - 174 Normal FALSE center NA NA 1 31 - 175 Normal FALSE center NA NA 1 31 - 176 Normal FALSE center NA NA 1 31 - 177 Normal FALSE left NA NA 1 32 - 178 Normal FALSE center NA NA 1 32 - 179 Normal FALSE center NA NA 1 32 - 180 Normal FALSE center NA NA 1 32 - 181 Normal FALSE center NA NA 1 32 - 182 Normal FALSE center NA NA 1 32 - 183 Normal FALSE left NA NA 1 33 - 184 Normal FALSE center NA NA 1 33 - 185 Normal FALSE center NA NA 1 33 - 186 Normal FALSE center NA NA 1 33 - 187 Normal FALSE center NA NA 1 33 - 188 Normal FALSE center NA NA 1 33 - 189 Normal FALSE left NA NA 1 34 - 190 Normal FALSE center NA NA 1 34 - 191 Normal FALSE center NA NA 1 34 - 192 Normal FALSE center NA NA 1 34 - 193 Normal FALSE center NA NA 1 34 - 194 Normal FALSE center NA NA 1 34 - 195 Normal FALSE left NA NA 1 35 - 196 Normal FALSE center NA NA 1 35 - 197 Normal FALSE center NA NA 1 35 - 198 Normal FALSE center NA NA 1 35 - 199 Normal FALSE center NA NA 1 35 - 200 Normal FALSE center NA NA 1 35 - 201 Normal FALSE left NA NA 1 36 - 202 Normal FALSE center NA NA 1 36 - 203 Normal FALSE center NA NA 1 36 - 204 Normal FALSE center NA NA 1 36 - 205 Normal FALSE center NA NA 1 36 - 206 Normal FALSE center NA NA 1 36 - 207 Normal FALSE left NA NA 1 37 - 208 Normal FALSE center NA NA 1 37 - 209 Normal FALSE center NA NA 1 37 - 210 Normal FALSE center NA NA 1 37 - 211 Normal FALSE center NA NA 1 37 - 212 Normal FALSE center NA NA 1 37 - 213 Normal FALSE left NA NA 1 38 - 214 Normal FALSE center NA NA 1 38 - 215 Normal FALSE center NA NA 1 38 - 216 Normal FALSE center NA NA 1 38 - 217 Normal FALSE center NA NA 1 38 - 218 Normal FALSE center NA NA 1 38 - 219 Normal FALSE left NA NA 1 39 - 220 Normal FALSE center NA NA 1 39 - 221 Normal FALSE center NA NA 1 39 - 222 Normal FALSE center NA NA 1 39 - 223 Normal FALSE center NA NA 1 39 - 224 Normal FALSE center NA NA 1 39 - 225 Normal FALSE left NA NA 1 40 - 226 Normal FALSE left NA NA 1 40 - 227 Normal FALSE left NA NA 1 40 - 228 Normal FALSE left NA NA 1 40 - cell_id col_span row_span is_header table_stylename - 1 1 6 1 TRUE - 2 1 6 1 TRUE - 3 1 6 1 TRUE - 4 1 1 1 TRUE - 5 2 3 1 TRUE - 6 5 2 1 TRUE - 7 1 1 1 TRUE - 8 2 3 1 TRUE - 9 5 1 1 TRUE - 10 6 1 1 TRUE - 11 1 1 1 TRUE - 12 2 3 1 TRUE - 13 5 1 1 TRUE - 14 6 1 1 TRUE - 15 1 1 1 TRUE - 16 2 1 1 TRUE - 17 3 1 1 TRUE - 18 4 1 1 TRUE - 19 5 1 1 TRUE - 20 6 1 1 TRUE - 21 1 1 1 FALSE - 22 2 1 1 FALSE - 23 3 1 1 FALSE - 24 4 1 1 FALSE - 25 5 1 1 FALSE - 26 6 1 1 FALSE - 27 1 1 1 FALSE - 28 2 1 1 FALSE - 29 3 1 1 FALSE - 30 4 1 1 FALSE - 31 5 1 1 FALSE - 32 6 1 1 FALSE - 33 1 1 1 FALSE - 34 2 1 1 FALSE - 35 3 1 1 FALSE - 36 4 1 1 FALSE - 37 5 1 1 FALSE - 38 6 1 1 FALSE - 39 1 1 1 FALSE - 40 2 1 1 FALSE - 41 3 1 1 FALSE - 42 4 1 1 FALSE - 43 5 1 1 FALSE - 44 6 1 1 FALSE - 45 1 1 1 FALSE - 46 2 1 1 FALSE - 47 3 1 1 FALSE - 48 4 1 1 FALSE - 49 5 1 1 FALSE - 50 6 1 1 FALSE - 51 1 1 1 FALSE - 52 2 1 1 FALSE - 53 3 1 1 FALSE - 54 4 1 1 FALSE - 55 5 1 1 FALSE - 56 6 1 1 FALSE - 57 1 1 1 FALSE - 58 2 1 1 FALSE - 59 3 1 1 FALSE - 60 4 1 1 FALSE - 61 5 1 1 FALSE - 62 6 1 1 FALSE - 63 1 1 1 FALSE - 64 2 1 1 FALSE - 65 3 1 1 FALSE - 66 4 1 1 FALSE - 67 5 1 1 FALSE - 68 6 1 1 FALSE - 69 1 1 1 FALSE - 70 2 1 1 FALSE - 71 3 1 1 FALSE - 72 4 1 1 FALSE - 73 5 1 1 FALSE - 74 6 1 1 FALSE - 75 1 1 1 FALSE - 76 2 1 1 FALSE - 77 3 1 1 FALSE - 78 4 1 1 FALSE - 79 5 1 1 FALSE - 80 6 1 1 FALSE - 81 1 1 1 FALSE - 82 2 1 1 FALSE - 83 3 1 1 FALSE - 84 4 1 1 FALSE - 85 5 1 1 FALSE - 86 6 1 1 FALSE - 87 1 1 1 FALSE - 88 2 1 1 FALSE - 89 3 1 1 FALSE - 90 4 1 1 FALSE - 91 5 1 1 FALSE - 92 6 1 1 FALSE - 93 1 1 1 FALSE - 94 2 1 1 FALSE - 95 3 1 1 FALSE - 96 4 1 1 FALSE - 97 5 1 1 FALSE - 98 6 1 1 FALSE - 99 1 1 1 FALSE - 100 2 1 1 FALSE - 101 3 1 1 FALSE - 102 4 1 1 FALSE - 103 5 1 1 FALSE - 104 6 1 1 FALSE - 105 1 1 1 FALSE - 106 2 1 1 FALSE - 107 3 1 1 FALSE - 108 4 1 1 FALSE - 109 5 1 1 FALSE - 110 6 1 1 FALSE - 111 1 1 1 FALSE - 112 2 1 1 FALSE - 113 3 1 1 FALSE - 114 4 1 1 FALSE - 115 5 1 1 FALSE - 116 6 1 1 FALSE - 117 1 1 1 FALSE - 118 2 1 1 FALSE - 119 3 1 1 FALSE - 120 4 1 1 FALSE - 121 5 1 1 FALSE - 122 6 1 1 FALSE - 123 1 1 1 FALSE - 124 2 1 1 FALSE - 125 3 1 1 FALSE - 126 4 1 1 FALSE - 127 5 1 1 FALSE - 128 6 1 1 FALSE - 129 1 1 1 FALSE - 130 2 1 1 FALSE - 131 3 1 1 FALSE - 132 4 1 1 FALSE - 133 5 1 1 FALSE - 134 6 1 1 FALSE - 135 1 1 1 FALSE - 136 2 1 1 FALSE - 137 3 1 1 FALSE - 138 4 1 1 FALSE - 139 5 1 1 FALSE - 140 6 1 1 FALSE - 141 1 1 1 FALSE - 142 2 1 1 FALSE - 143 3 1 1 FALSE - 144 4 1 1 FALSE - 145 5 1 1 FALSE - 146 6 1 1 FALSE - 147 1 1 1 FALSE - 148 2 1 1 FALSE - 149 3 1 1 FALSE - 150 4 1 1 FALSE - 151 5 1 1 FALSE - 152 6 1 1 FALSE - 153 1 1 1 FALSE - 154 2 1 1 FALSE - 155 3 1 1 FALSE - 156 4 1 1 FALSE - 157 5 1 1 FALSE - 158 6 1 1 FALSE - 159 1 1 1 FALSE - 160 2 1 1 FALSE - 161 3 1 1 FALSE - 162 4 1 1 FALSE - 163 5 1 1 FALSE - 164 6 1 1 FALSE - 165 1 1 1 FALSE - 166 2 1 1 FALSE - 167 3 1 1 FALSE - 168 4 1 1 FALSE - 169 5 1 1 FALSE - 170 6 1 1 FALSE - 171 1 1 1 FALSE - 172 2 1 1 FALSE - 173 3 1 1 FALSE - 174 4 1 1 FALSE - 175 5 1 1 FALSE - 176 6 1 1 FALSE - 177 1 1 1 FALSE - 178 2 1 1 FALSE - 179 3 1 1 FALSE - 180 4 1 1 FALSE - 181 5 1 1 FALSE - 182 6 1 1 FALSE - 183 1 1 1 FALSE - 184 2 1 1 FALSE - 185 3 1 1 FALSE - 186 4 1 1 FALSE - 187 5 1 1 FALSE - 188 6 1 1 FALSE - 189 1 1 1 FALSE - 190 2 1 1 FALSE - 191 3 1 1 FALSE - 192 4 1 1 FALSE - 193 5 1 1 FALSE - 194 6 1 1 FALSE - 195 1 1 1 FALSE - 196 2 1 1 FALSE - 197 3 1 1 FALSE - 198 4 1 1 FALSE - 199 5 1 1 FALSE - 200 6 1 1 FALSE - 201 1 1 1 FALSE - 202 2 1 1 FALSE - 203 3 1 1 FALSE - 204 4 1 1 FALSE - 205 5 1 1 FALSE - 206 6 1 1 FALSE - 207 1 1 1 FALSE - 208 2 1 1 FALSE - 209 3 1 1 FALSE - 210 4 1 1 FALSE - 211 5 1 1 FALSE - 212 6 1 1 FALSE - 213 1 1 1 FALSE - 214 2 1 1 FALSE - 215 3 1 1 FALSE - 216 4 1 1 FALSE - 217 5 1 1 FALSE - 218 6 1 1 FALSE - 219 1 1 1 FALSE - 220 2 1 1 FALSE - 221 3 1 1 FALSE - 222 4 1 1 FALSE - 223 5 1 1 FALSE - 224 6 1 1 FALSE - 225 1 6 1 FALSE - 226 1 6 1 FALSE - 227 1 6 1 FALSE - 228 1 6 1 FALSE - -# export_TLG_as_docx() works with basic example - - Code - officer::docx_summary(x = doc, detailed = detailed) - Output - doc_index content_type style_name - 1 1 table cell caption - 2 2 table cell Normal - 3 3 table cell Normal - text - 1 testgraph1234:\tDuration of Treatment; Safety Analysis Set (Study jjcs - core) - 2 - 3 - table_index row_id cell_id is_header row_span col_span table_stylename - 1 1 1 1 TRUE 1 1 - 2 1 2 1 FALSE 1 1 - 3 1 3 1 FALSE 1 1 - diff --git a/tests/testthat/test-colstruct.R b/tests/testthat/test-colstruct.R index ae21b5de..f8524d65 100644 --- a/tests/testthat/test-colstruct.R +++ b/tests/testthat/test-colstruct.R @@ -615,16 +615,21 @@ test_that("some_v_all_col_struct works without a spanning header", { expect_equal(unclass(col_paths(tbl)), expected) }) -test_that("quartile_col_struct works with a spanning header", { +test_that("We can make quartile column structs withand without spanner via subgrp fun", { trtvar <- "TRT01A" - grp_var <- "WGTGR1" + var <- "WEIGHTGR1" + subgrplbl <- "Body Weight (kg) Quartiles" + v1 <- seq(10, 100, by = 10) + v2 <- seq(110, 200, by = 10) dat <- data.frame( TRT01A = factor(rep(c("Placebo", "Active 1"), each = 10)), - WGTGR1 = factor( - rep(c("47 to <62", "62 to <69", "69 to <74", "74 to 95", "47 to <62"), 4), - levels = c("47 to <62", "62 to <69", "69 to <74", "74 to 95") - ) + WEIGHT = c(v1, v2), + ## we don't need the labels to look like + ## we will want them, just splitting behavior + ## so this is fine + WEIGHTGR1 = cut(c(v1, v2), breaks = fivenum(c(v1, v2)), include.lowest = TRUE) ) + dat <- create_colspan_var( dat, non_active_grp = "Placebo", @@ -643,72 +648,48 @@ test_that("quartile_col_struct works with a spanning header", { ) lyt <- basic_table() |> - quartile_col_struct( - grp_var = grp_var, + grouped_cols_w_subgrps( + subgrpvar = var, colspan_trt_map = colspan_trt_map, - span_lbl = "Body Weight (kg) Quartiles" + subgrplbl = subgrplbl, + total_facet = FALSE ) |> - analyze(grp_var, afun = function(x, ...) length(x)) + analyze(var, afun = function(x, ...) length(x)) tbl <- build_table(lyt, dat) spanvar <- names(colspan_trt_map)[1] - quartile_labs <- c("47 to <62", "62 to <69", "69 to <74", "74 to 95") - - expected <- unlist( - lapply( - seq_len(NROW(colspan_trt_map)), - function(i) { - rw <- colspan_trt_map[i, ] - lapply( - quartile_labs, - function(lab) { - c(spanvar, rw[[spanvar]], trtvar, rw[[trtvar]], trtvar, "quartiles", grp_var, lab) - } - ) - } - ), - recursive = FALSE - ) + + expect_equal(col_paths(tbl)[[8]], + c("colspan_trt", "Control", trtvar, "Placebo", trtvar, subgrplbl, var, "(155,200]")) + expect_equal(unname(unlist(cell_values(tbl))), c(0, 0, 5, 5, 5, 5, 0, 0)) + ## names(tbl) has dumb behavior but oh well + expect_equal(names(tbl), + c(rep("Active Treatment", 4), + rep("Control", 4))) - expect_equal(unclass(col_paths(tbl)), expected) -}) - -test_that("quartile_col_struct works without a spanning header", { - trtvar <- "ARM" - grp_var <- "WGTGR1" - dat <- data.frame( - ARM = factor(rep(c("Arm A", "Arm B"), each = 10)), - WGTGR1 = factor( - rep(c("47 to <62", "62 to <69", "69 to <74", "74 to 95", "47 to <62"), 4), - levels = c("47 to <62", "62 to <69", "69 to <74", "74 to 95") - ) - ) - - lyt <- basic_table() |> - quartile_col_struct( - grp_var = grp_var, + lyt2 <- basic_table() |> + grouped_cols_w_subgrps( + ## note we need to specify trtvar here + ## since there is no colspan_trt_map trtvar = trtvar, - span_lbl = "Body Weight (kg) Quartiles" + subgrpvar = var, + subgrplbl = subgrplbl, + total_facet = FALSE ) |> - analyze(grp_var, afun = function(x, ...) length(x)) - - tbl <- build_table(lyt, dat) - - quartile_labs <- c("47 to <62", "62 to <69", "69 to <74", "74 to 95") - - expected <- unlist( - lapply( - levels(dat[[trtvar]]), - function(lvl) { - lapply( - quartile_labs, - function(lab) c(trtvar, lvl, trtvar, "quartiles", grp_var, lab) - ) - } - ), - recursive = FALSE - ) - - expect_equal(unclass(col_paths(tbl)), expected) + analyze(var, afun = function(x, ...) length(x)) + + tbl2 <- build_table(lyt2, dat) + + ## identical col paths to tbl if we strip off the + ## first two elements of each path + ## unclass is because col_paths comes out as an + ## "AsIs" object, annoying but whatever + expect_equal(unclass(col_paths(tbl2)), + lapply(col_paths(tbl), + function(x) tail(x, -2))) + expect_equal(unname(unlist(cell_values(tbl2))), c(0, 0, 5, 5, 5, 5, 0, 0)) + expect_equal(names(tbl2), + c(rep("Active 1", 4), + rep("Placebo", 4))) }) diff --git a/vignettes/standard_column_structures.Rmd b/vignettes/standard_column_structures.Rmd index c82e24fb..2e229146 100644 --- a/vignettes/standard_column_structures.Rmd +++ b/vignettes/standard_column_structures.Rmd @@ -192,4 +192,64 @@ lyt6 <- basic_table() |> grouped_cols_w_diffs(trt_map, comp_map = comp_map2) build_table(lyt6, adsl) + ``` + +# Other Standard Column Structures + +## Subgroup Column Structures + +The `grouped_cols_w_subgrps` function generates columns structures, +with or without overarching spanning column headers, wherein treatment +arms are further split by the values of a subgrouping variable. + +By default, a Total column is added to the left of the subgroups +within each treatment, though this can be disabled. + +Similar to `grouped_cols_w_diffs`, we can specify a `colspan_trt_map`, +which will define both the spanning labels and the treatment variable: + +```{r} +lyt_subgrp <- basic_table() |> + grouped_cols_w_subgrps(trt_map, subgrpvar = "SEX") + + +build_table(lyt_subgrp, adsl) +``` + +Similar to `grouped_cols_w_diffs`, we can get a structure without +spanning labels by specifying `trtvar` instead of `colspan_trt_map`, +though this does make the name of the function something of a +misnomer, as the treatments are no longer grouped: + + +```{r} +lyt_subgrp2 <- basic_table() |> + grouped_cols_w_subgrps(trtvar = "TRT01A", subgrpvar = "SEX") + + +build_table(lyt_subgrp2, adsl) +``` + +`grouped_cols_w_subgrps` also accepts `combo_map_df`, with usage +similar to that explored for `grouped_cols_w_diffs` above. + +### Quartiles As A Special Case Of Subgrouping + +For pre-computed quartile (or any other binning) groups, we can simply use `grouped_cols_w_subgrps` with `total_facet = FALSE`: + + +```{r} +lyt_ageqrtls <- basic_table() |> + grouped_cols_w_subgrps(colspan_trt_map = trt_map, + subgrpvar = "AGEGR1", + subgrplbl = "Age Quartiles", + total_facet = FALSE) + + +build_table(lyt_ageqrtls, adsl) +``` + +## Shift Table Column Structure + +We can create the column structure for a standard Shift Table via the `shift_tbl_col_struct` function: From d524518ab43399f63530ccc18422576643d6dd4d Mon Sep 17 00:00:00 2001 From: munoztd0 Date: Thu, 1 Oct 2026 13:30:02 +0000 Subject: [PATCH 22/26] lints --- tests/testthat/test-colstruct.R | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/testthat/test-colstruct.R b/tests/testthat/test-colstruct.R index f8524d65..4158d45e 100644 --- a/tests/testthat/test-colstruct.R +++ b/tests/testthat/test-colstruct.R @@ -659,7 +659,7 @@ test_that("We can make quartile column structs withand without spanner via subgr tbl <- build_table(lyt, dat) spanvar <- names(colspan_trt_map)[1] - + expect_equal(col_paths(tbl)[[8]], c("colspan_trt", "Control", trtvar, "Placebo", trtvar, subgrplbl, var, "(155,200]")) expect_equal(unname(unlist(cell_values(tbl))), c(0, 0, 5, 5, 5, 5, 0, 0)) @@ -671,7 +671,7 @@ test_that("We can make quartile column structs withand without spanner via subgr lyt2 <- basic_table() |> grouped_cols_w_subgrps( ## note we need to specify trtvar here - ## since there is no colspan_trt_map + ## since there is no colspan_trt_map trtvar = trtvar, subgrpvar = var, subgrplbl = subgrplbl, From 697a4fa746602fff835280852afd295e0e52f27b Mon Sep 17 00:00:00 2001 From: munoztd0 Date: Thu, 1 Oct 2026 13:35:46 +0000 Subject: [PATCH 23/26] fix pkgdown --- NEWS.md | 2 +- _pkgdown.yml | 2 -- 2 files changed, 1 insertion(+), 3 deletions(-) diff --git a/NEWS.md b/NEWS.md index 5d1924b9..22816658 100644 --- a/NEWS.md +++ b/NEWS.md @@ -76,7 +76,7 @@ and introduce functions `jjcsformat_count_denom_fraction_legacy` and `jjcsformat - Added `rightside()` to extract the right-hand side of a formula as a scalar character value. - Added `a_three_tier()` as extension to `a_two_tier()`. - Added formatting function `format_sigfig_j()` as alternative to `tern::format_sigfig()`. (#436) -- Added new standard column structure functions: `make_multicomp_splfun()`, `grouped_cols_w_diffs()`, `grouped_cols_w_subgrps()`, `shift_tbl_col_struct()`, `some_v_all_col_struct()`, and `quartile_col_struct()`. +- Added new standard column structure functions: `make_multicomp_splfun()`, `grouped_cols_w_diffs()`, `grouped_cols_w_subgrps()`, `shift_tbl_col_struct()`, and `some_v_all_col_struct()`. - Added varying decimal precision utility functions `fmt_spec_single_d`, `fmt_spec_df_d`, `fmt_spec_var_d`. (#474) - Added utility functions `get_fmt_details` and `compare_fmt_specs` for reviewing format specification objects. diff --git a/_pkgdown.yml b/_pkgdown.yml index 7573d1ba..844dc899 100644 --- a/_pkgdown.yml +++ b/_pkgdown.yml @@ -135,8 +135,6 @@ reference: - do_exclude_split - make_combo_splitfun - make_multicomp_splfun - - postfun_eq5d - - quartile_col_struct - stats_in_cols_setup - real_add_overall_facet - some_v_all_col_struct From 0c4cb411de4554c1a5d6b3a72b85eff5750429d8 Mon Sep 17 00:00:00 2001 From: munoztd0 Date: Thu, 1 Oct 2026 13:48:33 +0000 Subject: [PATCH 24/26] wordlist --- inst/WORDLIST | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/inst/WORDLIST b/inst/WORDLIST index 903628c9..5e52de70 100644 --- a/inst/WORDLIST +++ b/inst/WORDLIST @@ -2,6 +2,7 @@ ADSL AE AEBODSYS AEDECOD +AEs ANCOVA AVAL AVISIT @@ -33,8 +34,8 @@ Kaplan Lapply Lettis Liu -MMRM MF +MMRM Miettinen Nurminen PARAMCD @@ -46,6 +47,7 @@ RowsVerticalSection Sato Scosyrev Snavely +Subgrouping TEFOS TLG TLGs @@ -55,6 +57,7 @@ TableTree Toeplitz TrueType Unlist +VR VTableTree XLSX afun @@ -138,7 +141,6 @@ kaplan keeprowtext lastcat ldots -lifecycle lsm lsmean lsmeans @@ -153,6 +155,7 @@ multivar multivars n's na +natively parallelisation parentdf pathin @@ -172,6 +175,7 @@ py qquad rbmi referene +relabelled removerowtext responder responders @@ -199,7 +203,7 @@ str struct subcol subfacet -subgrouped +subgrouping summarization summarizations tbldf @@ -215,10 +219,6 @@ unicodify unlist unrounded unstratified -VR wald wordbreaking xlsx -relabelled -natively - From c4f088e121d2b825eb0cb4a98065b738343fb2bc Mon Sep 17 00:00:00 2001 From: Gabe Becker Date: Fri, 2 Oct 2026 01:01:35 -0700 Subject: [PATCH 25/26] final draft of vignette, some other fixes --- NAMESPACE | 2 +- R/a_eair_j.R | 2 +- R/a_eair_strat_j.R | 5 +- R/risk_diff_col_struct.R | 42 ++++++++--------- man/a_eair100_j.Rd | 2 +- man/a_eair_strat_j.Rd | 6 ++- man/grouped_cols_w_diffs.Rd | 18 +++---- man/some_v_all_col_struct.Rd | 10 ++-- tests/testthat/test-colstruct.R | 60 ++++++++++++------------ vignettes/standard_column_structures.Rmd | 44 +++++++++++++++-- 10 files changed, 115 insertions(+), 76 deletions(-) diff --git a/NAMESPACE b/NAMESPACE index c5d66991..89d98d2a 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -179,9 +179,9 @@ import(rlistings) import(rtables) import(tern) import(tidytlg) +importFrom(assertthat,is.string) importFrom(formatters,with_label) importFrom(formatters,wrap_string_ttype) -importFrom(assertthat,is.string) importFrom(generics,tidy) importFrom(rtables,in_rows) importFrom(rtables,rcell) diff --git a/R/a_eair_j.R b/R/a_eair_j.R index 730b8d69..21d54bf2 100644 --- a/R/a_eair_j.R +++ b/R/a_eair_j.R @@ -290,7 +290,7 @@ NULL #' \item eair_diff_ci: Confidence interval for difference in EAIR between current group and reference group #' (if `diff`=TRUE and `inriskdiffcol`=TRUE) #' \item eair_diff_est_ci: Combination of `eair_diff_est` and `eair_diff_ci`. -#' }\cr +#' } #' The list of available statistics (core columns) can also be viewed by #' running `junco_get_stats("a_eair100_j")`. #' @details diff --git a/R/a_eair_strat_j.R b/R/a_eair_strat_j.R index e4515375..2ca36285 100644 --- a/R/a_eair_strat_j.R +++ b/R/a_eair_strat_j.R @@ -32,6 +32,7 @@ #' #' @return #' * `s_eair_strat_levii_j()` returns a list containing the following statistics: +#' #' \itemize{ #' \item `n_event_total`: total event count across strata (current arm) #' \item `person_years_total`: total person-years across strata (current arm) @@ -45,7 +46,9 @@ #' (only when `vs_ref_group = TRUE`, otherwise `NULL`) #' \item `eair_strat_diff_est`: estimate for the difference in stratified rate #' \item `eair_strat_diff_ci`: CI (Wald type) for the difference in stratified rate -#' }\cr +#' } +#' +#' #' The list of available statistics (core columns) can also be viewed by #' running `junco_get_stats("a_eair_strat_j")`. #' @seealso [a_eair100_j()] diff --git a/R/risk_diff_col_struct.R b/R/risk_diff_col_struct.R index 1c84abf8..edd5cc63 100644 --- a/R/risk_diff_col_struct.R +++ b/R/risk_diff_col_struct.R @@ -786,12 +786,12 @@ spans_trtvar_no_diffs <- function( #' @param trtvar (`character(1)` or `NULL`)\cr the treatment variable #' to split by. Defaults to the treatment variable in #' `colspan_trt_map`. -#' @param subgrpvar (`character(1)` or `NULL`)\cr the name of the +#' @param subgrp_var (`character(1)` or `NULL`)\cr the name of the #' subgroup variable to split by within the `trtvar` split -#' @param subgrplbl (`character(1)` or `NULL`)\cr the spanning label -#' to place over the subgroups, if different than `subgrpvar` +#' @param subgrp_lbl (`character(1)` or `NULL`)\cr the spanning label +#' to place over the subgroups, if different than `subgrp_var` #' @param total_facet (`logical(1)`)\cr should an overall facet be -#' prepended to the partition defined by `subgrpvar`? Defaults to +#' prepended to the partition defined by `subgrp_var`? Defaults to #' `TRUE`. #' @param total_lbl (`character(1)`)\cr Label to be used for the #' overall facet, if applicable. Defaults to `"Total"`; ignored if @@ -804,7 +804,7 @@ spans_trtvar_no_diffs <- function( #' @details `grouped_cols_w_subgrps` creates a hierarchical column #' structure that splits by `trtvar`, underneath which is a #' spanning label over a split with a Total column along with -#' columns for each level of `subgrpvar`. +#' columns for each level of `subgrp_var`. #' @export #' @examples #' dat <- create_colspan_var( @@ -830,8 +830,8 @@ spans_trtvar_no_diffs <- function( #' lyt <- basic_table() |> #' grouped_cols_w_subgrps( #' colspan_trt_map, -#' subgrpvar = "SEX", -#' subgrplbl = "SUB_*" +#' subgrp_var = "SEX", +#' subgrp_lbl = "SUB_*" #' ) |> #' analyze("TRT01A", afun = function(x, ...) length(x)) #' @@ -841,8 +841,8 @@ grouped_cols_w_subgrps <- function( colspan_trt_map = NULL, combo_map_df = NULL, trtvar = names(colspan_trt_map)[2], - subgrpvar = NULL, - subgrplbl = subgrpvar, + subgrp_var = NULL, + subgrp_lbl = subgrp_var, total_facet = TRUE, total_lbl = "Total", .pre = list(), @@ -852,7 +852,7 @@ grouped_cols_w_subgrps <- function( stop("trtvar must be specified if no colspan map is provided.") } - if (is.null(subgrpvar)) { + if (is.null(subgrp_var)) { stop( "no subgroup variable specified, use grouped_cols_w_diffs with diff_cols=FALSE ", "to create a grouped column structure with no subgrouping." @@ -874,13 +874,13 @@ grouped_cols_w_subgrps <- function( trtvar, split_fun = make_split_fun( post = list( - add_overall_facet(subgrplbl, subgrplbl), - restrict_facets(subgrplbl, op = "keep") + add_overall_facet(subgrp_lbl, subgrp_lbl), + restrict_facets(subgrp_lbl, op = "keep") ) ) ) |> split_cols_by( - subgrpvar, + subgrp_var, ## NULL is default behavior so this is ok split_fun = if (total_facet) add_overall_level(total_lbl, first = TRUE) ) @@ -960,7 +960,7 @@ shift_tbl_col_struct <- function(lyt, var, span_lbl = "Baseline", .outer_spl_var #' #' @details #' This column structure generating function is for comparing a single portion of the data (as represented by -#' level(s) of `subgrpvar`) against the full data, comparison of AE counts to treatment-related AE counts +#' level(s) of `subgrp_var`) against the full data, comparison of AE counts to treatment-related AE counts #' being a motivating example. #' #' @@ -990,7 +990,7 @@ shift_tbl_col_struct <- function(lyt, var, span_lbl = "Baseline", .outer_spl_var #' lyt <- basic_table() |> #' some_v_all_col_struct( #' colspan_trt_map, -#' subgrpvar = "GRADE", +#' subgrp_var = "GRADE", #' subgrp_lvls = c("Grade 4", "Grade 5"), #' subgrp_lbl = "High Grade", #' all_lbl = "All Grades") @@ -1003,8 +1003,8 @@ some_v_all_col_struct <- function( colspan_trt_map = NULL, combo_map_df = NULL, trtvar = names(colspan_trt_map)[2], - subgrpvar = NULL, - subgrp_lbl = subgrpvar, + subgrp_var = NULL, + subgrp_lbl = subgrp_var, all_lbl, subgrp_lvls, .pre = list(), @@ -1014,7 +1014,7 @@ some_v_all_col_struct <- function( stop("trtvar must be specified if no colspan map is provided.") } - if (is.null(subgrpvar)) { + if (is.null(subgrp_var)) { stop( "no subgroup variable specified, use grouped_cols_w_diffs with diff_cols=FALSE ", "to create a grouped column structure with no subgrouping." @@ -1032,17 +1032,17 @@ some_v_all_col_struct <- function( lyt <- lyt |> split_cols_by( - subgrpvar, + subgrp_var, split_fun = make_split_fun( post = list( add_overall_facet(all_lbl, label = all_lbl), add_combo_facet( - name = paste0(subgrpvar, "_subset"), + name = paste0(subgrp_var, "_subset"), label = subgrp_lbl, levels = subgrp_lvls ), restrict_facets( - c(all_lbl, paste0(subgrpvar, "_subset")), + c(all_lbl, paste0(subgrp_var, "_subset")), op = "keep" ) ) diff --git a/man/a_eair100_j.Rd b/man/a_eair100_j.Rd index 86fc3bb5..d4f0b214 100644 --- a/man/a_eair100_j.Rd +++ b/man/a_eair100_j.Rd @@ -168,7 +168,7 @@ these will be removed as \code{ear_diff_est_ci} will be displayed in the risk di \item eair_diff_ci: Confidence interval for difference in EAIR between current group and reference group (if \code{diff}=TRUE and \code{inriskdiffcol}=TRUE) \item eair_diff_est_ci: Combination of \code{eair_diff_est} and \code{eair_diff_ci}. -}\cr +} The list of available statistics (core columns) can also be viewed by running \code{junco_get_stats("a_eair100_j")}. } diff --git a/man/a_eair_strat_j.Rd b/man/a_eair_strat_j.Rd index 4a09a945..3b1377ac 100644 --- a/man/a_eair_strat_j.Rd +++ b/man/a_eair_strat_j.Rd @@ -144,6 +144,8 @@ these will be removed as \code{ear_diff_est_ci} will be displayed in the risk di \value{ \itemize{ \item \code{s_eair_strat_levii_j()} returns a list containing the following statistics: +} + \itemize{ \item \code{n_event_total}: total event count across strata (current arm) \item \code{person_years_total}: total person-years across strata (current arm) @@ -157,10 +159,10 @@ these will be removed as \code{ear_diff_est_ci} will be displayed in the risk di (only when \code{vs_ref_group = TRUE}, otherwise \code{NULL}) \item \code{eair_strat_diff_est}: estimate for the difference in stratified rate \item \code{eair_strat_diff_ci}: CI (Wald type) for the difference in stratified rate -}\cr +} + The list of available statistics (core columns) can also be viewed by running \code{junco_get_stats("a_eair_strat_j")}. -} \itemize{ \item \code{a_eair_strat_j()} returns a list of formatted \code{\link[rtables:CellValue]{rtables::CellValue()}} rows. diff --git a/man/grouped_cols_w_diffs.Rd b/man/grouped_cols_w_diffs.Rd index 063c36ac..1523ce65 100644 --- a/man/grouped_cols_w_diffs.Rd +++ b/man/grouped_cols_w_diffs.Rd @@ -23,8 +23,8 @@ grouped_cols_w_subgrps( colspan_trt_map = NULL, combo_map_df = NULL, trtvar = names(colspan_trt_map)[2], - subgrpvar = NULL, - subgrplbl = subgrpvar, + subgrp_var = NULL, + subgrp_lbl = subgrp_var, total_facet = TRUE, total_lbl = "Total", .pre = list(), @@ -76,14 +76,14 @@ faceting.} to split by. Defaults to the treatment variable in \code{colspan_trt_map}.} -\item{subgrpvar}{(\code{character(1)} or \code{NULL})\cr the name of the +\item{subgrp_var}{(\code{character(1)} or \code{NULL})\cr the name of the subgroup variable to split by within the \code{trtvar} split} -\item{subgrplbl}{(\code{character(1)} or \code{NULL})\cr the spanning label -to place over the subgroups, if different than \code{subgrpvar}} +\item{subgrp_lbl}{(\code{character(1)} or \code{NULL})\cr the spanning label +to place over the subgroups, if different than \code{subgrp_var}} \item{total_facet}{(\code{logical(1)})\cr should an overall facet be -prepended to the partition defined by \code{subgrpvar}? Defaults to +prepended to the partition defined by \code{subgrp_var}? Defaults to \code{TRUE}.} \item{total_lbl}{(\code{character(1)})\cr Label to be used for the @@ -156,7 +156,7 @@ parent containing the individual risk difference columns. \code{grouped_cols_w_subgrps} creates a hierarchical column structure that splits by \code{trtvar}, underneath which is a spanning label over a split with a Total column along with -columns for each level of \code{subgrpvar}. +columns for each level of \code{subgrp_var}. } \examples{ colspan_var <- create_colspan_var( @@ -204,8 +204,8 @@ colspan_trt_map <- create_colspan_map( lyt <- basic_table() |> grouped_cols_w_subgrps( colspan_trt_map, - subgrpvar = "SEX", - subgrplbl = "SUB_*" + subgrp_var = "SEX", + subgrp_lbl = "SUB_*" ) |> analyze("TRT01A", afun = function(x, ...) length(x)) diff --git a/man/some_v_all_col_struct.Rd b/man/some_v_all_col_struct.Rd index 9784ef9f..f56ebd13 100644 --- a/man/some_v_all_col_struct.Rd +++ b/man/some_v_all_col_struct.Rd @@ -9,8 +9,8 @@ some_v_all_col_struct( colspan_trt_map = NULL, combo_map_df = NULL, trtvar = names(colspan_trt_map)[2], - subgrpvar = NULL, - subgrp_lbl = subgrpvar, + subgrp_var = NULL, + subgrp_lbl = subgrp_var, all_lbl, subgrp_lvls, .pre = list(), @@ -34,7 +34,7 @@ act as a reference (\code{TRUE}) or active (\code{FALSE}) group.} to split by. Defaults to the treatment variable in \code{colspan_trt_map}.} -\item{subgrpvar}{(\code{character(1)} or \code{NULL})\cr the name of the +\item{subgrp_var}{(\code{character(1)} or \code{NULL})\cr the name of the subgroup variable to split by within the \code{trtvar} split} \item{subgrp_lbl}{(\code{character(1)})\cr The label to put above the combination level representing \code{subgrp_lvls}} @@ -55,7 +55,7 @@ Standard All vs Some (e.g. Related AEs) column structure } \details{ This column structure generating function is for comparing a single portion of the data (as represented by -level(s) of \code{subgrpvar}) against the full data, comparison of AE counts to treatment-related AE counts +level(s) of \code{subgrp_var}) against the full data, comparison of AE counts to treatment-related AE counts being a motivating example. } \examples{ @@ -84,7 +84,7 @@ colspan_trt_map <- create_colspan_map( lyt <- basic_table() |> some_v_all_col_struct( colspan_trt_map, - subgrpvar = "GRADE", + subgrp_var = "GRADE", subgrp_lvls = c("Grade 4", "Grade 5"), subgrp_lbl = "High Grade", all_lbl = "All Grades") diff --git a/tests/testthat/test-colstruct.R b/tests/testthat/test-colstruct.R index 4158d45e..2e6fecc1 100644 --- a/tests/testthat/test-colstruct.R +++ b/tests/testthat/test-colstruct.R @@ -419,23 +419,23 @@ test_that("grouped_cols_w_diffs works", { test_that("grouped_cols_w_subgrps works with a spanning header", { - subgrpvar <- "SEX" - subgrplbl <- "SUB_*" + subgrp_var <- "SEX" + subgrp_lbl <- "SUB_*" subgrp_data <- adsl |> - mutate(!!subgrpvar := factor(rep(c("Female", "Male"), length.out = n()))) + mutate(!!subgrp_var := factor(rep(c("Female", "Male"), length.out = n()))) lyt1 <- basic_table() |> grouped_cols_w_subgrps( colspan_trt_map, - subgrpvar = subgrpvar, - subgrplbl = subgrplbl + subgrp_var = subgrp_var, + subgrp_lbl = subgrp_lbl ) |> analyze(trtvar, afun = afun_refpath) tbl1 <- build_table(lyt1, subgrp_data) spanvar <- names(colspan_trt_map)[1] - subgrp_lvls <- c("Total", levels(subgrp_data[[subgrpvar]])) + subgrp_lvls <- c("Total", levels(subgrp_data[[subgrp_var]])) expect_equal( unclass(col_paths(tbl1)), unlist( @@ -448,7 +448,7 @@ test_that("grouped_cols_w_subgrps works with a spanning header", { function(lvl) { c( spanvar, rw[[spanvar]], trtvar, rw[[trtvar]], - trtvar, subgrplbl, subgrpvar, lvl + trtvar, subgrp_lbl, subgrp_var, lvl ) } ) @@ -461,8 +461,8 @@ test_that("grouped_cols_w_subgrps works with a spanning header", { test_that("grouped_cols_w_subgrps works without a spanning header", { - subgrpvar <- "SEX" - subgrplbl <- "SUB_*" + subgrp_var <- "SEX" + subgrp_lbl <- "SUB_*" subgrp_data <- data.frame( ARM = factor(rep(c("Arm A", "Arm B"), each = 4)), SEX = factor(rep(c("Female", "Male"), 4)) @@ -472,14 +472,14 @@ test_that("grouped_cols_w_subgrps works without a spanning header", { grouped_cols_w_subgrps( colspan_trt_map = NULL, trtvar = "ARM", - subgrpvar = subgrpvar, - subgrplbl = subgrplbl + subgrp_var = subgrp_var, + subgrp_lbl = subgrp_lbl ) |> - analyze(subgrpvar, afun = function(x, ...) length(x)) + analyze(subgrp_var, afun = function(x, ...) length(x)) tbl1 <- build_table(lyt1, subgrp_data) - subgrp_lvls <- c("Total", levels(subgrp_data[[subgrpvar]])) + subgrp_lvls <- c("Total", levels(subgrp_data[[subgrp_var]])) expect_equal( unclass(col_paths(tbl1)), unlist( @@ -489,7 +489,7 @@ test_that("grouped_cols_w_subgrps works without a spanning header", { lapply( subgrp_lvls, function(subgrplvl) { - c("ARM", lvl, "ARM", subgrplbl, subgrpvar, subgrplvl) + c("ARM", lvl, "ARM", subgrp_lbl, subgrp_var, subgrplvl) } ) } @@ -525,7 +525,7 @@ test_that("shift_tbl_col_struct works", { }) test_that("some_v_all_col_struct works with a spanning header", { - subgrpvar <- "GRADE" + subgrp_var <- "GRADE" dat <- data.frame( TRT01A = factor(rep(c("Placebo", "Active 1", "Active 2"), each = 5)), GRADE = factor(rep(paste0("Grade ", 1:5), 3)) @@ -550,12 +550,12 @@ test_that("some_v_all_col_struct works with a spanning header", { lyt <- basic_table() |> some_v_all_col_struct( colspan_trt_map, - subgrpvar = subgrpvar, + subgrp_var = subgrp_var, subgrp_lvls = c("Grade 4", "Grade 5"), subgrp_lbl = "High Grade", all_lbl = "All Grades" ) |> - analyze(subgrpvar, afun = function(x, ...) length(x)) + analyze(subgrp_var, afun = function(x, ...) length(x)) tbl <- build_table(lyt, dat) @@ -567,8 +567,8 @@ test_that("some_v_all_col_struct works with a spanning header", { function(i) { rw <- colspan_trt_map[i, ] list( - c(spanvar, rw[[spanvar]], trtvar, rw[[trtvar]], subgrpvar, "All Grades"), - c(spanvar, rw[[spanvar]], trtvar, rw[[trtvar]], subgrpvar, "GRADE_subset") + c(spanvar, rw[[spanvar]], trtvar, rw[[trtvar]], subgrp_var, "All Grades"), + c(spanvar, rw[[spanvar]], trtvar, rw[[trtvar]], subgrp_var, "GRADE_subset") ) } ), @@ -580,7 +580,7 @@ test_that("some_v_all_col_struct works with a spanning header", { test_that("some_v_all_col_struct works without a spanning header", { trtvar <- "ARM" - subgrpvar <- "GRADE" + subgrp_var <- "GRADE" dat <- data.frame( ARM = factor(rep(c("Arm A", "Arm B"), each = 5)), GRADE = factor(rep(paste0("Grade ", 1:5), 2)) @@ -590,12 +590,12 @@ test_that("some_v_all_col_struct works without a spanning header", { some_v_all_col_struct( colspan_trt_map = NULL, trtvar = trtvar, - subgrpvar = subgrpvar, + subgrp_var = subgrp_var, subgrp_lvls = c("Grade 4", "Grade 5"), subgrp_lbl = "High Grade", all_lbl = "All Grades" ) |> - analyze(subgrpvar, afun = function(x, ...) length(x)) + analyze(subgrp_var, afun = function(x, ...) length(x)) tbl <- build_table(lyt, dat) @@ -604,8 +604,8 @@ test_that("some_v_all_col_struct works without a spanning header", { levels(dat[[trtvar]]), function(lvl) { list( - c(trtvar, lvl, subgrpvar, "All Grades"), - c(trtvar, lvl, subgrpvar, "GRADE_subset") + c(trtvar, lvl, subgrp_var, "All Grades"), + c(trtvar, lvl, subgrp_var, "GRADE_subset") ) } ), @@ -618,7 +618,7 @@ test_that("some_v_all_col_struct works without a spanning header", { test_that("We can make quartile column structs withand without spanner via subgrp fun", { trtvar <- "TRT01A" var <- "WEIGHTGR1" - subgrplbl <- "Body Weight (kg) Quartiles" + subgrp_lbl <- "Body Weight (kg) Quartiles" v1 <- seq(10, 100, by = 10) v2 <- seq(110, 200, by = 10) dat <- data.frame( @@ -649,9 +649,9 @@ test_that("We can make quartile column structs withand without spanner via subgr lyt <- basic_table() |> grouped_cols_w_subgrps( - subgrpvar = var, + subgrp_var = var, colspan_trt_map = colspan_trt_map, - subgrplbl = subgrplbl, + subgrp_lbl = subgrp_lbl, total_facet = FALSE ) |> analyze(var, afun = function(x, ...) length(x)) @@ -661,7 +661,7 @@ test_that("We can make quartile column structs withand without spanner via subgr spanvar <- names(colspan_trt_map)[1] expect_equal(col_paths(tbl)[[8]], - c("colspan_trt", "Control", trtvar, "Placebo", trtvar, subgrplbl, var, "(155,200]")) + c("colspan_trt", "Control", trtvar, "Placebo", trtvar, subgrp_lbl, var, "(155,200]")) expect_equal(unname(unlist(cell_values(tbl))), c(0, 0, 5, 5, 5, 5, 0, 0)) ## names(tbl) has dumb behavior but oh well expect_equal(names(tbl), @@ -673,8 +673,8 @@ test_that("We can make quartile column structs withand without spanner via subgr ## note we need to specify trtvar here ## since there is no colspan_trt_map trtvar = trtvar, - subgrpvar = var, - subgrplbl = subgrplbl, + subgrp_var = var, + subgrp_lbl = subgrp_lbl, total_facet = FALSE ) |> analyze(var, afun = function(x, ...) length(x)) diff --git a/vignettes/standard_column_structures.Rmd b/vignettes/standard_column_structures.Rmd index 2e229146..8ec7b150 100644 --- a/vignettes/standard_column_structures.Rmd +++ b/vignettes/standard_column_structures.Rmd @@ -44,6 +44,7 @@ At it's most basic, `grouped_cols_w_diffs` takes a column-span treatment map, as library(junco) adsl <- create_colspan_var(pharmaverseadamjnj::adsl) adae <- create_colspan_var(pharmaverseadamjnj::adae) +adlb <- create_colspan_var(pharmaverseadamjnj::adlb) trt_map <- create_colspan_map(adsl) print(trt_map) ``` @@ -211,7 +212,7 @@ which will define both the spanning labels and the treatment variable: ```{r} lyt_subgrp <- basic_table() |> - grouped_cols_w_subgrps(trt_map, subgrpvar = "SEX") + grouped_cols_w_subgrps(trt_map, subgrp_var = "SEX") build_table(lyt_subgrp, adsl) @@ -225,7 +226,7 @@ misnomer, as the treatments are no longer grouped: ```{r} lyt_subgrp2 <- basic_table() |> - grouped_cols_w_subgrps(trtvar = "TRT01A", subgrpvar = "SEX") + grouped_cols_w_subgrps(trtvar = "TRT01A", subgrp_var = "SEX") build_table(lyt_subgrp2, adsl) @@ -242,8 +243,8 @@ For pre-computed quartile (or any other binning) groups, we can simply use `grou ```{r} lyt_ageqrtls <- basic_table() |> grouped_cols_w_subgrps(colspan_trt_map = trt_map, - subgrpvar = "AGEGR1", - subgrplbl = "Age Quartiles", + subgrp_var = "AGEGR1", + subgrp_lbl = "Age Quartiles", total_facet = FALSE) @@ -252,4 +253,37 @@ build_table(lyt_ageqrtls, adsl) ## Shift Table Column Structure -We can create the column structure for a standard Shift Table via the `shift_tbl_col_struct` function: +We can create the column structure for a standard Shift Table via the `shift_tbl_col_struct` function (assuming `BNRIND` is a classification at baseline and `ANRIND` is the same classification applied at analysis date): + +```{r} +param <- levels(adlb$PARAMCD)[1] +lyt_shift <- basic_table() |> + shift_tbl_col_struct(var = "BNRIND", + span_lbl = paste("Baseline", param)) + +build_table(lyt_shift, adlb) +``` + +## Some Vs All Column Structure + +The "some vs all" case, motivated by comparing counts of AEs to counts +of treatment-relatead AEs, is similar to the subgroup column +structures, with the exception that the groups being compared are not +mutually exclusive. + +In light of this, `some_v_all_col_struct` creates two subgroup facets +within each treatment group, one containing one or more levels of a +specified subgrouping variable, the other being all levels of the +subgrouping variable. We control this behavior by the combination of +`subgrp_var`, delcaring the variable, and `subgrp_lvls` defining which +levels should be included in the smaller group. + +```{r} +lyt <- basic_table() |> + some_v_all_col_struct(trt_map, + subgrp_var = "AETOXGR", + subgrp_lvls = c("4", "5"), + all_lbl = "All Grades", + subgrp_lbl = "High Toxicity") +build_table(lyt, adae) +``` From f5f0b5ec194f97fe39d998db12e27f844edbff82 Mon Sep 17 00:00:00 2001 From: munoztd0 Date: Fri, 2 Oct 2026 13:35:41 +0000 Subject: [PATCH 26/26] No worries i;m dyslexic too --- R/a_eair_strat_j.R | 4 ++-- vignettes/standard_column_structures.Rmd | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/R/a_eair_strat_j.R b/R/a_eair_strat_j.R index 2ca36285..5cd20ea3 100644 --- a/R/a_eair_strat_j.R +++ b/R/a_eair_strat_j.R @@ -32,7 +32,7 @@ #' #' @return #' * `s_eair_strat_levii_j()` returns a list containing the following statistics: -#' +#' #' \itemize{ #' \item `n_event_total`: total event count across strata (current arm) #' \item `person_years_total`: total person-years across strata (current arm) @@ -48,7 +48,7 @@ #' \item `eair_strat_diff_ci`: CI (Wald type) for the difference in stratified rate #' } #' -#' +#' #' The list of available statistics (core columns) can also be viewed by #' running `junco_get_stats("a_eair_strat_j")`. #' @seealso [a_eair100_j()] diff --git a/vignettes/standard_column_structures.Rmd b/vignettes/standard_column_structures.Rmd index 8ec7b150..67a34d11 100644 --- a/vignettes/standard_column_structures.Rmd +++ b/vignettes/standard_column_structures.Rmd @@ -267,7 +267,7 @@ build_table(lyt_shift, adlb) ## Some Vs All Column Structure The "some vs all" case, motivated by comparing counts of AEs to counts -of treatment-relatead AEs, is similar to the subgroup column +of treatment-related AEs, is similar to the subgroup column structures, with the exception that the groups being compared are not mutually exclusive. @@ -275,7 +275,7 @@ In light of this, `some_v_all_col_struct` creates two subgroup facets within each treatment group, one containing one or more levels of a specified subgrouping variable, the other being all levels of the subgrouping variable. We control this behavior by the combination of -`subgrp_var`, delcaring the variable, and `subgrp_lvls` defining which +`subgrp_var`, declaring the variable, and `subgrp_lvls` defining which levels should be included in the smaller group. ```{r}