diff --git a/NAMESPACE b/NAMESPACE index a851ec0e..89d98d2a 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -75,6 +75,7 @@ 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_tidy_pool) @@ -159,6 +160,8 @@ export(s_summary_diff) export(s_test_proportion_diff_mf) export(safe_prune_table) export(set_titles) +export(shift_tbl_col_struct) +export(some_v_all_col_struct) export(stats_in_cols_setup) export(string_to_title) export(summarize_coxreg_multivar) @@ -177,33 +180,23 @@ import(rtables) import(tern) import(tidytlg) importFrom(assertthat,is.string) -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/NEWS.md b/NEWS.md index 665082d7..22816658 100644 --- a/NEWS.md +++ b/NEWS.md @@ -76,6 +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()`, 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/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..5cd20ea3 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 8504cd0f..edd5cc63 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, @@ -200,14 +201,16 @@ 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, - 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) { @@ -565,20 +567,45 @@ combodf_to_comp_map <- function(combodf, ref_lvls, all_base_lvls) { #' column structures added #' #' -#' @family riskdiff_col_struct +#' @family std_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, - 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] @@ -620,8 +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) @@ -688,3 +713,341 @@ 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) } + + +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, + if (!is.null(colspan_trt_map)) .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`. +#' @param subgrp_var (`character(1)` or `NULL`)\cr the name of the +#' subgroup variable to split by within the `trtvar` split +#' @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 `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 +#' `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 `subgrp_var`. +#' @export +#' @examples +#' dat <- 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( +#' 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() |> +#' grouped_cols_w_subgrps( +#' colspan_trt_map, +#' subgrp_var = "SEX", +#' subgrp_lbl = "SUB_*" +#' ) |> +#' analyze("TRT01A", afun = function(x, ...) length(x)) +#' +#' build_table(lyt, dat) +grouped_cols_w_subgrps <- function( + lyt, + colspan_trt_map = NULL, + combo_map_df = NULL, + trtvar = names(colspan_trt_map)[2], + subgrp_var = NULL, + subgrp_lbl = subgrp_var, + total_facet = TRUE, + total_lbl = "Total", + .pre = list(), + .post = list() +) { + if (is.null(trtvar)) { + stop("trtvar must be specified if no colspan map is provided.") + } + + 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." + ) + } + + ## 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 = make_split_fun( + post = list( + add_overall_facet(subgrp_lbl, subgrp_lbl), + restrict_facets(subgrp_lbl, op = "keep") + ) + ) + ) |> + split_cols_by( + subgrp_var, + ## NULL is default behavior so this is ok + split_fun = if (total_facet) add_overall_level(total_lbl, first = TRUE) + ) + lyt +} + +#' 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 +#' —————————————————————————————————————————————————————————————— +#' ``` +#' +#' @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 +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 +} + +#' 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 +#' level(s) of `subgrp_var`) 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, +#' subgrp_var = "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], + subgrp_var = NULL, + subgrp_lbl = subgrp_var, + 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(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." + ) + } + + 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( + subgrp_var, + split_fun = make_split_fun( + post = list( + add_overall_facet(all_lbl, label = all_lbl), + add_combo_facet( + name = paste0(subgrp_var, "_subset"), + label = subgrp_lbl, + levels = subgrp_lvls + ), + restrict_facets( + c(all_lbl, paste0(subgrp_var, "_subset")), + op = "keep" + ) + ) + ) + ) + + lyt +} diff --git a/_pkgdown.yml b/_pkgdown.yml index 3af6322e..844dc899 100644 --- a/_pkgdown.yml +++ b/_pkgdown.yml @@ -131,11 +131,13 @@ reference: - create_colspan_map - create_colspan_var - grouped_cols_w_diffs + - shift_tbl_col_struct - do_exclude_split - make_combo_splitfun - make_multicomp_splfun - stats_in_cols_setup - 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. diff --git a/inst/WORDLIST b/inst/WORDLIST index 8a570a53..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 @@ -172,10 +175,10 @@ py qquad rbmi referene +relabelled removerowtext responder responders -riskdiff rlistings rowdf rowlabel @@ -200,6 +203,7 @@ str struct subcol subfacet +subgrouping summarization summarizations tbldf @@ -215,10 +219,6 @@ unicodify unlist unrounded unstratified -VR wald wordbreaking xlsx -relabelled -natively - 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 c1efa810..1523ce65 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 +17,19 @@ 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], + subgrp_var = NULL, + subgrp_lbl = subgrp_var, + total_facet = TRUE, + total_lbl = "Total", + .pre = list(), + .post = list() +) } \arguments{ \item{lyt}{(\code{PreDataTableLayouts}). The layout to modify. This @@ -57,6 +71,31 @@ 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{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{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)} 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{subgrp_var}? Defaults to +\code{TRUE}.} + +\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 @@ -113,9 +152,68 @@ 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{subgrp_var}. +} +\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) +dat <- 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( + 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() |> + grouped_cols_w_subgrps( + colspan_trt_map, + subgrp_var = "SEX", + subgrp_lbl = "SUB_*" + ) |> + analyze("TRT01A", afun = function(x, ...) length(x)) + +build_table(lyt, dat) } \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..12808265 --- /dev/null +++ b/man/shift_tbl_col_struct.Rd @@ -0,0 +1,56 @@ +% 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{
}} +} +\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()}}, +\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 new file mode 100644 index 00000000..f56ebd13 --- /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], + subgrp_var = NULL, + subgrp_lbl = subgrp_var, + 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{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}} + +\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.} +} +\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{subgrp_var}) 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, + subgrp_var = "GRADE", + subgrp_lvls = c("Grade 4", "Grade 5"), + subgrp_lbl = "High Grade", + all_lbl = "All Grades") + +build_table(lyt, dat) + +} 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 - - $default - [[1]] - txt font.size italic bold underlined strike color shading.color font.family - 1 NA NA NA NA NA - hansi.family eastasia.family cs.family vertical.align width 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$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 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.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" - - 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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 38 table cell 2 1 a - 42 39 table cell 1 1 3/134 (2.2%) - 43 40 table cell 1 1 2/134 (1.5%) - 44 41 table cell 1 1 3/132 (2.3%) - 45 42 table cell 1 1 CHE - 46 43 table cell 1 1 0/134 (0.0%) - 47 44 table cell 1 1 0/134 (0.0%) - 48 45 table cell 1 1 0/132 (0.0%) - 49 46 table cell 1 1 \n - 50 46 table cell 2 1 a - 51 46 table cell 3 1 Canada - 52 46 table cell 4 1 \n - 53 46 table cell 5 1 This - 54 46 table 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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 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[1] 4 - - $default - [1] FALSE - - attr(,"class") - [1] "fpstruct" - - $underlined - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] FALSE - - attr(,"class") - [1] "fpstruct" - - $strike - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] FALSE - - attr(,"class") - [1] "fpstruct" - - $font.family - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "Arial" - - attr(,"class") - [1] "fpstruct" - - $hansi.family - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "Arial" - - attr(,"class") - [1] "fpstruct" - - $eastasia.family - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "Arial" - - attr(,"class") - [1] "fpstruct" - - $cs.family - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" 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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" - - $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" - - $shading.color - $data - COL0 COL1 COL2 - [1,] "transparent" "transparent" "transparent" - [2,] "transparent" "transparent" "transparent" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] "transparent" - - attr(,"class") - [1] "fpstruct" - - $keep_with_next - $data - COL0 COL1 COL2 - [1,] FALSE FALSE FALSE - [2,] FALSE FALSE FALSE - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] FALSE - - attr(,"class") - [1] "fpstruct" - - $word_style - $data - COL0 COL1 COL2 - [1,] "caption" "caption" "caption" - [2,] "Normal" "Normal" "Normal" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] "Normal" - - attr(,"class") - [1] "fpstruct" - - $tabs - $data - COL0 COL1 COL2 - [1,] "left_0.8" NA NA - [2,] NA NA NA - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $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" - [2,] "black" "black" "black" - - $keys - [1] "COL0" "COL1" "COL2" - - $nrow - [1] 2 - - $ncol - [1] 3 - - $default - [1] "black" - - attr(,"class") - [1] "fpstruct" - - 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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 - 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.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.width.bottom - $data - V1 V2 V3 V4 - [1,] 0.875 0.875 0.875 0.875 - [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,] 0.875 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.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" 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attr(,"class") - [1] "fpstruct" - - $padding.bottom - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] 5 - - attr(,"class") - [1] "fpstruct" - - $padding.top - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] 5 - - attr(,"class") - [1] "fpstruct" - - $padding.left - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] 5 - - attr(,"class") - [1] "fpstruct" - - $padding.right - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] 5 - - attr(,"class") - [1] "fpstruct" - - $line_spacing - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] 1 - - attr(,"class") - [1] "fpstruct" - - $border.width.bottom - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.width.top - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.width.left - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.width.right - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.color.bottom - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "black" - - attr(,"class") - [1] "fpstruct" - - $border.color.top - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "black" - - attr(,"class") - [1] "fpstruct" - - $border.color.left - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "black" - - attr(,"class") - [1] "fpstruct" - - $border.color.right - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "black" - - attr(,"class") - [1] "fpstruct" - - $border.style.bottom - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "solid" - - attr(,"class") - [1] "fpstruct" - - $border.style.top - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "solid" - - attr(,"class") - [1] "fpstruct" - - $border.style.left - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "solid" - - attr(,"class") - [1] "fpstruct" - - $border.style.right - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "solid" - - attr(,"class") - [1] "fpstruct" - - $shading.color - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "transparent" - - attr(,"class") - [1] "fpstruct" - - $keep_with_next - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] FALSE - - attr(,"class") - [1] "fpstruct" - - $word_style - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "Normal" - - attr(,"class") - [1] "fpstruct" - - $tabs - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] NA - - attr(,"class") - [1] "fpstruct" - - attr(,"class") - [1] "par_struct" - - $styles$text - $color - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "black" - - attr(,"class") - [1] "fpstruct" - - $font.size - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] 11 - - attr(,"class") - [1] "fpstruct" - - $bold - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] FALSE - - attr(,"class") - [1] "fpstruct" - - $italic - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] FALSE - - attr(,"class") - [1] "fpstruct" - - $underlined - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] FALSE - - attr(,"class") - [1] "fpstruct" - - $strike - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] FALSE - - attr(,"class") - [1] "fpstruct" - - $font.family - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "Arial" - - attr(,"class") - [1] "fpstruct" - - $hansi.family - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "Arial" - - attr(,"class") - [1] "fpstruct" - - $eastasia.family - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "Arial" - - attr(,"class") - [1] "fpstruct" - - $cs.family - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "Arial" - - attr(,"class") - [1] "fpstruct" - - $vertical.align - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "baseline" - - attr(,"class") - [1] "fpstruct" - - $shading.color - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "transparent" - - attr(,"class") - [1] "fpstruct" - - attr(,"class") - [1] "text_struct" - - - attr(,"class") - [1] "complex_tabpart" - ---- - - Code - res$col_keys - Output - [1] "V1" "V2" "V3" "V4" - ---- - - 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 output id: - 2 1 table cell 2 1 \t - 3 1 table cell 3 1 this is a test title - 4 2 table cell 1 1 - 5 3 table cell 1 1 A: Drug X (N=134) - 6 4 table cell 1 1 B: Placebo (N=134) - 7 5 table cell 1 1 C: Combination (N=132) - 8 6 table cell 1 1 CHN - 9 7 table cell 1 1 74/134 (55.2%) - 10 8 table cell 1 1 81/134 (60.4%) - 11 9 table cell 1 1 64/132 (48.5%) - 12 10 table cell 1 1 USA - 13 11 table cell 1 1 10/134 (7.5%) - 14 12 table cell 1 1 13/134 (9.7%) - 15 13 table cell 1 1 17/132 (12.9%) - 16 14 table cell 1 1 BRA - 17 15 table cell 1 1 13/134 (9.7%) - 18 16 table cell 1 1 7/134 (5.2%) - 19 17 table cell 1 1 10/132 (7.6%) - 20 18 table cell 1 1 PAK - 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" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] FALSE - - attr(,"class") - [1] "fpstruct" - - $underlined - $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" - - $strike - $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" - - $font.family - $data - V1 V2 V3 V4 - [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" - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] "Arial" - - attr(,"class") - [1] "fpstruct" - - $hansi.family - $data - V1 V2 V3 V4 - [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" - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] "Arial" - - attr(,"class") - [1] "fpstruct" - - $eastasia.family - $data - V1 V2 V3 V4 - [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" - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] "Arial" - - attr(,"class") - [1] "fpstruct" - - $cs.family - $data - V1 V2 V3 V4 - [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" - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 2 - - $ncol - [1] 4 - - $default - [1] "Arial" - - attr(,"class") - [1] "fpstruct" - - $vertical.align - $data - V1 V2 V3 V4 - [1,] "baseline" "baseline" "baseline" "baseline" - [2,] "baseline" "baseline" "baseline" "baseline" - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - 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$styles$cells - $vertical.align - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "center" - - attr(,"class") - [1] "fpstruct" - - $width - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] NA - - attr(,"class") - [1] "fpstruct" - - $height - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] NA - - attr(,"class") - [1] "fpstruct" - - $margin.bottom - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $margin.top - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $margin.left - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $margin.right - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.width.bottom - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.width.top - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.width.left - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.width.right - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.color.bottom - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "transparent" - - attr(,"class") - [1] "fpstruct" - - $border.color.top - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "transparent" - - attr(,"class") - [1] "fpstruct" - - $border.color.left - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "transparent" - - attr(,"class") - [1] "fpstruct" - - $border.color.right - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "transparent" - - attr(,"class") - [1] "fpstruct" - - $border.style.bottom - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "solid" - - attr(,"class") - [1] "fpstruct" - - $border.style.top - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "solid" - - attr(,"class") - [1] "fpstruct" - - $border.style.left - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "solid" - - attr(,"class") - [1] "fpstruct" - - $border.style.right - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "solid" - - attr(,"class") - [1] "fpstruct" - - $text.direction - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "lrtb" - - attr(,"class") - [1] "fpstruct" - - $background.color - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "transparent" - - attr(,"class") - [1] "fpstruct" - - $hrule - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "auto" - - attr(,"class") - [1] "fpstruct" - - attr(,"class") - [1] "cell_struct" - - $styles$pars - $text.align - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "left" - - attr(,"class") - [1] "fpstruct" - - $padding.bottom - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] 5 - - attr(,"class") - [1] "fpstruct" - - $padding.top - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] 5 - - attr(,"class") - [1] "fpstruct" - - $padding.left - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] 5 - - attr(,"class") - [1] "fpstruct" - - $padding.right - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] 5 - - attr(,"class") - [1] "fpstruct" - - $line_spacing - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] 1 - - attr(,"class") - [1] "fpstruct" - - $border.width.bottom - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.width.top - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.width.left - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.width.right - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] 0 - - attr(,"class") - [1] "fpstruct" - - $border.color.bottom - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "black" - - attr(,"class") - [1] "fpstruct" - - $border.color.top - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "black" - - attr(,"class") - [1] "fpstruct" - - $border.color.left - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "black" - - attr(,"class") - [1] "fpstruct" - - $border.color.right - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "black" - - attr(,"class") - [1] "fpstruct" - - $border.style.bottom - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "solid" - - attr(,"class") - [1] "fpstruct" - - $border.style.top - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "solid" - - attr(,"class") - [1] "fpstruct" - - $border.style.left - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "solid" - - attr(,"class") - [1] "fpstruct" - - $border.style.right - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "solid" - - attr(,"class") - [1] "fpstruct" - - $shading.color - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "transparent" - - attr(,"class") - [1] "fpstruct" - - $keep_with_next - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] FALSE - - attr(,"class") - [1] "fpstruct" - - $word_style - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "Normal" - - attr(,"class") - [1] "fpstruct" - - $tabs - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] NA - - attr(,"class") - [1] "fpstruct" - - attr(,"class") - [1] "par_struct" - - $styles$text - $color - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "black" - - attr(,"class") - [1] "fpstruct" - - $font.size - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] 11 - - attr(,"class") - [1] "fpstruct" - - $bold - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] FALSE - - attr(,"class") - [1] "fpstruct" - - $italic - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] FALSE - - attr(,"class") - [1] "fpstruct" - - $underlined - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] FALSE - - attr(,"class") - [1] "fpstruct" - - $strike - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] FALSE - - attr(,"class") - [1] "fpstruct" - - $font.family - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "Arial" - - attr(,"class") - [1] "fpstruct" - - $hansi.family - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "Arial" - - attr(,"class") - [1] "fpstruct" - - $eastasia.family - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "Arial" - - attr(,"class") - [1] "fpstruct" - - $cs.family - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "Arial" - - attr(,"class") - [1] "fpstruct" - - $vertical.align - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "baseline" - - attr(,"class") - [1] "fpstruct" - - $shading.color - $data - V1 V2 V3 V4 - - $keys - [1] "V1" "V2" "V3" "V4" - - $nrow - [1] 0 - - $ncol - [1] 4 - - $default - [1] "transparent" - - attr(,"class") - [1] "fpstruct" - - attr(,"class") - [1] "text_struct" - - - attr(,"class") - [1] "complex_tabpart" - ---- - - Code - res$col_keys - Output - [1] "V1" "V2" "V3" "V4" - ---- - - 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 spanning header 1 - 2 2 table cell 1 1 spanning header 2 - 3 3 table cell 1 1 - 4 4 table cell 1 1 A: Drug X (N=134) - 5 5 table cell 1 1 B: Placebo (N=134) - 6 6 table cell 1 1 C: Combination (N=132) - 7 7 table cell 1 1 CHN - 8 8 table cell 1 1 74/134 (55.2%) - 9 9 table cell 1 1 81/134 (60.4%) - 10 10 table cell 1 1 64/132 (48.5%) - 11 11 table cell 1 1 USA - 12 12 table cell 1 1 10/134 (7.5%) - 13 13 table cell 1 1 13/134 (9.7%) - 14 14 table cell 1 1 17/132 (12.9%) - 15 15 table cell 1 1 BRA - 16 16 table cell 1 1 13/134 (9.7%) - 17 17 table cell 1 1 7/134 (5.2%) - 18 18 table cell 1 1 10/132 (7.6%) - 19 19 table cell 1 1 PAK - 20 20 table cell 1 1 12/134 (9.0%) - 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 - 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 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Roman Times New Roman - 237 Times New Roman Times New Roman Times New Roman Times New Roman - 238 Times New Roman Times New Roman Times New Roman Times New Roman - 239 Times New Roman Times New Roman Times New Roman Times New Roman - 240 Times New Roman Times New Roman Times New Roman Times New Roman - 241 Times New Roman Times New Roman Times New Roman Times New Roman - 242 Times New Roman Times New Roman Times New Roman Times New Roman - 243 Times New Roman Times New Roman Times New Roman Times New Roman - 244 Times New Roman Times New Roman Times New Roman Times New Roman - 245 Times New Roman Times New Roman Times New Roman Times New Roman - 246 Times New Roman Times New Roman Times New Roman Times New Roman - 247 Times New Roman Times New Roman Times New Roman Times New Roman - 248 Times New Roman Times New Roman Times New Roman Times New Roman - 249 Times New Roman Times New Roman Times New Roman Times New Roman - 250 Times New Roman Times New Roman Times New Roman Times New 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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 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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 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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 32ba20a1..2e6fecc1 100644 --- a/tests/testthat/test-colstruct.R +++ b/tests/testthat/test-colstruct.R @@ -416,3 +416,280 @@ 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 with a spanning header", { + + subgrp_var <- "SEX" + subgrp_lbl <- "SUB_*" + subgrp_data <- adsl |> + mutate(!!subgrp_var := factor(rep(c("Female", "Male"), length.out = n()))) + + lyt1 <- basic_table() |> + grouped_cols_w_subgrps( + colspan_trt_map, + 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[[subgrp_var]])) + 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, subgrp_lbl, subgrp_var, lvl + ) + } + ) + } + ), + recursive = FALSE + ) + ) +}) + +test_that("grouped_cols_w_subgrps works without a spanning header", { + + 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)) + ) + + lyt1 <- basic_table() |> + grouped_cols_w_subgrps( + colspan_trt_map = NULL, + trtvar = "ARM", + subgrp_var = subgrp_var, + subgrp_lbl = subgrp_lbl + ) |> + analyze(subgrp_var, afun = function(x, ...) length(x)) + + tbl1 <- build_table(lyt1, subgrp_data) + + subgrp_lvls <- c("Total", levels(subgrp_data[[subgrp_var]])) + expect_equal( + unclass(col_paths(tbl1)), + unlist( + lapply( + levels(subgrp_data$ARM), + function(lvl) { + lapply( + subgrp_lvls, + function(subgrplvl) { + c("ARM", lvl, "ARM", subgrp_lbl, subgrp_var, subgrplvl) + } + ) + } + ), + recursive = FALSE + ) + ) +}) + +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) + ) + ) + ) +}) + +test_that("some_v_all_col_struct works with a spanning header", { + 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)) + ) + 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, + subgrp_var = subgrp_var, + subgrp_lvls = c("Grade 4", "Grade 5"), + subgrp_lbl = "High Grade", + all_lbl = "All Grades" + ) |> + analyze(subgrp_var, 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]], subgrp_var, "All Grades"), + c(spanvar, rw[[spanvar]], trtvar, rw[[trtvar]], subgrp_var, "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" + subgrp_var <- "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, + subgrp_var = subgrp_var, + subgrp_lvls = c("Grade 4", "Grade 5"), + subgrp_lbl = "High Grade", + all_lbl = "All Grades" + ) |> + analyze(subgrp_var, afun = function(x, ...) length(x)) + + tbl <- build_table(lyt, dat) + + expected <- unlist( + lapply( + levels(dat[[trtvar]]), + function(lvl) { + list( + c(trtvar, lvl, subgrp_var, "All Grades"), + c(trtvar, lvl, subgrp_var, "GRADE_subset") + ) + } + ), + recursive = FALSE + ) + + expect_equal(unclass(col_paths(tbl)), expected) +}) + +test_that("We can make quartile column structs withand without spanner via subgrp fun", { + trtvar <- "TRT01A" + var <- "WEIGHTGR1" + subgrp_lbl <- "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)), + 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", + 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() |> + grouped_cols_w_subgrps( + subgrp_var = var, + colspan_trt_map = colspan_trt_map, + subgrp_lbl = subgrp_lbl, + total_facet = FALSE + ) |> + analyze(var, afun = function(x, ...) length(x)) + + tbl <- build_table(lyt, dat) + + spanvar <- names(colspan_trt_map)[1] + + expect_equal(col_paths(tbl)[[8]], + 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), + c(rep("Active Treatment", 4), + rep("Control", 4))) + + lyt2 <- basic_table() |> + grouped_cols_w_subgrps( + ## note we need to specify trtvar here + ## since there is no colspan_trt_map + trtvar = trtvar, + subgrp_var = var, + subgrp_lbl = subgrp_lbl, + total_facet = FALSE + ) |> + 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..67a34d11 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) ``` @@ -192,4 +193,97 @@ 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, subgrp_var = "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", subgrp_var = "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, + subgrp_var = "AGEGR1", + subgrp_lbl = "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 (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-related 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`, declaring 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) ```