Adjust user settings

Test datafiles

• The settings in the template are already adjusted for the test datafiles
• Move on to examine the "samples" tab

Your datafiles

• the highlighted settings must be adjusted to suit your data
• improper settings will result in the following:
  • a) exclusion of data in the pre-filtering step. No curve fitted. Python output of "insufficient_highresponse_datapoints", or "insufficient_lowresponse_datapoints".
  • b) correct curvefitting, but good data is improperly labelled as "data_needs_checking" (label indicating bad data).

How to determine the correct values?

• run ECCpy on the test datafiles and play around with the settings
• read the detailed notes for each variable in the excel settings file
• if you're completely lost, send us an email containing example data (link to GitHub profile)

NEXT STEP: Adjust samplenames