Version 2.1.9

Fix a bug where ordered factors were not correctly converted to rank data for non-parametric testing purposes

Version 2.1.8

Fix major bug where percentages were not calculated correctly if factor levels are omitted.
Fix bug with confidence interval functions

Major code refactoring, removing alot of code duplication
The confidence interval column now behaves more similarily to the p-value colum and now supports footnotes.
Fixed github actions and updated documentation
Added Fisher’s exact test for KxL tables
Added exact binomial test for 1xL tables

Fixed some issue in the usage documentation where a code chuck was accidentally hidden
Some work on github actions

knit_print now works properly. R chunks in .Rmd documents don’t need the results = ‘asis’ option anymore.
Tables can now have captions

LaTeX tables will now properly wrap the names of long factor levels and long variable names.

Fixed a bug with paired data, where some of the pairs contain missing. In some cases, tests were not calculated and a misleading error message was produced.

Added the ability to suppress the “Total” column via the format_options(print_Total = FALSE) option.
Exact McNemars test will now calculate confidence intervals for rate differences by leveraging the distribution of the test statistic.
Using (non-exact) McNemars test will now produce a warning, that the confidence intervals for the differences in rates do not consider the paired structure of the data.
Datasets containing variables which inherit from the “Date” class are now automatically converted to factors.

Added the “combine_median_Q1_Q3” argument to format_options, which reshapes these summary statistics to “median (Q1, Q3)”.

Added the following members to format_options: percent_suffix, row_percent, Nmiss_row_percent and absolute_relative_frequency_mode. They can be used to control control how absolute and relative frequencies are displayed.

All tests that previously used continuity correction by default do not use continuity correction anymore.
Added the additional_test_args argument to test_options. This lets the user pass arguments to the underlying test functions, e.g. additional_test_args = list(correct=TRUE) to request continuity correction in chisq.test.