Changes in version 0.4.2 (2025-08-27) Installation / Compatibility - Minimum required R version increased from 2.10 to 3.6.0. Bugfixes - Updated GGally usage to rely on ggmatrix class instead of gg, ensuring compatibility with the latest ggplot2 changes. - Migrated tests to testthat v3 to maintain correct test behavior. Documentation - Merged README.Rmd with index for pkgdown site. - Updated links to reflect the new GitHub organization (https://github.com/tidycomm/tidycomm). - Enabled Bootstrap 5 and light/dark switch for the pkgdown documentation site. Changes in version 0.4.1 (2024-02-22) Changes in version 0.3.0 New features - Converted tibble returns into tdcmm/tibble return objects (they behave just like tibbles but are in essence our own objects now) - Added partial correlation in correlate(..., partial = z_var) - Added correlation with a focus variable correlate(..., with = focus_var) - Added linear regression regress() - Added one-sample t-test t_test(..., mu = ...) - Added reverse_scale(), minmax_scale(), z_scale(), center_scale(), setna_scale(), recode_cat_scale(), recode_scale(), and dummify_cale() to shift and modify continuous and categorical scales - Added tab_percentiles() - Added visualize() to visualize almost everything - Added snscomments and incvlcomments as additional data sets Minor changes - Changed unianova() and t_test() to build on leveneTest() - Allowed test_icr() to work with grouped data - Converted all code examples in documentation to be built on tidycomm-provided data sets - Added omega_squared, Levene_p, and var_equal columns to default return from unianova() - Added d, se, t, and df - Removed null.value from list of return values in unianova() post-hoc test - Renamed unianova() return column names to Variable (previously: Var), Group_Var (prev. term), Delta_M (prev. estimate), p (prev. adj.p.value), conf.lower and conf.upper (prev. conf.low and conf.high) Bugfixes - Unified output to coherent number of after-comma digits Changes in version 0.2.0 New features - Added Fretwurst's Lotus and S-Lotus intercoder reliability coeffecients to test_icr() function - describe_cat() function added to describe categorical variables Minor changes - More descriptive error messages for common errors - describe() now also reports 95% confidence intervals - describe() now reports valid N instead of full N - test_icr() now works with tidyselect selection Bugfixes - Empty groups are dropped if describing with more than one grouping variable - Krippendorff's Alpha returns 1 if variable has only one category - unianova() now works with variable names containing whitespace - Groups are dropped for test_icr() to avoid computational issues