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tidycomm 0.4.2

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.

tidycomm 0.4.1

CRAN release: 2024-02-22

tidycomm 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

tidycomm 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