groupedstats Unreleased

groupedstats 1.0.1 2020-05-29

  • Fixes failing tests and warnings with the upcoming release of dplyr 1.0.0.
  • Removes datasets since all of them are already present in ggstatsplot.

groupedstats 1.0.0 2020-05-05

  • Relies on effectsize package instead of sjstats to compute eta and omega squared effect sizes in lm_effsize_ci function. This is a breaking change because the effect size names are slightly different (e.g., what sjstats stored in a column etasq is not renamed to eta.sq).

groupedstats 0.2.2 2020-04-05

  • Adapts to upcoming releases of lme4 and dplyr 1.0.0

  • grouped_summary no longer removes NAs in a grouping variable.

groupedstats 0.2.1 2020-03-17

  • grouped_summary function failed when the dataframe contained a column named variable (#24). This is fixed.

  • Makes package compatible with the new releases of rlang and tidyselect.

groupedstats 0.2.0 2020-02-28

  • This is a maintenance release that gets rid of some of the internal functions by relying on ipmisc package.

groupedstats 0.1.1 2020-01-14


  • The R package robust was recently orphaned. Because of this, grouped_robustslr has been removed.

groupedstats 0.1.0 2019-11-21


  • To be consistent with other packages that groupedstats relies on or supports the confidence intervals columns for grouped_summary have been renamed to mean.conf.high and mean.conf.low.

  • To be consistent with the rest of the functions, grouped_lmer and grouped_glmer follow the same syntax as grouped_lm.


  • grouped_summary can now work with labeled data (#14).

  • grouped_summary outputs might differ slightly with skimr 2.0.

groupedstats 0.0.9 2019-08-28


  • Major refactoring of all generalized regression model functions using broomExtra generic functions.

groupedstats 0.0.8 2019-08-07


  • signif_column no longer works with vectors and expects dataframe (data argument can no longer be NULL, i.e.). This is to remain consistent with rest of the functions in this package.


  • Flags in README that this package is retired and future releases will focus only on maintenance and bug fixes.

  • Code refactoring of all utility functions.

groupedstats 0.0.7 2019-06-05

  • Maintenance release. The only change is that the package relies on broomExtra instead of broom and broom.mixed.

groupedstats 0.0.6 2019-03-20


  • New re-exported functions: grouped_tidy, grouped_glance, grouped_augment. These provide the most general form of grouped_ versions of generic functions from broom package family. They can be used to carry out grouped analysis for any function that has a data argument.

groupedstats 0.0.5 2019-01-21

  • Maintenance release: Makes groupedstats compatible with upcoming releases of skimr 2.0 and dplyr 0.8.0.

groupedstats 0.0.4 2018-12-01


  • New functions exported: set_cwd()

  • specify_decimal_p has been modified because it produced incorrect results when k < 3 and p.value = TRUE (e.g., 0.002 was printed as < 0.001).

  • groupedstats now depends on R 3.5.0. This is because some of its dependencies require 3.5.0 to work (e.g., broom.mixed).

groupedstats 0.0.3 2018-10-05


groupedstats 0.0.2 2018-07-19


  • New functions added: grouped_lm(), grouped_aov(), grouped_lmer(), grouped_glmer().

  • To be consistent with the rest of the regression model functions, grouped_glm now takes a formula argument rather than dep.vars and indep.vars arguments.

  • The package no longer exports tidy eval functions; it’s not part of the tidyverse.


  • For numeric variables, grouped_summary now also outputs standard error of mean and 95% confidence intervals for the mean.

  • Added datasets (Titanic_full, movies_long).


  • Some functions were not working if the grouping variable was called "group". Fixed that.

groupedstats 0.0.1 2018-07-05

  • First version of the package.