NEWS.md
Gets rid of a NOTE in CRAN’s daily checks.
groupedstats now depends on R 4.1.0.
ipmisc from dependencies.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.
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).Adapts to upcoming releases of lme4 and dplyr 1.0.0
grouped_summary no longer removes NAs in a grouping variable.
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.
ipmisc package.BREAKING CHANGES
robust was recently orphaned. Because of this, grouped_robustslr has been removed.BREAKING CHANGES
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.
MINOR CHANGES
grouped_summary can now work with labeled data (#14).
grouped_summary outputs might differ slightly with skimr 2.0.
MAJOR CHANGES
broomExtra generic functions.BREAKING CHANGES
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.MAJOR CHANGES
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.
broomExtra instead of broom and broom.mixed.
NEW 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 compatible with upcoming releases of skimr 2.0 and dplyr 0.8.0.MAJOR CHANGES
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).
MAJOR CHANGES
lm_effsize_ci(), signif_column(), specify_decimal_p().MAJOR CHANGES
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.
MINOR CHANGES
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).
BUG FUXES
"group". Fixed that.