effectsizepackage instead of
sjstatsto compute eta and omega squared effect sizes in
lm_effsize_cifunction. This is a breaking change because the effect size names are slightly different (e.g., what
sjstatsstored in a column
etasqis not renamed to
Adapts to upcoming releases of
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
robustwas recently orphaned. Because of this,
grouped_robustslrhas been removed.
To be consistent with other packages that
groupedstats relies on or supports the confidence intervals columns for
grouped_summary have been renamed to
To be consistent with the rest of the functions,
grouped_glmer follow the same syntax as
grouped_summary can now work with labeled data (#14).
grouped_summary outputs might differ slightly with
signif_columnno longer works with vectors and expects dataframe (
dataargument can no longer be
NULL, i.e.). This is to remain consistent with rest of the functions in this package.
README that this package is retired and future releases will focus only on maintenance and bug fixes.
Code refactoring of all utility functions.
grouped_augment. These provide the most general form of
grouped_versions of generic functions from
broompackage family. They can be used to carry out grouped analysis for any function that has a
groupedstatscompatible with upcoming releases of
New functions exported:
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
groupedstats now depends on
R 3.5.0. This is because some of its dependencies require
3.5.0 to work (e.g.,
To be consistent with the rest of the regression model functions,
grouped_glm now takes a
formula argument rather than
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 (
"group". Fixed that.