groupedstats 0.0.6

NEW FUNCTIONS

• 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

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

groupedstats 0.0.4

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).

groupedstats 0.0.3

MAJOR CHANGES

• New functions exported: lm_effsize_ci(), signif_column(), specify_decimal_p().

groupedstats 0.0.2

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

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

groupedstats 0.0.1

• First version of the package.