- 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`

.

- 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`

).

Adapts to upcoming releases of

`lme4`

and`dplyr 1.0.0`

`grouped_summary`

no longer removes`NA`

s 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`

.

- This is a maintenance release that gets rid of some of the internal functions by relying on
`ipmisc`

package.

BREAKING CHANGES

- The R package
`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

- Major refactoring of all generalized regression model functions using
`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.

- Maintenance release. The only change is that the package relies on
`broomExtra`

instead of`broom`

and`broom.mixed.`

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.

- Maintenance release: Makes
`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

- New functions exported:
`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; itâ€™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.

- First version of the package.