Minor internal refactoring.

Removes the unnecessary (and confusing)

`significance`

column from all outputs.

To be consistent with the rest of the

`ggstatsverse`

, the Bayes Factor results are now always shown in favor of null over alternative (`BF01`

).`pairwise_comparisons`

function gets`subject.id`

argument relevant for repeated measures design.

The

`label`

column returned in`pairwise_comparisons`

now displays the p-value adjustment method in the label itself.`pairwise_caption`

function has changed its output to reflect changes made to the*p*-value labels.Major internal refactoring to get rid of the following dependencies:

`broomExtra`

,`dunn.test`

,`forcats`

, and`tidyr`

. This comes at the cost of omission of few of the details that were previously included in the output (e.g.,`mean.difference`

column for Student’s*t*-test).

- Hotfix release to fix failing tests due to release of
`tidyBF 0.3.0`

.

Fixes a bug which affected results for within-subjects design when the dataframe wasn’t sorted by

`x`

(#19).This fix also now makes the results more consistent, such that irrespective of which type of statistics is chosen the

`group1`

and`group2`

columns are in identical order.

- Hot fix release to address failing tests on the old release of
`R`

(`3.6`

).

For repeated measures datasets with

`NA`

s present, the Bayes Factor values were incorrect. This is fixed.Internal refactoring to improve data wrangling using

`ipmisc`

.

Removes dependence on

`jmv`

and instead relies on`dunn.test`

and`PMCMRplus`

. This significantly reduces number of dependencies.The non-parametric Dwass test has been changed to Dunn test.

Adapts to breaking changes in upcoming release of

`broom 0.7.0`

.Thanks to Sarah, the package has a hexsticker. :)

Due to changes made to downstream dependencies, the minimum R version expected is bumped to

`3.6.0`

.Adds support for the Bayes Factor tests.

Exports the internal helper function

`pairwise_caption`

.

- Maintenance release to import functions from
`ipmisc`

.

`pairwise_comparisons_caption`

is removed since it was helpful only for`ggstatsplot`

’s internal graphics display and wasn’t of much utility outside of that context.

Instead of cluttering the terminal with messages,

`pairwise_comparisons`

function now instead adds two columns (`test.details`

and`p.value.adjustment`

) to all outputs specifying which test was carried out and which adjustment method is being used for*p*-value correction.Gets rid of

`groupedstats`

and`crayon`

from dependencies.

- With
`jmv 1.0.8`

, the results from the Dwass-Steel-Crichtlow-Fligner test will be slightly different.

The

`p.value.label`

in the output dataframe has been renamed to`label`

to consider the possibility that Bayes Factor tests might also be supported in future.The label now specified whether the

*p*-value was adjusted or not for multiple comparisons.

- First release of the package.