-
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
andgroup2
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 ondunn.test
andPMCMRplus
. 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 forggstatsplot
'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
andp.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
andcrayon
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 tolabel
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.