NEWS.md

In pairwiseComparisons: Multiple Pairwise Comparison Tests

pairwiseComparisons 3.1.6

• Maintenance and internal changes.

• Improvements to docs.

pairwiseComparisons 3.1.5

• To avoid confusion among users, the trimming level for all functions is now changed from tr = 0.1 to tr = 0.2 (which is what WRS2 defaults to).

• The ... are now passed to other methods. This can be used to specify additional arguments, like alternative (#28).

• Gets rid of iris_long dataset, which was not used in the package.

pairwiseComparisons 3.1.3

• Minor internal refactoring.

• Removes insight from dependencies.

pairwiseComparisons 3.1.2

• Minor internal refactoring.

pairwiseComparisons 3.1.1

• Minor internal refactoring.

• Removes the unnecessary (and confusing) significance column from all outputs.

pairwiseComparisons 3.1.0

• 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.

pairwiseComparisons 3.0.0

• 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).

pairwiseComparisons 2.0.1

• Hotfix release to fix failing tests due to release of tidyBF 0.3.0.

pairwiseComparisons 2.0.0

• 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.

pairwiseComparisons 1.1.2

• Hot fix release to address failing tests on the old release of R (3.6).

pairwiseComparisons 1.1.1

• For repeated measures datasets with NAs present, the Bayes Factor values were incorrect. This is fixed.

• Internal refactoring to improve data wrangling using ipmisc.

pairwiseComparisons 1.0.0

• 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.

pairwiseComparisons 0.3.1

• Adapts to breaking changes in upcoming release of broom 0.7.0.

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

pairwiseComparisons 0.3.0

• 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.

pairwiseComparisons 0.2.5

• Maintenance release to import functions from ipmisc.

pairwiseComparisons 0.2.0

• 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.

pairwiseComparisons 0.1.3

• 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.

pairwiseComparisons 0.1.2

• With jmv 1.0.8, the results from the Dwass-Steel-Crichtlow-Fligner test will be slightly different.

pairwiseComparisons 0.1.1

• 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.

pairwiseComparisons 0.1.0

• First release of the package.

pairwiseComparisons documentation built on June 2, 2021, 1:06 a.m.