Adapts to changes made in
correlation::correlation needed for
Thanks to Sarah, the package has a hexsticker. :)
Confidence intervals for Spearman’s rho are computed using
correlation instead of
All relevant functions get rid of
messages argument as the functions no longer print a message when bootstrapped CIs are used.
The effect size measure for paired robust t-test is now changed to robust (trimmed-Winsorized) standardized difference similar to Cohen’s d.
conf.leveldoesn’t work and function defaults to
Removes the experimental
All Bayes Factor related functions have now moved to the new
tidyBF package and are re-exported from there.
Minimum R version bumped to
Retires the internal
effsize_t_parametric helper function in favor of relying functions from
effectsize, which is now added as a dependency. Similarly,
statsExpressions now relies on
effectsize to compute effect sizes for ANOVA designs, instead of
For parametric t-tests and ANOVAs, confidence intervals for effect sizes are estimated using the noncentrality parameter method. Centrality-based methods are deprecated.
Correlation analysis is carried out using
correlation package, which is now added as a dependency.
corr_objectsto reduce dependency load of
ggstatsplot. This is an experimental function and should be avoided until it stabilizes.
expr_templatefunction now expects two dataframes:
effsize.dfthat contain the details needed for creating expressions instead of providing each individual values. This makes the function more friendly work with using modeling packages like
Minor tweaks to how widehat is displayed in some of the expressions.
Cramer’s V is bias-corrected by default.
All effect size texts now contain
^ on top to signify that these are estimates.