# statsExpressions 0.6.1 Unreleased

MAJOR CHANGES

• Adds two new helper functions: tidy_model_parameters and tidy_model_performance to toggle between easystats and tidymodels naming conventions.

• Drops broomExtra from dependencies in favor of parameters + performance.

• Removes the unused and vestigial Titanic_full dataset.

# statsExpressions 0.6.0 2020-10-30

BREAKING CHANGES

• Removes the alias expr_onesample_proptest.

• The expr_template function retires effsize.df argument. Now all details need to be entered only in stats.df.

• All meta-analyses are now carried out using expr_meta_random and the individual functions have been removed.

MAJOR CHANGES

• All effect sizes for contingency tabs are now calculated via effectsize instead of rcompanion. This would lead to slight differences in effect sizes and their CIs but the computations will be faster. Additionally, the lower bound will never be negative and will be restricted to [0,1].

• expr_contingency_tab function has been made less robust. It now fails instead of returning NULL when it is not supposed to work. This is done to be consistent with the other functions in the package which also fail instead of returning NULL.

• expr_anova_parametric always applies sphericity correction for p-values for repeated measures ANOVA.

• expr_anova_parametric retires non-partial variants of effect sizes (eta-squared and omega-squared, i.e.) for parametric analyses.

• The t-test and ANOVA tests get subject.id argument relevant for repeated measures design.

MINOR CHANGES

• Retires the vestigial stat.title argument. It was originally intended to give more info on the tests, but now the expressions themselves contain these details.

• For paired ANOVA designs, partial = TRUE is recognized by effect sizes.

• Retires bias.correct argument for contingency table analysis. It is rarely justifiable to use the biased version of Cramer’s V.

# statsExpressions 0.5.1 2020-10-05

MINOR CHANGES

• Adapts tests to changes made in the correlation package.

• Subtitles for correlation tests make clear the type of statistic.

• Small p-values (< 0.001) are now shown in scientific format.

# statsExpressions 0.5.0 2020-09-12

MINOR CHANGES

• Adapts to changes made in tidyBF package.

• Re-exports correlation::correlation needed for ggstatsplot.

• The expr_t_nonparametric subtitle now clarifies whether it’s a Wilcoxon test or a Mann-Whitney test.

# statsExpressions 0.4.2 2020-06-20

MINOR CHANGES

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

• Confidence intervals for Spearman’s rho are computed using correlation instead of rcompanion.

• 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.

# statsExpressions 0.4.1 2020-04-22

BUG FIXES

• Major bug introduced in 0.4.0 release for expr_anova_parametric: changing conf.level doesn’t work and function defaults to 0.90 CIs (#32).

MINOR CHANGES

• Removes extra space contained in subtitles for Bayes Factor results (#31).

# statsExpressions 0.4.0 2020-04-15

BREAKING CHANGES

• Removes the experimental corr_objects function.

• All Bayes Factor related functions have now moved to the new tidyBF package and are re-exported from there.

MAJOR CHANGES

• Minimum R version bumped to R 3.6.0.

• 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 sjstats.

• 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.

MINOR CHANGES

• All expressions now contain name of the statistical test carried out.

# statsExpressions 0.3.1 2020-02-14

• Adds a new function corr_objects to reduce dependency load of ggstatsplot. This is an experimental function and should be avoided until it stabilizes.

# statsExpressions 0.3.0 2020-01-29

NEW FEATURES

• New functions to carry out meta-analysis: expr_meta_bayes.

# statsExpressions 0.2.1 2020-01-23

NEW FEATURES

• New functions to carry out meta-analysis: expr_meta_parametric, expr_meta_robust, bf_meta.

# statsExpressions 0.2.0 2020-01-10

BREAKING CHANGES

• expr_template function now expects two dataframes: stats.df and effsize.df that 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 broom.

MINOR CHANGES

• Minor tweaks to how widehat is displayed in some of the expressions.

• Cramer’s V is bias-corrected by default.

# statsExpressions 0.1.3 2019-12-18

MAJOR CHANGES

• Removes MCMCpack from Depends.

• All effect size texts now contain ^ on top to signify that these are estimates.

# statsExpressions 0.1.2 2019-12-13

MINOR CHANGES

• Maintenance release to fix additional check issues on CRAN.

# statsExpressions 0.1.1 2019-08-28

MINOR CHANGES

• Fixing tests for the new release of rcompanion dependency.

• Minor code refactoring.

# statsExpressions 0.1.0 2019-08-24

• First release of the package.