MAJOR CHANGES - For the sake of consistency, theme_mprl is now called theme_ggstatsplot. The theme_mprl function will still be around and will not be deprecated, so feel free to use either or both of them since they are identical. - ggcoefstats no longer has arguments effects and ran_params because only fixed effects are shown for mixed-effects models. - ggpiestats can now handle within-subjects designs (McNemar test).
BUG FIXES - ggbetweenstats was producing wrong axes labels when sample.size.label was set to TRUE and user had reordered factor levels before using this function. The new version fixes this. - ggcoefstats wasn’t producing partial omega-squared for aovlist objects. Fixed that with new version of sjstats.
MINOR CHANGES - Removed the trailing comma from the robust correlation analyses. - gghistostats has a new argument to remove color fill gradient. - ggbetweenstats takes new argument mean.ci to show confidence intervals for the mean values. - For lmer models, p-values are now computed using sjstats::p_value. This removes lmerTest package from dependencies. - sjstats no longer suggests apaTables package to compute confidence intervals for partial eta- and omega-squared. Therefore, apaTables and MBESS are removed from dependencies. - ggscatterstats supports densigram with the development version of ggExtra. It additionally gains few extra arguments to change aesthetics of marginals (alpha, size, etc.).
MAJOR CHANGES
ggcoefstats for displaying model coefficients.ggtheme argument that can be used to change the default theme, which has now been changed from theme_grey() to theme_bw().MASS::rlm, but percentage bend correlation, as implemented in WRS2::pbcor. This was done to be consistent across different functions. ggcorrmat also uses percentage bend correlation as the robust correlation measure. This also means that ggstatsplot no longer imports MASS and sfsmisc.data argument is no longer NULL for all functions, except gghistostats. In other words, the user must provide a dataframe from which variables or formulas should be selected.12 to 11.MINOR CHANGES
nortest from imports.ggpiestats can now handle dataframes withggbetweenstats and ggpiestats now display sample sizes for each level of the groping factor by default. This behavior can be turned off by setting sample.size.label to FALSE.Titanic_full, movies_wide, movies_long.boot::boot. Therefore, the package no longer imports DescTools.legend.title.margin arguments for gghistostats and ggcorrmat now default to FALSE, since ggplot2 3.0.0 has better legend title margins.ggpiestats now sorts the summary dataframes not by percentages but by the levels of main variable. This was done to have the same legends across different levels of a grouping variable in grouped_ggpiestats.ggpiestats no longer shows titles for the tests run (these were “Proportion test” and “Chi-Square test”). From the pie charts, it should be obvious to the user or reader what test was run.gghistostats also allows running robust version of one-sample test now (One-sample percentile bootstrap).NEW FEATURES
ggbetweenstats function can now show notched box plots. Two new arguments notch and notchwidth control its behavior. The defaults are still standard box plots.outlier.label argument was of character type.gghistostats supports proportion and density as a value measure for bar heights to show proportions and density. New argument bar.measure controls this behavior.grouped_ variants of functions ggcorrmat, ggscatterstats, ggbetweenstats, and ggpiestats introduced to create multiple plots for different levels of a grouping variable.MAJOR CHANGES - To be internally consistent, all functions in ggstatsplot use the spelling color, rather than colour in some functions, while color in others. - Removed the redundant argument binwidth.adjust from gghistostats function. This argument was relevant for the first avatar of this fucntion, but is no longer playing any role. - To be internally consistent, the argument lab_col and lab_size in ggcorrmat have been changed to lab.col and lab.size, respectively.
MINOR CHANGES
ggstatsplot.theme function to control if ggstatsplot::theme_mprl is to be overlaid on top of the selected ggtheme (ggplot2 theme, i.e.).gghistostats to allow user to change colorbar gradient. Defaults are colorblind friendly.gghistostats and ggcorrmat have a new argument legend.title.margin to control margin adjustment between the title and the colorbar.line.labeller in gghistostats function.BUG FIXES
centrality.para argument for ggscatterstats was not working properly. Choosing "median" didn’t show median, but the mean. This is fixed now.NEW FEATURES
gghistostats and two new arguments to also display a vertical line for test.value argument.gghistostats.grouped_gghistostats to facilitate applying gghistostats for multiple levels of a grouping factor.ggbetweenstats has a new argument outlier.coef to adjust threshold used to detect outliers. Removed bug from the same function when outlier.label argument is of factor/character type.MAJOR CHANGES
signif_column and grouped_proptest are now deprecated. They were exported in the first release by mistake.gghistostats no longer displays both density and count since the density information was redundant. The density.plot argument has also been deprecated.ggscatterstats argument intercept has now been changed to centrality.para. This was due to possible confusion about interpreation of these lines; they show central tendency measures and not intercept for the linear model. Thus the change.effsize.type = "biased" effect size for ggbetweenstats in case of ANOVA is partial omega-squared, and not omega-squared. Additionally, both partial eta- and omega-squared are not computed using bootstrapping with (default) 100 bootstrap samples.MINOR CHANGES
README document.broom package. RVAideMemoire package is thus removed from dependencies.ggbetweenstats function are now computed using sjstats package, which allows bootstrapping. apaTables and userfriendlyscience packages are thus removed from dependencies.