afex_aov models.show_intercept is no longer ignored in plot() for rope().Added plot-function for parameters::compare_parameters().
Added option to detrend QQ/PP plots.
Plot for SEM models now has arrows pointing from the latent variables towards the manifest variables.
The plot() method for check_model() was revised and should now be more consistent regarding titles and subtitles, as well as color schemes and plot order. Furthermore, the plot for influential observation was changed in order to better catch the potential influential observations.
The check_heteroscedasticity() plot contains a dashed horizontal line, which makes it to assess the homoscedasticity assumption.
The y-axis label for check_collinearity() plot clarifies that the measure being plotted is VIF. This was unclear when this plot was embedded in a grid of plots from check_model() containing multiple checks.
Plotting methods for performance_roc() and performance_accuracy() show correct labels now.
Fixed issue with wrong labelling of CI-levels for plot.see_hdi().
Fixed minor issues due to breaking changes in other easystats-packages.
plot() for performance::check_normality() gains a alpha-argument, to change the alpha-level of confidence bands.
The ... argument for geom_violindot() is now also passed to to geom_violinhalf(), allowing, e.g., to change the alpha value of the violin-geoms as well.
Reorganized order of arguments in geom_violindot(), so aesthetics arguments like fill are not absorbed by partial matching for arguments like fill_dots.
plot() for performance::check_normality() shows more accurate QQ-plots.
plot() for performance::check_normality() show correct confidence bands for QQ- and PP-plots (with qqplotr). Previous bands were extremely narrow!
plot() for parameters::model_parameters() now supports models from package metaBMA
plot() for parameters::model_parameters() gains a weight_points argument, to adjust the point-size depending on study-weights for meta-analysis models.
plot() for parameters::model_parameters() now labels the x-axis depending on model-type (i.e. “Odds Ratio” instead of “Exp(Estimate)”) when this information is available.
plot() for parameters::model_parameters() for brmsfit models.text_size and size_text, or just size even if only in the context of text labels. We now tried to harmonize these kind of arguments to gain more consistency throughout the different plot() methods.Added plot-function for parameters::model_parameters() for brms-meta-analysis models.
Added plot-function for performance::pp_check().
plot() for parameters::model_parameters() gains a size_text-argument, to add text values for estimates and confidence intervals to the plot (see also vignette).
plot() for parameters::model_parameters() from meta-analysis models (e.g. from metafor) gains a type argument, to create funnel plots with type = "funnel".
plot() for bayestestR::estimate_density() and parameters::simulate_parameters() were revised, and now also include the point-estimate and error bar. Therefore, arguments centrality and ci were added.
Fixed bug in plot.model_parameters() when standardize was "basic", "smart" or "posthoc".
Fixed wrong axis labelling for ROC-curves (from performance::performance_roc()).
plot() for correlation::correlation() gains a type and size argument, to plot correlation matrices either as tiles or circles.Added new color-palettes.
Palettes for existing color scales have been revamped.
Added "light" palettes for dark themes.
Plot-function for parameters::describe_distribution() gains highlight, highlight_color and size arguments.
Plot-function for parameters::describe_distribution() now uses thin bars for variables with integer values (instead of less precise histogram).
Plot-function for performance::check_normality() gains size and point_size arguments.
Plot-function for performance::check_normality() now also plots normality of random effects, when check_normality(effects = "random") was called.
Legend labels nopw show a percentage-sign where applicable (for instance, for plot.hdi()).
Fixed issue with argument n_column in plot.p_significant(), plot.hdi(), and plot.p_direction(), which stopped working since R 4.0.0.
Fixed issue in plot.performance_roc() with swapped x/y axes.
golden_ratio() was added as a helper to get nice proportions.Added plot-function for correlation::summary().
Added plot-function for parameters::describe_distribution().
Added plot-function for effectsize::equivalence_test().
Added plot-function for various effectsize-functions, like effectsize::eta_squared().
plot.estimate_density() now also works for density estimation of data frames.
plot.equivalence_test() now also works for frequentist models and data frames (see parameters::equivalence_test()).
Slightly changed plotting-style for plot.equivalence_test().
correlation::correlation().plot() for model_parameters.rma() now arranges facets by subgroups (see vignettes).
minor improvements to plot() for parameters::cluster_analysis().
minor improvements to plot() for parameters::model_parameters.brmsfit().
Plot-function for bayestestR::si() gets a support_only argument, to plot only the support data or the “raw” prior and posterior distributions.
ncol and nrow in plots() were renamed into n_columns and n_rows to be consistent with arguments from other functions in the see-package.Added plot-function for performance::compare_performance().
Added plot-function for bayestestR::si().
plot()-functions for the bayestestR-package now also support BFBayesFactor and MCMCglmm objects.
plot() for parameters::model_parameters() now uses fixed axis for facets when model is an ordinal or cumulative link model (because all facets are on the same scale, and thus parameters are easier to compare).
Fixed issue with group coloring for parameters::model_parameters() when exponentiate = TRUE.
Fixes issue with plot.point_estimate() for vectors.
how_to_plot() was removed for the time being, due to its inadequate maintenance effort. It might be re-implemented sometime in the future…Improved layout (vertical alignment) for some plotting-functions for the bayestestR-package, when there was only one parameter. Plots now are closer to the x-axis, removing unnecessary empty space.
Labels and plot annotations are now more “human readable”, and labelling is more context sensitive.
Added coord_radar for radar charts.
Added plot-function for parameters::cluster_analysis().
Added plot-function for parameters::principal_components().
Added plot-function for parameters::parameters_simulate().
Added plot-function for parameters::n_factors().
Added plot-function for bayestestR::p_significance().
plot() for parameters::model_parameters() gets a sort-argument to sort coefficients.
plot() for parameters::model_parameters() now also create forest plots for meta-analysis.
plot() for bayestestR::bayesfactor_parameters() only plots facets when necessary.
plot() for performance::check_outliers() now also plot multiple methods in one plot.
Following plot() methods get a n_columns-argument, so model components like random effects or a zero-inflation component can be plotted in a multi-column layout: bayestestR::p_direction(), bayestestR::hdi(), bayestestR::rope(), bayestestR::equivalence_test(), parameters::model_parameter(), parameters::parameters_simulate()
Following plot() methods get priors and priors_alpha arguments, to add a layer with prior samples to the plot: bayestestR::p_direction(), bayestestR::estimate_density(), bayestestR::point_estimate()
More comprehensive examples available from the package-website.
Added new color-palettes.
Added plot-function for parameters::model_parameters().
Added plot-function for bayestestR::point_estimate().
The plot()-method for bayestestR::bayesfactor_savagedickey() gets a rope_color and a rope_alpha-argument to plot the “null”-interval, when the null-hypothesis is a region of practical equivalence, and not just the point-null.
The plot()-method for performance::binned_residuals() now also allows to modify size and colors of geoms (related arguments are in performance::binned_residuals()).
geom_point2() now accepts size-aesthetics when mapped to data.
Themes now get a base_size and base_family argument, in line with ggplot themes, to set the default size and family for plots.
plot()-methods now work for bayestestR functions that work on emmGrid-objects (created from pairwise comparison with package emmeans).
theme_lucid(), a light and clear theme.Added plot-function for performance::check_model().
Added plot-function for performance::check_normality().
Added plot-function for performance::check_heteroscedasticity().
Added plot-function for performance::check_outliers().
Added plot-function for performance::check_distribution().
Added plot-function for performance::check_collinearity().
Added plot-function for performance::check_homogeneity().
geom_poolpoint() and geom_pooljitter() to draw pool ball points (points labelled with the observation name).