Function reference • see

Plotting Functions
`data_plot()`	Prepare objects for plotting or plot objects
`plot(<see_bayesfactor_models>)`	Plot method for Bayes Factors for model comparison
`plot(<see_bayesfactor_parameters>)`	Plot method for Bayes Factors for a single parameter
`plot(<see_equivalence_test_effectsize>)` `plot(<see_equivalence_test>)` `plot(<see_equivalence_test_lm>)`	Plot method for (conditional) equivalence testing
`plot(<see_estimate_density>)`	Plot method for density estimation of posterior samples
`plot(<see_hdi>)`	Plot method for uncertainty or credible intervals
`plot(<see_p_direction>)`	Plot method for probability of direction
`plot(<see_p_significance>)`	Plot method for practical significance
`plot(<see_si>)`	Plot method for support intervals
`plot(<see_easycormatrix>)`	Plot method for correlation matrices
`plot(<see_easycorrelation>)`	Plot method for Gaussian Graphical Models
`plot(<see_effectsize_table>)`	Plot method for effect size tables
`plot(<see_estimate_contrasts>)`	Plot method for estimating contrasts
`plot(<see_cluster_analysis>)`	Plot method for computing cluster analysis
`plot(<see_parameters_distribution>)`	Plot method for describing distributions of vectors
`plot(<see_compare_parameters>)`	Plot method for comparison of model parameters
`plot(<see_parameters_model>)` `plot(<see_parameters_sem>)`	Plot method for model parameters
`plot(<see_parameters_pca>)`	Plot method for principal component analysis
`plot(<see_parameters_brms_meta>)`	Plot method for Model Parameters from Bayesian Meta-Analysis
`plot(<see_n_factors>)`	Plot method for numbers of clusters to extract or factors to retain
`plot(<see_parameters_simulate>)`	Plot method for simulated model parameters
`plot(<see_check_collinearity>)`	Plot method for multicollinearity checks
`plot(<see_check_heteroscedasticity>)`	Plot method for (non-)constant error variance checks
`plot(<see_check_homogeneity>)`	Plot method for homogeneity of variances checks
`plot(<see_check_normality>)`	Plot method for check model for (non-)normality of residuals
`plot(<see_check_outliers>)`	Plot method for checking outliers
`plot(<see_compare_performance>)`	Plot method for comparing model performances
`plot(<see_performance_roc>)`	Plot method for ROC curves
`print(<see_performance_pp_check>)` `plot(<see_performance_pp_check>)`	Plot method for posterior predictive checks
`plot(<see_check_distribution>)`	Plot method for classifying the distribution of a model-family
`plot(<see_point_estimate>)`	Plot method for point estimates of posterior samples
`plot(<see_rope>)`	Plot method for Region of Practical Equivalence
`plots()`	Multiple plots side by side
Geoms
`geom_point2()` `geom_jitter2()` `geom_pointrange2()` `geom_count2()` `geom_count_borderless()` `geom_point_borderless()` `geom_jitter_borderless()` `geom_pointrange_borderless()`	Better looking points
`geom_poolpoint()` `geom_pooljitter()`	Pool ball points
`geom_violindot()`	Half-violin Half-dot plot
`geom_violinhalf()`	Half-violin plot
`geom_from_list()` `geoms_from_list()`	Create ggplot2 geom(s) from a list
Scales
`scale_color_bluebrown()` `scale_color_bluebrown_d()` `scale_color_bluebrown_c()` `scale_colour_bluebrown()` `scale_colour_bluebrown_c()` `scale_colour_bluebrown_d()` `scale_fill_bluebrown()` `scale_fill_bluebrown_d()` `scale_fill_bluebrown_c()`	Blue-brown color palette
`scale_color_flat()` `scale_color_flat_d()` `scale_color_flat_c()` `scale_colour_flat()` `scale_colour_flat_c()` `scale_colour_flat_d()` `scale_fill_flat()` `scale_fill_flat_d()` `scale_fill_flat_c()`	Flat UI color palette
`scale_color_material()` `scale_color_material_d()` `scale_color_material_c()` `scale_colour_material()` `scale_colour_material_c()` `scale_colour_material_d()` `scale_fill_material()` `scale_fill_material_d()` `scale_fill_material_c()`	Material design color palette
`scale_color_metro()` `scale_color_metro_d()` `scale_color_metro_c()` `scale_colour_metro()` `scale_colour_metro_c()` `scale_colour_metro_d()` `scale_fill_metro()` `scale_fill_metro_d()` `scale_fill_metro_c()`	Metro color palette
`scale_color_pizza()` `scale_color_pizza_d()` `scale_color_pizza_c()` `scale_colour_pizza()` `scale_colour_pizza_c()` `scale_colour_pizza_d()` `scale_fill_pizza()` `scale_fill_pizza_d()` `scale_fill_pizza_c()`	Pizza color palette
`scale_color_see()` `scale_color_see_d()` `scale_color_see_c()` `scale_colour_see()` `scale_colour_see_c()` `scale_colour_see_d()` `scale_fill_see()` `scale_fill_see_d()` `scale_fill_see_c()`	See color palette
`scale_color_social()` `scale_color_social_d()` `scale_color_social_c()` `scale_colour_social()` `scale_colour_social_c()` `scale_colour_social_d()` `scale_fill_social()` `scale_fill_social_d()` `scale_fill_social_c()`	Social color palette
Themes
`theme_abyss()`	Abyss theme
`theme_blackboard()`	Blackboard dark theme
`theme_lucid()`	Lucid theme
`theme_modern()`	The easystats' minimal theme
`theme_radar()` `theme_radar_dark()`	Themes for radar plots
Color Palettes
`bluebrown_colors()`	Extract blue-brown colors as hex codes
`flat_colors()`	Extract Flat UI colors as hex codes
`material_colors()`	Extract material design colors as hex codes
`metro_colors()`	Extract Metro colors as hex codes
`pizza_colors()`	Extract pizza colors as hex codes
`see_colors()`	Extract See colors as hex codes
`social_colors()`	Extract Social colors as hex codes
`palette_bluebrown()`	Blue-brown design color palette
`palette_flat()`	Flat UI color palette
`palette_material()`	Material design color palette
`palette_metro()`	Metro color palette
`palette_pizza()`	Pizza color palette
`palette_see()`	See design color palette
`palette_social()`	Social color palette
Miscellaneous
`add_plot_attributes()`	Complete figure with its attributes
`coord_radar()`	Radar coordinate system
`golden_ratio()`	Golden Ratio

Reference

Plotting Functions

Geoms

Scales

Themes

Color Palettes

Miscellaneous