Package index • sjPlot

Package Description

sjPlot-package sjPlot: Data Visualization for Statistics in Social Science

Plotting Regression Models

plot_model() get_model_data(): Plot regression models

plot_models(): Forest plot of multiple regression models

Regression Model Tables

tab_model(): Print regression models as HTML table

Plotting Regression Model Diagnostics

plot_model() get_model_data(): Plot regression models

plot_residuals(): Plot predicted values and their residuals

sjp.poly(): Plot polynomials for (generalized) linear regression

Plotting Descriptive Statistics

plot_frq(): Plot frequencies of variables

plot_gpt(): Plot grouped proportional tables

plot_likert(): Plot likert scales as centered stacked bars

plot_scatter(): Plot (grouped) scatter plots

plot_stackfrq(): Plot stacked proportional bars

plot_grpfrq(): Plot grouped or stacked frequencies

plot_xtab(): Plot contingency tables

sjp.chi2(): Plot Pearson's Chi2-Test of multiple contingency tables

sjplot() sjtab(): Wrapper to create plots and tables within a pipe-workflow

Descriptive Statistics Tables

tab_stackfrq(): Summary of stacked frequencies as HTML table

tab_xtab() sjt.xtab(): Summary of contingency tables as HTML table

tab_corr(): Summary of correlations as HTML table

Generate Tables from Data Frames, Codebooks

tab_df() tab_dfs(): Print data frames as HTML table.

view_df(): View structure of labelled data frames

Variable/Feature Reduction

tab_fa(): Summary of factor analysis as HTML table

tab_pca(): Summary of principal component analysis as HTML table

tab_itemscale() sjt.itemanalysis(): Summary of item analysis of an item scale as HTML table

Plot Customization

set_theme(): Set global theme options for sjp-functions

theme_sjplot() theme_sjplot2() theme_blank() theme_538() font_size() label_angle() legend_style() scale_color_sjplot() scale_fill_sjplot() sjplot_pal() show_sjplot_pals() css_theme(): Modify plot appearance

Plot Distributions

dist_chisq(): Plot chi-squared distributions

dist_f(): Plot F distributions

dist_norm(): Plot normal distributions

dist_t(): Plot t-distributions

Utility Functions

plot_grid(): Arrange list of plots as grid

save_plot(): Save ggplot-figure for print publication

Example Data

efc: Sample dataset from the EUROFAMCARE project

save_plot(): Save ggplot-figure for print publication