Package index
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sjPlot-package
sjPlot
- Data Visualization for Statistics in Social Science
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plot_model()
get_model_data()
- Plot regression models
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plot_models()
- Forest plot of multiple regression models
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tab_model()
- Print regression models as HTML table
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plot_kfold_cv()
- Plot model fit from k-fold cross-validation
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plot_model()
get_model_data()
- Plot regression models
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plot_residuals()
- Plot predicted values and their residuals
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sjp.poly()
- Plot polynomials for (generalized) linear regression
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plot_frq()
- Plot frequencies of variables
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plot_gpt()
- Plot grouped proportional tables
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plot_likert()
- Plot likert scales as centered stacked bars
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plot_scatter()
- Plot (grouped) scatter plots
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plot_stackfrq()
- Plot stacked proportional bars
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plot_grpfrq()
- Plot grouped or stacked frequencies
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plot_xtab()
- Plot contingency tables
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sjp.chi2()
- Plot Pearson's Chi2-Test of multiple contingency tables
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sjp.aov1()
- Plot One-Way-Anova tables
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sjp.corr()
- Plot correlation matrix
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tab_stackfrq()
- Summary of stacked frequencies as HTML table
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tab_xtab()
sjt.xtab()
- Summary of contingency tables as HTML table
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tab_corr()
- Summary of correlations as HTML table
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view_df()
- View structure of labelled data frames
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tab_fa()
- Summary of factor analysis as HTML table
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tab_pca()
- Summary of principal component analysis as HTML table
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tab_itemscale()
sjt.itemanalysis()
- Summary of item analysis of an item scale as HTML table
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set_theme()
- Set global theme options for sjp-functions
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dist_chisq()
- Plot chi-squared distributions
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dist_f()
- Plot F distributions
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dist_norm()
- Plot normal distributions
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dist_t()
- Plot t-distributions
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plot_grid()
- Arrange list of plots as grid
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save_plot()
- Save ggplot-figure for print publication
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efc
- Sample dataset from the EUROFAMCARE project
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save_plot()
- Save ggplot-figure for print publication