sjPlot-package |
Data Visualization for Statistics in Social Science |
dist_chisq |
Plot chi-squared distributions |
dist_f |
Plot F distributions |
dist_norm |
Plot normal distributions |
dist_t |
Plot t-distributions |
efc |
Sample dataset from the EUROFAMCARE project |
font_size |
Modify plot appearance |
get_model_data |
Plot regression models |
label_angle |
Modify plot appearance |
legend_style |
Modify plot appearance |
plot_grid |
Arrange list of plots as grid |
plot_model |
Plot regression models |
plot_models |
Forest plot of multiple regression models |
set_theme |
Set global theme options for sjp-functions |
sjc.cluster |
Compute hierarchical or kmeans cluster analysis |
sjc.dend |
Compute hierarchical cluster analysis and visualize group classification |
sjc.elbow |
Compute elbow values of a k-means cluster analysis |
sjc.grpdisc |
Compute a linear discriminant analysis on classified cluster groups |
sjc.kgap |
Compute gap statistics for k-means-cluster |
sjc.qclus |
Compute quick cluster analysis |
sjp.aov1 |
Plot One-Way-Anova tables |
sjp.chi2 |
Plot Pearson's Chi2-Test of multiple contingency tables |
sjp.corr |
Plot correlation matrix |
sjp.fa |
Plot FA results |
sjp.frq |
Plot frequencies of variables |
sjp.glm |
Plot estimates, predictions or effects of generalized linear models |
sjp.glmer |
Plot estimates, predictions or effects of generalized linear mixed effects models |
sjp.glmm |
Forest plot of multiple regression models |
sjp.gpt |
Plot grouped proportional tables |
sjp.grpfrq |
Plot grouped or stacked frequencies |
sjp.int |
Plot interaction effects of (generalized) linear (mixed) models |
sjp.kfold_cv |
Plot model fit from k-fold cross-validation |
sjp.likert |
Plot likert scales as centered stacked bars |
sjp.lm |
Plot estimates, predictions or effects of linear models |
sjp.lmer |
Plot estimates, predictions or effects of linear mixed effects models |
sjp.lmm |
Forest plot of multiple regression models |
sjp.pca |
Plot PCA results |
sjp.poly |
Plot polynomials for (generalized) linear regression |
sjp.resid |
Plot predicted values and their residuals |
sjp.scatter |
Plot (grouped) scatter plots |
sjp.stackfrq |
Plot stacked proportional bars |
sjp.xtab |
Plot contingency tables |
sjPlot |
Data Visualization for Statistics in Social Science |
sjplot |
Wrapper to create plots and tables within a pipe-workflow |
sjPlot-themes |
Modify plot appearance |
sjt.corr |
Summary of correlations as HTML table |
sjt.df |
Show (description of) data frame as HTML table |
sjt.fa |
Summary of factor analysis as HTML table |
sjt.frq |
Summary of frequencies as HTML table |
sjt.glm |
Summary of generalized linear models as HTML table |
sjt.glmer |
Summary of generalized linear mixed models as HTML table |
sjt.grpmean |
Summary of grouped means as HTML table |
sjt.itemanalysis |
Summary of item analysis of an item scale as HTML table |
sjt.lm |
Summary of linear regression as HTML table |
sjt.lmer |
Summary of linear mixed effects models as HTML table |
sjt.mwu |
Summary of Mann-Whitney-Test as HTML table |
sjt.pca |
Summary of principal component analysis as HTML table |
sjt.stackfrq |
Summary of stacked frequencies as HTML table |
sjt.xtab |
Summary of contingency tables as HTML table |
sjtab |
Wrapper to create plots and tables within a pipe-workflow |
theme_538 |
Modify plot appearance |
theme_blank |
Modify plot appearance |
theme_sjplot |
Modify plot appearance |
theme_sjplot2 |
Modify plot appearance |
view_df |
View structure of labelled data frames |