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sjPlot (version 1.9.4)

Data Visualization for Statistics in Social Science

Description

Collection of plotting and table output functions for data visualization. Results of various statistical analyses (that are commonly used in social sciences) can be visualized using this package, including simple and cross tabulated frequencies, histograms, box plots, (generalized) linear models, mixed effects models, PCA and correlation matrices, cluster analyses, scatter plots, Likert scales, effects plots of regression models (including interaction terms) and much more.

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Install

install.packages('sjPlot')

Monthly Downloads

24,640

Version

1.9.4

License

GPL-3

Issues

232

Pull Requests

3

Stars

636

Forks

96

Maintainer

Daniel Lüdecke

Last Published

April 19th, 2016

Functions in sjPlot (1.9.4)

dist_norm

Plot normal distributions
dist_chisq

Plot chi-squared distributions
sjc.dend

Compute hierarchical cluster analysis and visualize group classification
sjc.kgap

Compute gap statistics for k-means-cluster
adjust_plot_range

Adjust y range of ggplot-objects
sjp.chi2

Plot Pearson's Chi2-Test of multiple contingency tables
sjc.cluster

Compute hierarchical or kmeans cluster analysis
sjPlot-package

Data Visualization for Statistics in Social Science
dist_t

Plot t-distributions
sjc.grpdisc

Compute a linear discriminant analysis on classified cluster groups
sjp.gpt

Plot grouped proportional tables
sjc.elbow

Compute elbow values of a k-means cluster analysis
save_plot

Save ggplot-figure for print publication
sjp.glmm

Plot odds or incidents ratios (forest plots) of multiple fitted glm(er)'s
sjp.poly

Plot polynomials for (generalized) linear regression
sjp.stackfrq

Plot stacked proportional bars
sjt.mwu

Summary of Mann-Whitney-Test as HTML table
sjp.aov1

Plot One-Way-Anova tables
sjp.glm

Forest plot or predicted probabilities of generalized linear models
sjt.corr

Summary of correlations as HTML table
sjp.corr

Plot correlation matrix
view_df

View structure of labelled data frames
sjt.pca

Summary of principal component analysis as HTML table
sjt.grpmean

Summary of grouped means as HTML table
sjp.scatter

Plot (grouped) scatter plots
sjp.pca

Plot PCA results
sjt.itemanalysis

Summary of item analysis of an item scale as HTML table
sjp.lmer

Plot estimates or predicted values of linear mixed effects models
sjp.xtab

Plot contingency tables
sjp.int

Plot interaction effects of (generalized) linear (mixed) models
sjt.stackfrq

Summary of stacked frequencies as HTML table
sjt.df

Show (description of) data frame as HTML table
sjt.glmer

Summary of generalized linear mixed models as HTML table
dist_f

Plot F distributions
sjt.xtab

Summary of contingency tables as HTML table
sjp.glmer

Plot estimates or effects of generalized linear mixed effects models
sjt.glm

Summary of generalized linear models as HTML table
sjt.lm

Summary of linear regression as HTML table
sjp.lmm

Plot coefficients of multiple fitted lm(er)'s
sjp.likert

Plot likert scales as centered stacked bars
sjp.frq

Plot frequencies of variables
sjp.lm

Plot estimates or predicted values of linear models
sjp.setTheme

Set global theme options for sjp-functions
sjt.frq

Summary of frequencies as HTML table
sjc.qclus

Compute quick cluster analysis
sjp.grpfrq

Plot grouped or stacked frequencies
sjt.lmer

Summary of linear mixed effects models as HTML table