sjPlot: Data Visualization for Statistics in Social Science

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. This package supports labelled data.

Author
Daniel Lüdecke <d.luedecke@uke.de>
Date of publication
2016-11-12 21:41:39
Maintainer
Daniel Lüdecke <d.luedecke@uke.de>
License
GPL-3
Version
2.1.2
URLs

View on CRAN

Man pages

dist_chisq
Plot chi-squared distributions
dist_f
Plot F distributions
dist_norm
Plot normal distributions
dist_t
Plot t-distributions
plot_grid
Arrange list of plots as grid
save_plot
Save ggplot-figure for print publication
set_theme
Set default theme for sjp-functions
sjc.cluster
Compute hierarchical or kmeans cluster analysis
sjc.dend
Compute hierarchical cluster analysis and visualize group...
sjc.elbow
Compute elbow values of a k-means cluster analysis
sjc.grpdisc
Compute a linear discriminant analysis on classified cluster...
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.frq
Plot frequencies of variables
sjp.glm
Plot estimates, predictions or effects of generalized linear...
sjp.glmer
Plot estimates, predictions or effects of generalized linear...
sjp.glmm
Plot estimates of multiple fitted glm(er)'s
sjp.gpt
Plot grouped proportional tables
sjp.grpfrq
Plot grouped or stacked frequencies
sjp.int
Plot interaction effects of (generalized) linear (mixed)...
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...
sjp.lmm
Plot estimates of multiple fitted lm(er)'s
sjplot
Wrapper to create plots and tables within a pipe-workflow
sjPlot-package
Data Visualization for Statistics in Social Science
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.setTheme
Set global theme options for sjp-functions
sjp.stackfrq
Plot stacked proportional bars
sjp.xtab
Plot contingency tables
sjt.corr
Summary of correlations as HTML table
sjt.df
Show (description of) data frame 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
view_df
View structure of labelled data frames

Files in this package

sjPlot
sjPlot/inst
sjPlot/inst/CITATION
sjPlot/NAMESPACE
sjPlot/NEWS
sjPlot/NEWS.md
sjPlot/R
sjPlot/R/sjPlotScatter.R
sjPlot/R/sjPlotClusterAnalysis.R
sjPlot/R/sjPlotResiduals.R
sjPlot/R/sjPlotPCA.R
sjPlot/R/sjPlotDist.R
sjPlot/R/set_theme.R
sjPlot/R/plot_grid.R
sjPlot/R/sjPlotAncovaLSMeans.R
sjPlot/R/sjPlotFrequencies.R
sjPlot/R/sjPlotPearsonsChi2Test.R
sjPlot/R/sjPlotPolynomials.R
sjPlot/R/sjTabStackFrq.R
sjPlot/R/sjTabItemAnalysis.R
sjPlot/R/sjPlotPropTable.R
sjPlot/R/sjTabLinReg.R
sjPlot/R/sjPlotLinreg.R
sjPlot/R/sjPlotSetTheme.R
sjPlot/R/sjTabFrequencies.R
sjPlot/R/sjTabPCA.R
sjPlot/R/sjPlotAnova.R
sjPlot/R/sjPlotOddsMultiple.R
sjPlot/R/table_functions.R
sjPlot/R/sjplot.R
sjPlot/R/helpfunctions.R
sjPlot/R/sjTabGrpmean.R
sjPlot/R/sjTabPropTable.R
sjPlot/R/sjTabMannWhitney.R
sjPlot/R/sjPlotGLME.R
sjPlot/R/sjPlotStackFrequencies.R
sjPlot/R/sjPlotOdds.R
sjPlot/R/sjTabCorr.R
sjPlot/R/sjPlotGroupFrequencies.R
sjPlot/R/sjPlotCorr.R
sjPlot/R/sjTabDataFrame.R
sjPlot/R/sjTabSPSS.R
sjPlot/R/zzz.R
sjPlot/R/sjTabOdds.R
sjPlot/R/sjPlotLikert.R
sjPlot/R/sjPlotLinregMultiple.R
sjPlot/R/sjPlotGroupPropTable.R
sjPlot/R/sjPlotInteractions.R
sjPlot/README.md
sjPlot/MD5
sjPlot/build
sjPlot/build/partial.rdb
sjPlot/DESCRIPTION
sjPlot/man
sjPlot/man/sjc.grpdisc.Rd
sjPlot/man/sjt.itemanalysis.Rd
sjPlot/man/sjc.elbow.Rd
sjPlot/man/sjt.lmer.Rd
sjPlot/man/sjp.likert.Rd
sjPlot/man/sjt.pca.Rd
sjPlot/man/sjp.glmm.Rd
sjPlot/man/sjp.glm.Rd
sjPlot/man/sjt.df.Rd
sjPlot/man/sjp.corr.Rd
sjPlot/man/sjt.glm.Rd
sjPlot/man/sjc.qclus.Rd
sjPlot/man/sjt.grpmean.Rd
sjPlot/man/sjt.glmer.Rd
sjPlot/man/sjt.stackfrq.Rd
sjPlot/man/sjp.lmer.Rd
sjPlot/man/sjp.resid.Rd
sjPlot/man/sjt.lm.Rd
sjPlot/man/sjp.int.Rd
sjPlot/man/sjp.lm.Rd
sjPlot/man/sjp.gpt.Rd
sjPlot/man/save_plot.Rd
sjPlot/man/sjp.xtab.Rd
sjPlot/man/sjc.cluster.Rd
sjPlot/man/sjt.corr.Rd
sjPlot/man/sjp.pca.Rd
sjPlot/man/sjp.poly.Rd
sjPlot/man/sjp.grpfrq.Rd
sjPlot/man/dist_f.Rd
sjPlot/man/sjPlot-package.Rd
sjPlot/man/sjc.kgap.Rd
sjPlot/man/sjplot.Rd
sjPlot/man/dist_t.Rd
sjPlot/man/set_theme.Rd
sjPlot/man/sjt.mwu.Rd
sjPlot/man/plot_grid.Rd
sjPlot/man/sjt.frq.Rd
sjPlot/man/sjp.stackfrq.Rd
sjPlot/man/dist_norm.Rd
sjPlot/man/sjp.chi2.Rd
sjPlot/man/dist_chisq.Rd
sjPlot/man/sjt.xtab.Rd
sjPlot/man/sjc.dend.Rd
sjPlot/man/sjp.frq.Rd
sjPlot/man/view_df.Rd
sjPlot/man/sjp.scatter.Rd
sjPlot/man/sjp.aov1.Rd
sjPlot/man/sjp.glmer.Rd
sjPlot/man/sjp.lmm.Rd
sjPlot/man/sjp.setTheme.Rd