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.

Version: 2.3.0
Depends: R (≥ 3.3), graphics, grDevices, methods, stats, utils
Imports: broom (≥ 0.4.1), dplyr (≥ 0.5.0), effects, ggplot2 (≥ 2.2.1), lme4 (≥ 1.1-12), MASS, merTools (≥ 0.3.0), modelr, nlme, psych, purrr, scales, sjmisc (≥ 2.2.1), sjstats (≥ 0.8.0), tibble (≥ 1.2.0), tidyr (≥ 0.6.0)
Suggests: AICcmodavg, arm, car, cluster, gridExtra, ggrepel, lmerTest, lmtest, lsmeans, knitr
Published: 2017-02-06
Author: Daniel Lüdecke
Maintainer: Daniel Lüdecke <d.luedecke at>
License: GPL-3
NeedsCompilation: no
Citation: sjPlot citation info
Materials: README NEWS
CRAN checks: sjPlot results


Reference manual: sjPlot.pdf
Vignettes: Black & White Figures for Print Journals
Customize Plot Appearance
Plot-Types for Generalized Linear Models
Plotting Random Effects of Mixed Models
Basics of the sjt Table Functions
Item Analysis of a Scale or an Index
Summary of Linear Regression Models as HTML Table
Summary of Linear Mixed Regression Models as HTML Table
Package source: sjPlot_2.3.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Mavericks binaries: r-release: sjPlot_2.3.0.tgz, r-oldrel: sjPlot_2.1.2.tgz
Old sources: sjPlot archive

Reverse dependencies:

Reverse suggests: sjmisc


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