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.

Version: 1.9.1
Depends: R (≥ 3.1), graphics, grDevices, methods, stats, utils
Imports: car, dplyr (≥ 0.4.3), effects, ggplot2 (≥ 2.0.0), lme4, MASS, magrittr, nlme, psych, scales, sjmisc (≥ 1.4), tidyr (≥ 0.4.0)
Suggests: AICcmodavg, arm, cluster, ggrepel, lmerTest, lmtest, lsmeans, testthat
Published: 2016-02-08
Author: Daniel Lüdecke
Maintainer: Daniel Lüdecke <d.luedecke at uke.de>
BugReports: https://github.com/sjPlot/devel/issues
License: GPL-3
URL: https://github.com/sjPlot/devel
NeedsCompilation: no
Citation: sjPlot citation info
Materials: README NEWS
CRAN checks: sjPlot results

Downloads:

Reference manual: sjPlot.pdf
Package source: sjPlot_1.9.1.tar.gz
Windows binaries: r-devel: sjPlot_1.9.1.zip, r-release: sjPlot_1.9.1.zip, r-oldrel: sjPlot_1.9.1.zip
OS X Snow Leopard binaries: r-release: sjPlot_1.9.1.tgz, r-oldrel: sjPlot_1.8.tgz
OS X Mavericks binaries: r-release: sjPlot_1.9.1.tgz
Old sources: sjPlot archive