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, principal component analysis and correlation matrices, cluster analyses, scatter plots, stacked scales, effects plots of regression models (including interaction terms) and much more. This package supports labelled data.

Maintainer: Daniel Lüdecke <d.luedecke at uke.de>

Author(s): Daniel Lüdecke*, Carsten Schwemmer*

Install package and any missing dependencies by running this line in your R console:

install.packages("sjPlot")

Depends R (>= 3.2), graphics, grDevices, methods, stats, utils
Imports broom(>=0.4.2), dplyr(>=0.7.1), effects, forcats, ggeffects(>=0.2.1), ggplot2(>=2.2.1), knitr, lme4(>=1.1-12), MASS, merTools(>=0.3.0), modelr, nlme, psych, purrr, rlang, scales, sjlabelled(>=1.0.1), sjmisc(>=2.6.1), sjstats(>=0.11.0), tibble(>=1.3.3), tidyr(>=0.7.0)
Suggests AICcmodavg, arm, car, cluster, GPArotation, gridExtra, ggrepel, lmerTest, lmtest
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Package sjPlot
Materials
URL https://github.com/strengejacke/sjPlot
Task Views
Version 2.3.3
Published 2017-08-23
License GPL-3
BugReports https://github.com/strengejacke/sjPlot/issues
SystemRequirements
NeedsCompilation no
Citation
CRAN checks sjPlot check results
Package source sjPlot_2.3.3.tar.gz