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CRAN: Package sjPlot

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, 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.

Version: 2.9.0 Depends: R (≥ 4.1) Imports: graphics, grDevices, stats, utils, bayestestR (≥ 0.16.1), datawizard (≥ 1.1.0), dplyr, ggeffects, ggplot2 (≥ 3.2.0), knitr, insight (≥ 1.3.1), parameters (≥ 0.27.0), performance (≥ 0.15.0), purrr, rlang, scales, sjlabelled (≥ 1.1.2), sjmisc (≥ 2.8.2), sjstats (≥ 0.17.8), tidyr (≥ 1.0.0) Suggests: brms, car, clubSandwich, cluster, cowplot, effects, haven, GPArotation, ggrepel, glmmTMB, gridExtra, ggridges, httr, lme4, MASS, nFactors, pscl, psych, rmarkdown, rstanarm, sandwich, splines, survey, TMB, testthat Published: 2025-07-10 DOI: 10.32614/CRAN.package.sjPlot Author: Daniel Lüdecke [aut, cre], Alexander Bartel [ctb], Carsten Schwemmer [ctb], Chuck Powell [ctb], Amir Djalovski [ctb], Johannes Titz [ctb] Maintainer: Daniel Lüdecke <d.luedecke at uke.de> BugReports: https://github.com/strengejacke/sjPlot/issues License: GPL-3 URL: https://strengejacke.github.io/sjPlot/ NeedsCompilation: no Citation: sjPlot citation info Materials: README NEWS In views: MixedModels CRAN checks: sjPlot results Documentation: Reference manual: sjPlot.pdf Vignettes: Black & White Figures for Print Journals (source, R code)
Customize Plot Appearance (source, R code)
Plotting Interaction Effects of Regression Models (source, R code)
Plotting Likert Scales (source, R code)
Plotting Marginal Effects of Regression Models (source, R code)
Plotting Estimates (Fixed Effects) of Regression Models (source, R code)
Item Analysis of a Scale or an Index (source, R code)
Summary of Bayesian Models as HTML Table (source, R code)
Summary of Mixed Models as HTML Table (source, R code)
Summary of Regression Models as HTML Table (source, R code)
Robust Estimation of Standard Errors (source, R code)
Customizing HTML tables (source, R code)
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