cran. See also theR-universe documentation.Package: sjPlot 2.8.17
Daniel Lüdecke
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.
Authors:
sjPlot_2.8.17.tar.gz
sjPlot_2.8.17.tar.gz(r-4.5-noble)sjPlot_2.8.17.tar.gz(r-4.4-noble)
sjPlot_2.8.17.tgz(r-4.4-emscripten)sjPlot_2.8.17.tgz(r-4.3-emscripten)
sjPlot.pdf |sjPlot.html✨
sjPlot/json (API)
NEWS
| # Install 'sjPlot' in R: |
| install.packages('sjPlot', repos = 'https://cloud.r-project.org') |
Bug tracker:https://github.com/strengejacke/sjplot/issues228 issues
Pkgdown site:https://strengejacke.github.io
- efc - Sample dataset from the EUROFAMCARE project
Conda:r-sjplot-2.8.17(2025-03-25)
Last updated 4 months agofrom:28d13c5fa0. Checks:3 OK. Indexed: no.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 29 2025 |
| R-4.5-linux | OK | Mar 29 2025 |
| R-4.4-linux | OK | Mar 29 2025 |
Exports:css_themedist_chisqdist_fdist_normdist_tfont_sizeget_model_datalabel_anglelegend_styleplot_frqplot_gptplot_gridplot_grpfrqplot_kfold_cvplot_likertplot_modelplot_modelsplot_residualsplot_scatterplot_stackfrqplot_xtabsave_plotscale_color_sjplotscale_fill_sjplotset_themeshow_sjplot_palssjp.aov1sjp.chi2sjp.corrsjp.polysjplotsjplot_palsjt.itemanalysissjt.xtabsjtabtab_corrtab_dftab_dfstab_fatab_itemscaletab_modeltab_pcatab_stackfrqtab_xtabtheme_538theme_blanktheme_sjplottheme_sjplot2view_df
Dependencies:bayestestRclicolorspacecpp11datawizarddplyreffectsizeevaluatefansifarvergenericsggeffectsggplot2gluegtablehighrinsightisobandknitrlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmeparametersperformancepillarpkgconfigpurrrR6RColorBrewerrlangscalessjlabelledsjmiscsjstatsstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithrxfunyaml
Black & White Figures for Print Journals
Rendered fromblackwhitefigures.Rmdusingknitr::rmarkdownon Mar 29 2025.Last update: 2021-11-26
Started: 2017-02-06
Customize Plot Appearance
Rendered fromcustplot.Rmdusingknitr::rmarkdownon Mar 29 2025.Last update: 2021-11-26
Started: 2017-02-06
Customizing HTML tables
Rendered fromtable_css.Rmdusingknitr::rmarkdownon Mar 29 2025.Last update: 2020-05-24
Started: 2018-07-12
Item Analysis of a Scale or an Index
Rendered fromsjtitemanalysis.Rmdusingknitr::rmarkdownon Mar 29 2025.Last update: 2020-05-24
Started: 2017-02-06
Plotting Estimates (Fixed Effects) of Regression Models
Rendered fromplot_model_estimates.Rmdusingknitr::rmarkdownon Mar 29 2025.Last update: 2023-03-13
Started: 2017-10-19
Plotting Interaction Effects of Regression Models
Rendered fromplot_interactions.Rmdusingknitr::rmarkdownon Mar 29 2025.Last update: 2023-03-13
Started: 2018-02-05
Plotting Likert Scales
Rendered fromplot_likert_scales.Rmdusingknitr::rmarkdownon Mar 29 2025.Last update: 2023-03-13
Started: 2019-08-02
Plotting Marginal Effects of Regression Models
Rendered fromplot_marginal_effects.Rmdusingknitr::rmarkdownon Mar 29 2025.Last update: 2023-08-17
Started: 2018-02-05
Robust Estimation of Standard Errors, Confidence Intervals and p-values
Rendered fromtab_model_robust.Rmdusingknitr::rmarkdownon Mar 29 2025.Last update: 2022-08-07
Started: 2020-05-24
Summary of Bayesian Models as HTML Table
Rendered fromtab_bayes.Rmdusingknitr::rmarkdownon Mar 29 2025.Last update: 2023-04-02
Started: 2018-07-12
Summary of Mixed Models as HTML Table
Rendered fromtab_mixed.Rmdusingknitr::rmarkdownon Mar 29 2025.Last update: 2020-01-23
Started: 2018-07-12
Summary of Regression Models as HTML Table
Rendered fromtab_model_estimates.Rmdusingknitr::rmarkdownon Mar 29 2025.Last update: 2021-07-10
Started: 2018-07-12
Citation
Lüdecke D (2024). sjPlot: Data Visualization for Statistics in Social Science. R package version 2.8.17, https://CRAN.R-project.org/package=sjPlot.
Corresponding BibTeX entry:
@Manual{,
title = {sjPlot: Data Visualization for Statistics in Social
Science},
author = {Daniel Lüdecke},
year = {2024},
note = {R package version 2.8.17},
url = {https://CRAN.R-project.org/package=sjPlot},
}
Readme and manuals
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 interaction terms in regression models, constructing index or score variables and much more.
Installation
Latest development build
To install the latest development snapshot (see latest changes below), type the following commands into the R console:
library(devtools)
devtools::install_github("strengejacke/sjPlot")
Official, stable release
To install the latest stable release from CRAN, type the following command into the R console:
install.packages("sjPlot")
Documentation and examples
Please visit https://strengejacke.github.io/sjPlot/ for documentation and vignettes.
Citation
In case you want / have to cite my package, please use citation('sjPlot') for citation information. Since core functionality of package depends on the ggplot-package, consider citing this package as well.
