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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: | 2.8.16 |
Depends: | R (≥ 3.6) |
Imports: | graphics, grDevices, stats, utils, bayestestR, datawizard, dplyr, ggeffects, ggplot2 (≥ 3.2.0), knitr, insight, MASS, parameters, performance, 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, nFactors, pscl, psych, rmarkdown, rstanarm, sandwich, splines, survey, TMB, testthat |
Published: | 2024-05-13 |
DOI: | 10.32614/CRAN.package.sjPlot |
Author: | Daniel Lüdecke |
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 |
Package source: | sjPlot_2.8.16.tar.gz |
Windows binaries: | r-devel: sjPlot_2.8.16.zip, r-release: sjPlot_2.8.16.zip, r-oldrel: sjPlot_2.8.16.zip |
macOS binaries: | r-release (arm64): sjPlot_2.8.16.tgz, r-oldrel (arm64): sjPlot_2.8.16.tgz, r-release (x86_64): sjPlot_2.8.16.tgz, r-oldrel (x86_64): sjPlot_2.8.16.tgz |
Old sources: | sjPlot archive |
Reverse imports: | hypsoLoop, opinAr, regtomean |
Reverse suggests: | pubh, rties, sjlabelled, sjmisc, sjtable2df |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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