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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.
Getting started
Package overview
README.md
Black & White Figures for Print Journals"
Customize Plot Appearance"
Customizing HTML tables"
Item Analysis of a Scale or an Index"
Plotting Estimates (Fixed Effects) of Regression Models"
Plotting Interaction Effects of Regression Models"
Plotting Likert Scales"
Plotting Marginal Effects of Regression Models"
Robust Estimation of Standard Errors, Confidence Intervals and p-values"
Summary of Bayesian Models as HTML Table"
Summary of Mixed Models as HTML Table"
Summary of Regression Models as HTML Table"
Browse package contents
Package details |
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| Author | Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>), Alexander Bartel [ctb] (<https://orcid.org/0000-0002-1280-6138>), Carsten Schwemmer [ctb], Chuck Powell [ctb] (<https://orcid.org/0000-0002-3606-2188>), Amir Djalovski [ctb], Johannes Titz [ctb] (<https://orcid.org/0000-0002-1102-5719>) |
| Maintainer | Daniel Lüdecke <d.luedecke@uke.de> |
| License | GPL-3 |
| Version | 2.8.16 |
| URL | https://strengejacke.github.io/sjPlot/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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