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.
- Version2.8.16
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- sjPlot citation info
- Last release05/13/2024
Documentation
- VignetteBlack & White Figures for Print Journals
- VignetteCustomize Plot Appearance
- VignettePlotting Interaction Effects of Regression Models
- VignettePlotting Likert Scales
- VignettePlotting Marginal Effects of Regression Models
- VignettePlotting Estimates (Fixed Effects) of Regression Models
- VignetteItem Analysis of a Scale or an Index
- VignetteSummary of Bayesian Models as HTML Table
- VignetteSummary of Mixed Models as HTML Table
- VignetteSummary of Regression Models as HTML Table
- VignetteRobust Estimation of Standard Errors
- VignetteCustomizing HTML tables
- MaterialREADME
- MaterialNEWS
- In ViewsMixedModels
Team
Daniel Lüdecke
MaintainerShow author detailsChuck Powell
Show author detailsRolesContributorJohannes Titz
Show author detailsRolesContributorCarsten Schwemmer
Show author detailsRolesContributorAlexander Bartel
Amir Djalovski
Show author detailsRolesContributor
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Dependencies
- Imports14 packages
- Suggests23 packages
- Reverse Imports3 packages
- Reverse Suggests4 packages