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sjPlot R Package Documentation

repository·master·Indexed 20 days ago

https://github.com/strengejacke/sjplot

An R package providing plotting and table output functions for visualizing statistical analyses in the social sciences. Capabilities include visualizing (generalized) linear models, mixed effects models, PCA, correlation matrices, cluster analyses, Likert scales, and interaction effects plots.

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What's inside sjPlot

  1. Overview of sjPlot capabilities

    master

    sjPlot is a collection of plotting and table output functions designed for data visualization in social science statistics. It can visualize results from various statistical analyses, including:

    • Simple and cross-tabulated frequencies
    • Histograms and box plots
    • (Generalized) linear models and mixed effects models
    • PCA and correlation matrices
    • Cluster analyses
    • Scatter plots
    • Likert scales
    • Effects plots of interaction terms in regression models
    • Construction of index or score variables

  4. Install the latest development build of sjPlot

    master

    If you need the most recent development snapshot from GitHub, use the devtools package to install directly from the strengejacke/sjPlot repository.

    library(devtools)
devtools::install_github("strengejacke/sjPlot")

  5. Cite sjPlot in research

    master
    To obtain the correct citation information for your research, run citation('sjPlot') in your R console. Note that because the core functionality depends on the ggplot2 package, it is recommended to cite ggplot2 as well.
    citation('sjPlot')