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.
To install the latest development snapshot (see latest changes below), type following commands into the R console:
library(devtools)
devtools::install_github("strengejacke/sjPlot")
To install the latest stable release from CRAN, type following command into the R console:
install.packages("sjPlot")
Please visit https://strengejacke.github.io/sjPlot/ for documentation and vignettes.
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.
sjPlot - Data Visualization for Statistics in Social Science
statistics data-visualization r social-sciences plotting
sjPlot 2.6.2Lateston 19 Dec 2018
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