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, interpretation 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("sjPlot/devel")
To install the latest stable release from CRAN, type following command into the R console:
install.packages("sjPlot")
In case you want / have to cite my package, please use citation('sjPlot')
for citation information. Since this package makes heavy use of the ggplot-package, consider citing this package as well.
- Deprecated function
sjp.emm.int
was removed. Usesjp.int
with parametertype = 'emm'
to plot estimated marginal means. - Minor improvements for
sjt.lm
andsjt.glm
.
sjt.lmer
to print summary tables of linear mixed models.sjt.glmer
to print summary tables of generalized linear mixed models.
- Fixed formatting bug for pseudo-R2 in
sjt.glm
.