ashenkin/devel

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, 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.

Installation

Latest development build

To install the latest development snapshot (see latest changes below), type following commands into the R console:

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

Please note that the latest development snapshot most likely depends on the latest build of the sjmisc-package, so you probably want to install it as well:

devtools::install_github("sjPlot/sjmisc")

Officiale, stable release

To install the latest stable release from CRAN, type following command into the R console:

install.packages("sjPlot")

Documentation and examples

Documentation and examples

Citation

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.

Changelog of development build 1.8.4-9

General

Fixed many issues related to the latest update of ggplot2.
Argument show.se is now deprecated. Use show.ci instead.
Redesign of computation of frequency tables for sjp.frq and sjt.frq, being more robust and generally working with labelled, non-labelled, numeric, character vectors and factors.
Redesign of computation of frequency tables for sjp.grpfrq and sjt.xtab, being more robust and generally working with labelled, non-labelled, numeric, character vectors and factors.
Better automatic handling of variable and value labels that are used for labelling plot axes and titles or table columns.

Changes to functions

sjp.lm gets a group.estimates argument to group estimates in forest plots and colour them according to group assignment. Use arguments show.legend and legendTitle to modify group legend.
sjp.lmer and sjp.glmer can now plot random effect parts of random slope-intercept models (with type = "rs.ri"), where regression lines or predicted probabilities of random intercept and slopes are plotted.
Intercept line plotting in sjp.int for type = "cond" was removed.
Line geoms for type = "cond" in sjp.int now always start at y-position zero, to better indicate the effective change of interaction effect compared to base reference. Now, the y-position indicates the change in the reponse due to the interaction effect.
sjp.int gets a geom.size argument to specify line width.

Bug fixes

Argument ci.hyphen in function sjt.lm and sjt.lmer was not correctly applied to confidence intervals of standardized beta values.

ashenkin / devel