sjPlot/ggtidyr: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs

Compute marginal effects at the mean or average marginal effects from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Marginal effects can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The two main functions are 'ggpredict()' and 'ggaverage()', however, there are some convenient wrapper-functions especially for polynomials or interactions. There is a generic 'plot()'-method to plot the results using 'ggplot2'.

Getting started

Package details

AuthorDaniel Lüdecke <[email protected]>
MaintainerDaniel Lüdecke <[email protected]>
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
sjPlot/ggtidyr documentation built on May 26, 2017, 10:08 a.m.