The reghelper R package includes a set of functions used to automate
commonly used methods in regression analysis. This includes plotting
interactions, calculating simple slopes, calculating standardized
coefficients, etc.
Version 0.3.5 has been released. The most recent stable release is available on CRAN, and can be installed like so:
install.packages("reghelper")You can also install the stable release from Github:
install.packages("devtools")
devtools::install_github("jeff-hughes/reghelper")If you would like to install the latest development version, you can do so with the following code:
install.packages("devtools")
devtools::install_github("jeff-hughes/reghelper@develop")Networked computers can sometimes result in installation issues, as the
install_github function sometimes has difficulty with networked
directories. If this happens to you, use the .libPaths() function to
find the path to your R libraries. That will likely give you a path
starting with two backslashes, but you will need to convert that to a
path starting with a drive letter (e.g., ‘C:’, ‘D:’). From there, use
the following code:
install.packages("devtools")
devtools::install_github("jeff-hughes/reghelper", args=c('--library="N:/path/to/libraries/"'))Obviously, change the path to the path where your R libraries are stored.
So far, most functions that I had originally planned to include have
been implemented for lm models. These functions include:
betaCalculates standardized beta coefficients.build_modelAllows variables to be added to a series of regression models sequentially (similar to SPSS).ICCCalculates the intra-class correlation for a multi-level model.cell_meansCalculates the estimated means for a fitted model.graph_modelEasily graph interactions at +/- 1 SD (uses ggplot2 package).sig_regionsCalculate the Johnson-Neyman regions of significance for an interaction.simple_slopesEasily calculate the simple effects of an interaction.
The table below shows the current types of models for which each function has been implemented:
| Function | lm | glm | aov | lme | lmer |
|---|---|---|---|---|---|
| beta | ✓ | ✓ | ✓ | ✓ | ✓ |
| build_model | ✓ | ✓ | ✓ | ||
| ICC | – | – | – | ✓ | ✓ |
| cell_means | ✓ | ✓ | ✓ | ||
| graph_model | ✓ | ✓ | ✓ | ✓ | ✓ |
| sig_regions | ✓ | ✓ | – | ||
| simple_slopes | ✓ | ✓ | ✓ | ✓ | ✓ |