Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

Get Started for Free

interactions

Comprehensive, User-Friendly Toolkit for Probing Interactions

A suite of functions for conducting and interpreting analysis of statistical interaction in regression models that was formerly part of the 'jtools' package. Functionality includes visualization of two- and three-way interactions among continuous and/or categorical variables as well as calculation of "simple slopes" and Johnson-Neyman intervals (see e.g., Bauer & Curran, 2005 <doi:10.1207/s15327906mbr4003_5>). These capabilities are implemented for generalized linear models in addition to the standard linear regression context.

Functions (13)

as_huxtable.sim_margins

Create tabular output for simple margins analysis

as_huxtable.sim_slopes

Create tabular output for simple slopes analysis

Plot interaction effects between categorical predictors.

interact_plot

Plot interaction effects in regression models

johnson_neyman

Calculate Johnson-Neyman intervals for 2-way interactions

plot.sim_margins

Plot coefficients from simple slopes analysis

plot.sim_slopes

Plot coefficients from simple slopes analysis

probe_interaction

Probe interaction effects via simple slopes and plotting

Objects exported from other packages

sim_margins

Perform a simple margins analysis.

sim_margins_tidiers

Tidiers for sim_margins() objects.

Perform a simple slopes analysis.

sim_slopes_tidiers

Tidiers for sim_slopes() objects.

interactions

Comprehensive, User-Friendly Toolkit for Probing Interactions

v1.1.3

MIT + file LICENSE

Authors

Jacob A. Long [aut, cre] (<https://orcid.org/0000-0002-1582-6214>)

Initial release

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.