Hello, I would like to probe a significant 2-way, cross-level interaction effect from a linear mixed effects model that I ran using nlme.
My model is as follows: mlmmodel <- lme(fixed = RegDiseng ~ Happy + TraitHAPPYmean + Happy*TraitHAPPYmean, random = ~ Happy | ID, data = data, na.action=na.omit) DV=RegDiseng Level 1 variable = Happy Level 2 variable = TraitHAPPYMean I'd like to plot and test the significance of simple slopes a la Preacher (i.e. http://www.quantpsy.org/interact/hlm2.htm) . I was wondering if anyone knows a simple way to do this directly in R, so that I do not have to extract the estimates from my R output, enter them into the website, and then re-enter that code into R. Many thanks! Nastassia [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.