As far as I know, the predict command gives the predicted values (and intervals) of y, but what I'm looking for is the conditional effects (betas) of x on y conditional on values of z.
I'm trying to produce a plot similar to the first shown in this link: http://homepages.nyu.edu/~mrg217/interaction.html#code Thanks again David Winsemius wrote: > > > On Jul 25, 2010, at 10:24 PM, Guillem R. wrote: > >> >> Dear all, >> >> I'd like to plot the marginal effect of a variable in a multiplicative >> interaction regression, that is, the effect of a variable >> conditional on the >> values of another variable. As an illustration, given model lm1 >> >> lm1 <- lm(y ~ x*z) > > ? predict > > Perhaps: > > predict(lm1, newdata=data.frame(x=1:10, z=5), interval="confidence") > > >> >> I'd like to get the effects of x on y conditional on the values of >> z, with >> the corresponding confidence intervals if possible. Does anyone know >> of any >> package or simple way to do this? >> >> Thanks > > -- > > David Winsemius, MD > West Hartford, CT > > ______________________________________________ > 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. > > -- View this message in context: http://r.789695.n4.nabble.com/Marginal-effects-from-interaction-regression-model-tp2301858p2301884.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.