Re: [R] Marginal effects from interaction regression model

2010-07-26 Thread David Winsemius
On Jul 25, 2010, at 11:47 PM, Guillem R. wrote: 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. If you want the betas, then simply print the object.

Re: [R] Marginal effects from interaction regression model

2010-07-26 Thread Michael Friendly
The plots you are looking for are called 'effect plots'. See the effects package by John Fox. Guillem R. wrote: 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

Re: [R] Marginal effects from interaction regression model

2010-07-25 Thread David Winsemius
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)

Re: [R] Marginal effects from interaction regression model

2010-07-25 Thread Guillem R.
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: