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. Don't for get the
default parameterization is for treatment effects.
I'm trying to produce a plot similar to the first shown in this link:
http://homepages.nyu.edu/~mrg217/interaction.html#code
If you want to provide an example ...and a more complete description
of the desire output, I sure someone here can finish the job of
showing you how setting up a call to predict will get you to that goal.
--
David.
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
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______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
David Winsemius, MD
West Hartford, CT
______________________________________________
R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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