On Feb 6, 2010, at 4:13 PM, David Freedman wrote:
You might want to look at the plot.Predict function in the rms
package - it
allows you to plot the logits or probablities vs the predictor
variable at
specified levels of other covariates (if any) in the model. There
are many
examples in http://cran.r-project.org/web/packages/rms/rms.pdf
But it will not work on a glm( ..., family=binomial) object. To work
with such an object you would need to plot exp(fit$linear.predictors)
or fit$fitted.values
plot.Predict will only work with the functions in the rms package, ...
in the case of logistic models that would be lrm().
David Freedman
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David Winsemius, MD
Heritage Laboratories
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