Take a look at the caret package
http://cran.r-project.org/web/packages/caret/index.html
and the package vignettes, especially the one labeled as "model
builing".
Max
On Mar 15, 2010, at 6:11 PM, noclue_ <tim....@netzero.net> wrote:
I am comparing kknn and logistic regression for binary outcome
prediction -
For kknn, I can do -
kknn_<-kknn(out_come ~ age + gender , learn_, valid_)
fit<-fitted(kknn_)
table(valid_$out_come, fit)
to get validation results in cross-tabulation.
---------
For logistic, how can I do the equivalent cross-validation?
logit_<-glm(out_come ~ age + gender, data=learn_, family=binomial)
...
...
then how could I fit the logistic regression on validation data (ie.
valid_)
to get predicted outcome?
Thanks!
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