How to get prediction of classes in gam?
I have a problem with getting predicted classes from a gam-model using
the gam function in the "mgcv"-package.
I have a dataset where I have classified the response variable into 5
classes (i. e. 1, 2, 3, 4, 5) and I want to use a gam-model generated on
a training dataset (traindata) to predict the class beloning of data
from a test-dataset (testdata) but I can't get it to work.
I generated the gam-model using:
model<-gam(growthclass~Vol+Expo+distance+......+temperature,family=binomial,
type="classification",data=traindata)
When I then try to predict the class beloning of the test-dataset using:
pred<-predict(model,newdata=testdata)
I get results like this:
2 4 6 7 9
-1.93680872 2.28422570 0.99747563 0.03627236 0.74235160
But I really want the results to look like this:
2 4 6 7 9
1 3 2 1 2
i.e. the predicted classes for the new samples.
Obviously I am doing something wrong and it is probably very simple to solve
but I've got stuck on it for a while and would appreciate some help solving it.
Thanks
Per
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