R help - Feb 2006 - predicting glm on a new dataset

Hello together,

I would like to predict my fitted values on a new dataset. The original dataset
consists of the variable a and b (data.frame(a,b)). The dataset for prediction
consists of the same variables, but variable b has a constant value (x) added
towards it (data.frame (a,b+x).

The prediction command returns the identical set of predicted values as for the
original dataset yet I would have expected them to change due to b+x.

Were have I gone wrong?

Heres my code:

orig.frame<-data.frame(y,a,b)

pred.frame<-data.frame(a,b+x)

attach(orig.frame)

modela<-glm(y~a+b,binomial)

pr<-predict(modela,newdata=pred.frame,type="response")

many thanks

Chris


	



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Christian Jones wrote:
> 
> Hello together,
> 
> I would like to predict my fitted values on a new dataset. The original
dataset consists of the variable a and b (data.frame(a,b)). The dataset for
prediction consists of the same variables, but variable b has a constant value
(x) added towards it (data.frame (a,b+x).
> 
> The prediction command returns the identical set of predicted values as for
the original dataset yet I would have expected them to change due to b+x.
> 
> Were have I gone wrong?
> 
> Heres my code:
> 
> orig.frame<-data.frame(y,a,b)
> 
> pred.frame<-data.frame(a,b+x)
> 
> attach(orig.frame)
> 
> modela<-glm(y~a+b,binomial)
> 
> pr<-predict(modela,newdata=pred.frame,type="response")
Does this work for you?

orig.frame <- data.frame(y, a, b)
pred.frame <- data.frame(a, b = b + x)
modela <- glm(y ~ a + b, family = binomial, data = orig.frame)
pr <- predict(modela, newdata = pred.frame, type = "response")

-- 
Chuck Cleland, Ph.D.
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