Hi Stephen,
Check the help for predict.glm(). The argument for passing new data is
actually 'newdata', as in:
> pred = predict(glm.model, newdata=form[150001:200000,-1],
> type="response")
Cheers Joe
-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
On Behalf Of stephenc at ics.mq.edu.au
Sent: Tuesday, 16 October 2007 5:30 AM
To: r-help at stat.math.ethz.ch
Subject: [R] partitioning data
I am trying to train on part of my data and test on another part:
> glm.model = glm(as.factor(h_finished) ~ . , family=binomial,
data=form[1:150000,])> pred = predict(glm.model, data=form[150001:200000,-1],
> type="response") t = table(pred, form[150001:200000,1])
Error in table(pred, form[150001:2e+05, 1]) :
all arguments must have the same length
but try as I might my pred has too many lines:
> length(pred)
[1] 150000> length(form[150000:200000, 1])
[1] 50000
[150000:200000, 1] works in the table function and indeed immediately
above. How can I make the [150000:200000, 1] work the predict function?
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