Roger wrote:
Thanks for the reply, that was a typo only in the post. as i was trying to
remove some 'sensitive names'. In my real work, i made sure that
1) this command runs without problem
qdata.glm = glm(X258 ~ ., family = binomial, data = qdata[
sample(dim(qdata)[1], 1000), ] )
2) these two gave a warning
qdata.sample = qdata[sample(dim(qdata)[1], 1000), ]
qdata.glm = glm(X258 ~ ., family = binomial, qdata.sample)
Warning message:
In glm.fit(x = X, y = Y, weights = weights, start = start, etastart =
etastart, :
fitted probabilities numerically 0 or 1 occurred
Probably you have only one class in your sample.
Uwe Ligges
Can you explain why this is?
Thanks!
On Sat, Feb 14, 2009 at 8:09 AM, Duncan Murdoch <murd...@stats.uwo.ca>wrote:
On 13/02/2009 11:59 PM, Roger wrote:
Hello,
I have a weird problem here. What I want to do is that I need to draw
1000
samples from a matrix, and use glm on them.
when I used this command, it runs without the problem
qdata.glm = glm(X258 ~ ., family = binomial, data =
q2data[sample(dim(q2data)[1], 1000), ])
but if I drew the sample first and run glm() on that sample, it gave a
warning.
qdata.sample = q2data[sample(dim(qdata)[1], 1000), ]
This looks like a typo: you took the dim of the wrong thing here.
Duncan Murdoch
qdata.glm = glm(X258 ~ ., family = binomial, qdata.sample)
Warning message:
In glm.fit(x = X, y = Y, weights = weights, start = start, etastart =
etastart, :
fitted probabilities numerically 0 or 1 occurred
Because I need to use that same sample later, I have to save it in
qdata.sample. therefore the first command does not work in my case because
I
cannot actually get the same 1000 sample after that.
anyone knows how to solve this?
Thanks!
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