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 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! >> >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> R-help@r-project.org mailing list >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide >> http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. >> > > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
