Re: [R] glm problem
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.cawrote: 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.
Re: [R] glm problem
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.cawrote: 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. __ 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.
[R] glm problem
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), ] 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.
Re: [R] glm problem
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. __ 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.
[R] glm problem
Hi, this is my code: model-glm(Risk ~ Status + Duration + Credit_History + Credit_amount + Savings + Employment + Inst_rate + Residence + Property + Age + plans + Housing + Credits + Job + Liable + Telephone + Foreign_worker + Purpose_A40 + Purpose_A41 + Purpose_A42 + Purpose_A43 + Purpose_A44 + Purpose_A45 + Purpose_A46 + Purpose_A48 + Purpose_A49 + P_Status_A91 + P_Status_A92 + P_Status_A93 + P_Status_A94 + Others_A101 + Others_A102 + Others_A103,data=Training_Set, family=binomial(logit)) ### Plotting the ROC curve ### ROC-roc.plot(model$fitted.values,Training_Set[Risk],show.thres=FALSE,main=My ROC Plot,xlab=1-specifity,ylab=sensitivity) the glm works fine, but I need to do further analysis on it (roc.plot etc.), so I wrote the last line (from above), and got this error: Error: subscript out of bounds The original dataset is 800 by 34, and the glm was conducted on a training set of the 600 first rows. Can someone help? - Have a wonderful day. David Einhorn, Israel. 972+525058538 [EMAIL PROTECTED] [[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.
