Re: [R] Issue with predict() for glm models

2004-09-23 Thread Uwe Ligges
[EMAIL PROTECTED] wrote: Hello everyone, I am having a problem using the predict (or the predict.glm) function in R. Basically, I run the glm model on a training data set and try to obtain predictions for a set of new predictors from a test data set (i.e., not the predictors that were utilized

RE: [R] Issue with predict() for glm models

2004-09-23 Thread John Fox
, John -Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Uwe Ligges Sent: Thursday, September 23, 2004 1:33 AM To: [EMAIL PROTECTED] Cc: [EMAIL PROTECTED] Subject: Re: [R] Issue with predict() for glm models [EMAIL PROTECTED] wrote: Hello everyone

Re: [R] Issue with predict() for glm models

2004-09-23 Thread Uwe Ligges
: Thursday, September 23, 2004 1:33 AM To: [EMAIL PROTECTED] Cc: [EMAIL PROTECTED] Subject: Re: [R] Issue with predict() for glm models [EMAIL PROTECTED] wrote: Hello everyone, I am having a problem using the predict (or the predict.glm) function in R. Basically, I run the glm model on a training data set

RE: [R] Issue with predict() for glm models

2004-09-23 Thread John Fox
Dear Uwe, -Original Message- From: Uwe Ligges [mailto:[EMAIL PROTECTED] Sent: Thursday, September 23, 2004 8:06 AM To: John Fox Cc: [EMAIL PROTECTED]; [EMAIL PROTECTED] Subject: Re: [R] Issue with predict() for glm models John Fox wrote: Dear Uwe, Unless I've somehow

RE: [R] Issue with predict() for glm models

2004-09-23 Thread jrausch
Thanks to John Fox, Andy Liaw, and Uwe Ligges for their help with my problem regarding the use of the predict() function to obtain predictions for a new set of predictor values. It appears that the bottom line (at least for my purposes) is that the names and the setup for the data of the

Re: [R] Issue with predict() for glm models

2004-09-23 Thread Uwe Ligges
John Fox wrote: Dear Uwe, -Original Message- From: Uwe Ligges [mailto:[EMAIL PROTECTED] Sent: Thursday, September 23, 2004 8:06 AM To: John Fox Cc: [EMAIL PROTECTED]; [EMAIL PROTECTED] Subject: Re: [R] Issue with predict() for glm models John Fox wrote: Dear Uwe, Unless I've somehow

followup: Re: [R] Issue with predict() for glm models

2004-09-23 Thread Paul Johnson
PROTECTED] Sent: Thursday, September 23, 2004 8:06 AM To: John Fox Cc: [EMAIL PROTECTED]; [EMAIL PROTECTED] Subject: Re: [R] Issue with predict() for glm models John Fox wrote: Dear Uwe, Unless I've somehow messed this up, as I mentioned yesterday, what you suggest doesn't seem to work when

RE: followup: Re: [R] Issue with predict() for glm models

2004-09-23 Thread Austin, Matt
Could you just use lines(newX, myPred, col=2) -Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] Behalf Of Paul Johnson Sent: Thursday, September 23, 2004 10:3 AM To: r help Subject: followup: Re: [R] Issue with predict() for glm models I have a follow up question

Re: followup: Re: [R] Issue with predict() for glm models

2004-09-23 Thread Marc Schwartz
On Thu, 2004-09-23 at 12:02, Paul Johnson wrote: I have a follow up question that fits with this thread. Can you force an overlaid plot showing predicted values to follow the scaling of the axes of the plot over which it is laid? Here is an example based on linear regression, just for

RE: [R] Issue with predict() for glm models

2004-09-23 Thread John Fox
Dear Uwe, -Original Message- From: Uwe Ligges [mailto:[EMAIL PROTECTED] Sent: Thursday, September 23, 2004 11:37 AM To: John Fox Cc: [EMAIL PROTECTED] Subject: Re: [R] Issue with predict() for glm models . . . John, note that I used glm(y ~ .) (the dot!), because

Re: [R] Issue with predict() for glm models

2004-09-23 Thread Uwe Ligges
John Fox wrote: Dear Uwe, -Original Message- From: Uwe Ligges [mailto:[EMAIL PROTECTED] Sent: Thursday, September 23, 2004 11:37 AM To: John Fox Cc: [EMAIL PROTECTED] Subject: Re: [R] Issue with predict() for glm models . . . John, note that I used glm(y ~ .) (the dot!), because

Re: [R] Issue with predict() for glm models

2004-09-22 Thread John Fox
Dear Mark and Joe, Actually, the problem here appears to be caused by the use of a matrix on the RHS of the model formula. I'm not sure why this doesn't work (I must be missing something -- perhaps someone else can say what), but Joe can get the output he expects by specifying the columns of his