[R] lme help
Hi list, I am fitting microarray data (intensity) model using the lme package in R environment. I have 5 fixed variables in the model. One of the fixed variables is genes. I am trying to get p-values for different genes. But I am getting only one p-value for all genes together. I can get a list of p-value when I run lm. Why can't this work in lme? My aim is to do multiple comaprison of all the genes that I have and I can only do this if I have a list of their p-vales I was wondering if you can help me solve this problem. That is getting a list of p-value for each gene in the model using the lme. Thanks in advance for your help Regards Mahdi -- --- Mahdi Osman (PhD) E-mail: [EMAIL PROTECTED] __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Re: [R] lme help
Please read the posting 1) I think BioConductor mailing list might be better as some of these could be implemented via LIMMA (I believe) 2) Provide sufficient information and perhaps a simple example. Regards, Adai On Wed, 2006-02-08 at 10:42 +0100, Mahdi Osman wrote: Hi list, I am fitting microarray data (intensity) model using the lme package in R environment. I have 5 fixed variables in the model. One of the fixed variables is genes. I am trying to get p-values for different genes. But I am getting only one p-value for all genes together. I can get a list of p-value when I run lm. Why can't this work in lme? My aim is to do multiple comaprison of all the genes that I have and I can only do this if I have a list of their p-vales I was wondering if you can help me solve this problem. That is getting a list of p-value for each gene in the model using the lme. Thanks in advance for your help Regards Mahdi __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
[R] lme help
Does anyone know how to fit a linear mixed effects model when the within-group covariance is known!I know how to fit an lme model when the within-group covariance STRUCTURE is known, but that doesn't help. Any help would be greatly appreciated! __ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
