Re: [R] How to do covariate adjustment in R

On Thu, May 19, 2011 at 10:58 PM, karena wrote: > Thank you so much for this reply, Peter. It helps. > > I know this is one way to adjust for covariates. However, if what I want is > to get the 'remaining values' after adjustment. For example, say, 'gene > expression' value is denoted as 'ge', and

Re: [R] How to do covariate adjustment in R

Thanks a lot for the great help, Timothy! K -- View this message in context: http://r.789695.n4.nabble.com/How-to-do-covariate-adjustment-in-R-tp3537463p3538962.html Sent from the R help mailing list archive at Nabble.com. __ R-help@r-project.org mail

Re: [R] How to do covariate adjustment in R

Dear Karena, x = 1:100 y = rnorm(100) fit = lm(x~y) # what properties does a fit have? names(fit) # [1] "coefficients" "residuals" "effects" "rank" "fitted.values" "assign""qr" # [8] "df.residual" "xlevels" "call" "terms" "model"

Re: [R] How to do covariate adjustment in R

Thank you so much for this reply, Peter. It helps. I know this is one way to adjust for covariates. However, if what I want is to get the 'remaining values' after adjustment. For example, say, 'gene expression' value is denoted as 'ge', and for each gene, ge=a*age+b*sex+c*per_se My question is:

Re: [R] How to do covariate adjustment in R

On Thu, May 19, 2011 at 7:21 PM, karena wrote: > Hi, I have a question about how to do covariate adjustment. > > I have two sets of 'gene expression' data. They are from two different > tissue types, 'liver' and 'brain', respectively. > The purpose of my analysis is to compare the pattern of the w

[R] How to do covariate adjustment in R

Hi, I have a question about how to do covariate adjustment. I have two sets of 'gene expression' data. They are from two different tissue types, 'liver' and 'brain', respectively. The purpose of my analysis is to compare the pattern of the whole genome 'gene expression' between the two tissue typ