Re: [R] Linear regression on several groups

Have a look at lmList() in the nlme package. > -Original Message- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r- > project.org] On Behalf Of JesperHybel > Sent: Friday, August 13, 2010 7:56 AM > To: r-help@r-project.org > Subject: Re: [R] Linear reg

Re: [R] Linear regression on several groups

Example is spot on - sr for not providing one myself. The results you calculate are what I'm looking for. Would like a function F where I could type: F(weight ~ Time, data = ChickWeight, SOME ARGUMENT = Diet)) Resulting in for (i in 1:4){ print( lm(weight ~ Time, data = ChickWeight, subset =

Re: [R] Linear regression on several groups

hi, maybe an ANCOVA is what you want, which is also done by lm in R lm(y~x*z) Am 12.08.2010 17:11, schrieb JesperHybel: > > I have a simple dataset of a numerical dependent Y, a numerical independent X > and a categorial variable Z with three levels. I want to do linear > regression Y~X for ea

Re: [R] Linear regression on several groups

Please read the posting guide and include a standalone example. Maybe you want something like the results from lm(weight ~ Time, data = ChickWeight, subset = Diet==1) lm(weight ~ Time, data = ChickWeight, subset = Diet==2) ## ... etc ... Then you could do (m <- lm(weight ~ Time*Diet, data = C

[R] Linear regression on several groups

I have a simple dataset of a numerical dependent Y, a numerical independent X and a categorial variable Z with three levels. I want to do linear regression Y~X for each level of Z. How can I do this in a single command that is without using lm() applied three isolated times? -- View this message