Re: [R] linear model in the repeated data type~

From: Manli Yan <manliyanrhelp_at_gmail.com>
Date: Wed, 04 Jun 2008 22:12:06 -0600

hi:lot thanks,how to use list to extract,I type allFit$coefficents,it came to nothing,
such as I need to extract the estimates,how to do it by using list

2008/6/3 Austin, Matt <maustin_at_amgen.com>:

> How about
>
>
> library(nlme)
> allFits <- lmList(y ~ t|id, data=table1, pool=FALSE)
>
> or
>
> allFits <- by(table1, table1$id, function(x) lm(y ~ t, data=x))
>
> Both ways store the results as a list, so you can access individual results
> using list extraction.
>
>
> --Matt
>
> -----Original Message-----
> From: r-help-bounces_at_r-project.org [mailto:r-help-bounces_at_r-project.org]
> On Behalf Of Manli Yan
> Sent: Tuesday, June 03, 2008 9:07 PM
> To: r-help_at_r-project.org
> Subject: [R] linear model in the repeated data type~
>
> here is the data:
> y<-c(5,2,3,7,9,0,1,4,5)
> id<-c(1,1,6,6,7,8,15,15,19)
> t<-c(50,56,50,56,50,50,50,60,50)
> table1<-data.frame(y,id,t)//longitudinal data
>
> what I want to do is to use the linear model for each id ,then get the
> estimate value,like:
>
> fit1<-lm(y~t,data=table1,subset=(id==1))
>
> but ,you can see the variable "id" is quite irregular,they are not
> arranaged in order and many number missing,if I write a loop by using
> "for",it will give me a lot "NA", and for sure ,I dont want to type id=##
> for about 500 times,any one know how to deal with it?
>
> [[alternative HTML version deleted]]
>
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>

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