Is this what you want:
> x <- read.table(textConnection("ID Time Failuretime Censoringind
> longitudinalmeasure
+ 1 0 35 0 123
+ 1 10 35 0 120
+ 1 25 35 1 123
+ 2 0 23 0 100
+ 2 10 23 0 111"), header=TRUE)
> do.call(rbind, lapply(split(x, x$ID), function(.grp) .grp[1,]))
ID Time Failuretime Censoringind longitudinalmeasure
1 1 0 35 0 123
2 2 0 23 0 100
>
>
>
On Fri, Jul 25, 2008 at 3:31 PM, john james <[EMAIL PROTECTED]> wrote:
> Dear R-help mailing list,
>
> I have this problem, I have a joint longitudinal and survival data of the
> form say
>
> ID Time Failuretime Censoringind longitudinalmeasure
> 1 0 35 0 123
> 1 10 35 0 120
> 1 25 35 1 123
> 2 0 23 0 100
> 2 10 23 0 111
>
>
> I wish to create a new dataset such that only the first measurement is
> included.
>
> Also, i will appreciate if there is a function that i could call to do this
> because I will be applying it too in a simulation settings.
>
> Thank you for your time.
>
> James.
>
>
>
> [[alternative HTML version deleted]]
>
>
> ______________________________________________
> R-help@r-project.org mailing list
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
>
--
Jim Holtman
Cincinnati, OH
+1 513 646 9390
What is the problem you are trying to solve?
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