[R] Minimum value by ID
Downey, Patrick
PDowney at urban.org
Tue May 17 16:09:31 CEST 2011
Perfect. Thank you.
-Mitch
-----Original Message-----
From: Dimitris Rizopoulos [mailto:d.rizopoulos at erasmusmc.nl]
Sent: Tuesday, May 17, 2011 9:51 AM
To: Downey, Patrick
Cc: r-help at r-project.org
Subject: Re: [R] Minimum value by ID
have a look at help file of function tapply(), and try this:
with(dat, tapply(x, id.var, min))
I hope it helps.
Best,
Dimitris
On 5/17/2011 3:44 PM, Downey, Patrick wrote:
> Hello,
>
> I have a longitudinal dataset where each individual has a different
> number of entries. Thus, it is of the following structure:
>
> x<- runif(12)
> id.var<- factor(c(rep("D1",4),rep("D2",2),rep("D3",3),rep("D4",3)))
> dat<- as.data.frame(x)
> dat$id.var<- id.var
> dat
>
>> dat
> x id.var
> 1 0.9611269 D1
> 2 0.6738606 D1
> 3 0.9724301 D1
> 4 0.9787778 D1
> 5 0.2468355 D2
> 6 0.7031734 D2
> 7 0.2458727 D3
> 8 0.8439799 D3
> 9 0.5223196 D3
> 10 0.6930475 D4
> 11 0.8887677 D4
> 12 0.5483756 D4
>
> I want to create a vector with length equal to the number of unique
> id.var and which has the minimum value for each id.var. That is, I
> want a vector which holds the minimum value for each person in my
dataset.
>
> The following works, but I'm sure there is something more efficient. I
> would assume there is a function for this, but couldn't find anything.
>
> id<- levels(id.var)
> min<- rep(0,length(id))
> for(i in 1:length(id)){
> min[i]<- min(dat$x[dat$id.var==id[i]]) } min
>
>> min
> [1] 0.6738606 0.2468355 0.2458727 0.5483756
>
> Thank you in advance,
> Mitch
>
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--
Dimitris Rizopoulos
Assistant Professor
Department of Biostatistics
Erasmus University Medical Center
Address: PO Box 2040, 3000 CA Rotterdam, the Netherlands
Tel: +31/(0)10/7043478
Fax: +31/(0)10/7043014
Web: http://www.erasmusmc.nl/biostatistiek/
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