Message-ID: <1354301441.51214.YahooMailNeo@web142605.mail.bf1.yahoo.com>
Date: 2012-11-30T18:50:41Z
From: arun
Subject: subgroup-based quantiles
In-Reply-To: <50B8F5FA.30802@sapo.pt>
Hi,
You could also try ?ave()
dat$Age_group<-ave(dat$Age,dat$GENDER,FUN=function(x){cut(x,labels=1:10,breaks=quantile(x,seq(0,1,.1)),include.lowest=TRUE)})
?dat
#? GENDER Age Age_group
#1????? 2? 45???????? 1
#2????? 1? 58??????? 10
#3????? 1? 54???????? 1
#4????? 2? 71??????? 10
#5????? 2? 64???????? 5
A.K.
----- Original Message -----
From: Rui Barradas <ruipbarradas at sapo.pt>
To: R Kozarski <r.kozarski at gmail.com>
Cc: r-help at r-project.org
Sent: Friday, November 30, 2012 1:07 PM
Subject: Re: [R] subgroup-based quantiles
Hello,
If you want Age quantiles by gender, you have to split the data by
gender, apply the same code then recombine the result.
fun <- function(x){
? ? Age_group <- cut(x[, "Age"], labels=c(1:10),
? ? ? ? breaks=quantile(x[, "Age"], seq(0,1,.1)),
? ? ? ? include.lowest = TRUE)
? ? cbind(x, Age_group)
}
result <- do.call(rbind, lapply(split(dat, dat[, "GENDER"]), fun))
rownames(result) <- seq_len(nrow(result))
result
Hope this helps,
Rui Barradas
Em 30-11-2012 12:18, R Kozarski escreveu:
> Dear R users,
> given the patient sample with their Gender and Age
>? ? ? ? ? GENDER Age
>? ? [1,]? ? ? 2? 45
>? ? [2,]? ? ? 1? 58
>? ? [3,]? ? ? 1? 54
>? ? [4,]? ? ? 2? 71
>? ? [5,]? ? ? 2? 64
>? ...
> I would like to create an another column which groups the patients wrt
> Gender specific Age quantiles, following methodology similar to:
>
> Age_group <- cut(Age, labels=c(1:10), breaks=quantile(Age,
> seq(0,1,.1)),include.lowest = TRUE)
>
> The function above allows me to group only wrt Age quantiles.
>
> Best, Robert
>
>
>
>
> --
> View this message in context: http://r.789695.n4.nabble.com/subgroup-based-quantiles-tp4651415.html
> Sent from the R help mailing list archive at Nabble.com.
>
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