Message-ID: <50B8F5FA.30802@sapo.pt>
Date: 2012-11-30T18:07:54Z
From: Rui Barradas
Subject: subgroup-based quantiles
In-Reply-To: <1354277916861-4651415.post@n4.nabble.com>
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
>
>
>
>
> --
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>
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