[R] reshaping data?

[Dimitris Rizopoulos]

you could use something like this (but maybe there are better 
proposals):

dat <- data.frame(g = rep(letters[1:3], each = 5), val = runif(15))

out <- do.call(rbind, lapply(split(dat$val, dat$g), function(x){
    f <- factor(findInterval(x, vec = seq(0, 1, 0.1)), levels = 1:10)
    table(f)
    }))
colnames(out) <- seq(0.1, 1, 0.1)
out


I hope it helps.

Best,
Dimitris

----
Dimitris Rizopoulos
Ph.D. Student
Biostatistical Centre
School of Public Health
Catholic University of Leuven

Address: Kapucijnenvoer 35, Leuven, Belgium
Tel: +32/(0)16/336899
Fax: +32/(0)16/337015
Web: http://www.med.kuleuven.be/biostat/
     http://www.student.kuleuven.be/~m0390867/dimitris.htm


----- Original Message ----- 
From: "Karin Lagesen" <karin.lagesen at medisin.uio.no>
To: <r-help at r-project.org>
Sent: Thursday, September 29, 2005 3:16 PM
Subject: [R] reshaping data?


>
> I have a file like this:
>
>
> a       0.1
> a       0.2
> a       0.9
> b       0.5
> b       0.9
> b       0.7
> c       0.6
> c       0.99
> c       0.88
>
> Which I would like to get to be the following matrix:
>
>      0.1     0.2    0.3    0.4  ...
> a     1        2     0       0
> b     0        0     0       0
> ..
>
> I.e: each place in the matrix denotes how many entries in each
> category that are betwee 0.0 and 0.1, 0.1 and 0.2 and so on.
>
> The way I was thinking of doing it was by constructing an empty 
> matrix
> and then doing a for loop testing each element and incrementing in 
> the
> matrix as appropriate. However, it struck me that this has to be
> easier to do than that. Am I right?
>
> Karin
> -- 
> Karin Lagesen, PhD student
> karin.lagesen at medisin.uio.no
> http://www.cmbn.no/rognes/
>
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