reshaping data?

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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