Consider using a 'list' to hold the matrices:
dataList <- lapply(1:47, function(num){
read.csv(paste('country', num, '.raw', sep=''), header=TRUE)
}
You can then access your data like:
dataList[[23]] for the 23rd file read in.
On Tue, Jul 20, 2010 at 7:52 AM, Daniel Caro <dca...@googlemail.com> wrote:
> Hi R users,
>
> I am a newbie and therefore the naive question. Sorry but I was unable
> to find an answer online. I would like to read 47 data sets
> (country1.raw, country2.raw, ... country47.raw) and save into a matrix
> each time (data1, data2, ....data47).
>
> for (i in 1:47){
> data(?) <- read.csv(file.path("country", i, ".raw", fsep = ""), header = TRUE)
> }
>
> The read.cvs statement seems to be right, but how to include "i" in
> "data" for it to create 47 matrices and not 1 (the last one).
>
> Thank you,
> Daniel
>
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
--
Jim Holtman
Cincinnati, OH
+1 513 646 9390
What is the problem that you are trying to solve?
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