Hi all,
I sent a request round last week asking for help with using a "for" loop to
read and separate a large dataset. The response I got worked great, but now I
have another problem with using my loop.
Basically I have a number of different files containing columned data. There
are 132 datasets, named such that I have something in the form...
precip_colxxx.txt
...where xxx is a number ranging from 1 to 132. What I want to do is read in
every 13th table and extract the third column, and then place this in a new
dataset. The new dataset will thus compose of 11 columns of data. I have
written the following bit of script to read in every 13th table separately,
however I'm not sure how to do the next step of creating a new data frame and
"dumping" the third column of my tables into this data frame. Is there are
chance I will have to do a nested loop?
for (i in seq(1,120,13)) {
nm <- sprintf('precip_col%03d.txt', i)
precip <- read.table(nm, header=T)
}
Thanks very much in advance.
Andy
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