Running R Script on a Sequence of Files
"This is almost a macro problem. It could be done in SAS language using the WPS product (660 USD) I think. ..." OUCH! Why do it the complicated way??? Check out ?dir, ?list.files, and then ?lapply for a simple start. Don't give up so soon! When it comes to R there is no need to punt - you can always keep possession of the ball ... :-) Cheers, Jagat -----Original Message----- From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of Ajay ohri Sent: Friday, December 05, 2008 12:59 PM To: Chris Poliquin Cc: r-help at r-project.org Subject: Re: [R] Running R Script on a Sequence of Files This is almost a macro problem. It could be done in SAS language using the WPS product (660 USD) I think. It is a familiar problem and I would be quite interested in the result. Is there any concept of Macros in R or a package to do the same. Regards, Ajay On Fri, Dec 5, 2008 at 11:31 PM, Chris Poliquin
<poliquin at sas.upenn.edu>wrote:
Hi, I have about 900 files that I need to run the same R script on. I
looked
over the R Data Import/Export Manual and couldn't come up with a way
to
read in a sequence of files. The files all have unique names and are in the same directory. What I
want
to do is: 1) Create a list of the file names in the directory (this is really
what I
need help with)
2) For each item in the list...
a) open the file with read.table
b) perform some analysis
c) append some results to an array or save them to another file
3) Next File
My initial instinct is to use Python to rename all the files with
numbers
1:900 and then read them all, but the file names contain some
information
that I would like to keep intact and having to keep a separate
database of
original names and numbers seems inefficient. Is there a way to have
R read
all the files in a directory one at a time? - Chris
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______________________________________________ R-help at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.