It seems that you have 900 files with the same parameters in each file (I might be reading more between the lines here than you inferred). However if this is the case, why not import each of the files into a common database and then link the database using ODBC connectivity options. If that is practical, you could then code a series of subsetting options to select the data you need for specific analysis, write reports, and then iteratively select the next set of records.
I may be suggesting a very simple solution, so forgive me if this trivializes your problem too greatly. Steve Friedman Ph. D. Spatial Statistical Analyst Everglades and Dry Tortugas National Park 950 N Krome Ave (3rd Floor) Homestead, Florida 33034 [EMAIL PROTECTED] Office (305) 224 - 4282 Fax (305) 224 - 4147 Chris Poliquin <[EMAIL PROTECTED] nn.edu> To Sent by: r-help@r-project.org [EMAIL PROTECTED] cc project.org Subject [R] Running R Script on a Sequence 12/05/2008 01:01 of Files PM EST 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 ______________________________________________ R-help@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. ______________________________________________ R-help@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.