R's IO is indeed 20 - 50 times slower than that of equivalent C code no matter what you do, which has been a pain for some of us. It does however help read the Import/Export tips as w/o them the ratio gets much worse. As Gabor G. suggested in another mail, if you use the file repeatedly you can convert it into internal format: read.table once into R and save using save()... This is much faster.
In my experience R is not so good at large data sets, where large is roughly 10% of your RAM. ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
