[R] R File IO Slow?

2007-03-01 Thread ramzi abboud
Is R file IO slow in general or am I missing something? It takes me 5 minutes to do a load(MYFILE) where MYFILE is a 27 MB Rdata file. Is there any way to speed this up? The one idea I have is having R call a C or Perl routine, reading the file in that language, converting the data in to R

Re: [R] R File IO Slow?

2007-03-01 Thread Henrik Bengtsson
Just an idea: Two things that can slow down save()/load() is if you save() in ASCII format or a compressed binary format. If this is your case for MYFILE, try to resave in a non-compressed binary format. See ?save for details. /HB On 3/1/07, ramzi abboud [EMAIL PROTECTED] wrote: Is R file IO

Re: [R] R File IO Slow?

2007-03-01 Thread Roger D. Peng
A 27MB .RData file is relatively big, in may experience. What do you think is slow? Maybe it's your computer that is slow? -roger ramzi abboud wrote: Is R file IO slow in general or am I missing something? It takes me 5 minutes to do a load(MYFILE) where MYFILE is a 27 MB Rdata file. Is

Re: [R] R File IO Slow?

2007-03-01 Thread jim holtman
] To: r-help@stat.math.ethz.ch Sent: Thursday, March 1, 2007 12:22:22 PM Subject: [R] R File IO Slow? Is R file IO slow in general or am I missing something? It takes me 5 minutes to do a load(MYFILE) where MYFILE is a 27 MB Rdata file. Is there any way to speed this up? The one idea I have

Re: [R] R File IO Slow?

2007-03-01 Thread Marc Schwartz
On Thu, 2007-03-01 at 09:22 -0800, ramzi abboud wrote: Is R file IO slow in general or am I missing something? It takes me 5 minutes to do a load(MYFILE) where MYFILE is a 27 MB Rdata file. Is there any way to speed this up? The one idea I have is having R call a C or Perl routine,

Re: [R] R File IO Slow?

2007-03-01 Thread Ranjan Maitra
I decided to run an experiment: just reading in a file which is 78MB in binary format (of ints). It takes less than 30s using a laptop with 512 MB RAM, 2.3 GHz Intel-4 single processor. At that point, I did not notice that Ramzi was talking about a .RData file. For huge files, I usually do not