Hi Jim, Thanks a lot! I am currently running it on my laptop but without any success. I could upload it to a server which is with 8Gb memory and it might be better to go from there.
Actually, I could have the whole file splitted in two parts, one with 2nd column to 95th column, the other one with the rest of columns. However, I need all rows for the two parts. The file is in txt format and around 480Mb, very large though. Yes, it is of numeric values. I appreciate! Allen On Nov 9, 2007 11:46 PM, jim holtman <[EMAIL PROTECTED]> wrote: > If they are all numeric, you can use 'scan' to read them in. With > that amount of data, you will need almost 1GB to contain the single > object. If you want to do any processing, you will probably need a > machine with at least 3-4GB of physical memory, preferrably a 64-bit > version of R. What type of computer are you using? Do you really > need all the data in at once, or can you process it in smaller batches > (e.g., 20,000 rows at a time)? So a little more detail on what you > actually want to do with the data would be useful, since it does > create a very large object. BTW how large is the file you are reading > and what is its format? Have you considered a database with this > amount of data? > > > On Nov 9, 2007 11:39 PM, affy snp <[EMAIL PROTECTED]> wrote: > > Dear list, > > > > I need to read in a big table with 487 columns and 238,305 rows (row names > > and column names are supplied). Is there a code to read in the table in > > a fast way? I tried the read.table() but it seems that it takes forever :( > > > > Thanks a lot! > > > > Best, > > Allen > > > > ______________________________________________ > > 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. > > > > > > -- > Jim Holtman > Cincinnati, OH > +1 513 646 9390 > > What is the problem you are trying to solve? > ______________________________________________ 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.
