I assume that you mean a file sie of 566MB? Is this the size of the text file? If so how is the text file structured? What type of system are you running? How much physical memory do you have? What kind of processing do you want to do with the data? Do you have to have all of it at once? For example, if this is a text file with numeric data (assume 7 digits per value), then you would need about 566MB to store a single copy of the object. If you want to process it, I would suggest at least 4X your largest object in physical memory. You could also consider using a data base to store and access the data.
You need to provide a little more information to get a suggestion. On Tue, Mar 31, 2009 at 6:13 AM, Rangasamy, Shanthi <srangas...@ceit.es> wrote: > Dear Developers, > > I want to import the large size (566.639 kb) of data in R. I will try through > txt, excel,xml,in this way I successes only small amount of data .but I > want to load or import large amount of data in R .so please give me > Suggestion > > Shanthi Rangasamy > Ph. D. Student > Electronics and Communications Department > CEIT - IK4 Research Alliance > Pş. Manuel Lardizábal, 15 > 20.018 Donostia-San Sebastián > SPAIN > Tel. +34 943 212 800 (Ext. 2804) > Fax: +34 943 213 076 > http://www.ceit.es/ > > > [[alternative HTML version deleted]] > > > ______________________________________________ > 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 that 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.