Hello I have some problems to read large data file with R. can someone tell me why running R --visze=30M --nsize=2000k uses in fact 63M? thank you meriema -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
R and memory
3 messages · Meriema Belaidouni, Brian Ripley, Thomas Lumley
On Wed, 10 Jan 2001, Meriema Belaidouni wrote:
Hello I have some problems to read large data file with R.
We need to know more to be able to help with that.
can someone tell me why running R --visze=30M --nsize=2000k uses in fact 63M?
Let me try. That allocates (modulo a typo) 30Mb of heap and 2 million cons cells. I will assume you are using a 32-bit system and a version of R prior to 1.2.0. Then a cons cell is 20 bytes, and so the total space is 38.2Mb for those. So (and I tried it) the workspace is 68.2Mb. However, depending on your system, not all of that may appear under say top, and in any case the R process needs another 4Mb or so for code. The current version of R may well behave differently, and we do suggest that you do not use those flags any more.
Brian D. Ripley, ripley at stats.ox.ac.uk Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272860 (secr) Oxford OX1 3TG, UK Fax: +44 1865 272595 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
On Wed, 10 Jan 2001, Meriema Belaidouni wrote:
Hello I have some problems to read large data file with R. can someone tell me why running R --visze=30M --nsize=2000k uses in fact 63M?
It potentially uses even more than that. You have asked for 30Mb of vector heap and 2 million cons cells. Each cons cell takes 32 bytes (I think), so this would be 90Mb plus whatever the R program itself uses. -thomas Thomas Lumley Asst. Professor, Biostatistics tlumley at u.washington.edu University of Washington, Seattle -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._