search for: effieciently

...1:nrow(dat)){ m[as.character(dat[i,1]), as.character(dat[i,2])] <- 1 } m[is.na(m)] <- 0 Now I'm trying to prevent the loop, because it take ages for a list of 20000 entries, but I run out of ideas. Should I inflate my list beforehand and how? Can I adress the dataframe fields more effieciently? Thanks for your help. -- Dr. Florian Jansen Geobotany & Nature Conservation Institute of Botany and Landscape Ecology Ernst-Moritz-Arndt-University Grimmer Str. 88 17487 Greifswald Germany +49 (0)3834 86 4147

Hello, I have never used source and I am a R beginner. If I have text file that contains 1,000's of lines of code. Can I use source to bring this code into R and execute the code? Does it run the code one line at a time? Is there a best way to setup source() for maximum effieciency? After reading ?source() would I just do: source("my_Rcode.txt") Thanks, Michael [[alternative HTML

Hello, ? Are there some basic things one can do to speed up a R code? I am new to R and currently going through the following situation. ? I have run a R code on two different machines. I have R 2.12 installed on both. ? Desktop 1 is slightly older and has a dual core processor with 4gigs of RAM. Desktop 2 is newer one and has a xeon processor W3505 with 12gigs of RAM. Both run on Windows 7. ?

Dear Asterisk Community, I would like to offer my most humble apology for the enormous stream of mail messages currently battering at your mailboxes. I was honestly trying to help a worthy cause. Please blame me and only me. Neither Russell nor Josh are at all to blame for this. Nor, for that matter, is Olle. I am the guilty party. Please direct all anger/outrage/hatred/etc. towards

...feel free to absorb it into your own packages in any way you want under any GPL *, BSD, LGPL * licenses. One thing the developers of R might want to consider is to add the very basic optimization that Rigroup uses to base R so that it can better handle very very large datasets (ala BigData) more effieciently. That is assuming there is not some other package that does this that I am unaware of or that a similar capability hasn't already been added to R-3.X since 2006. The primary idea is simple and time worn ... Given a large unsorted vector of data whose elements have been assigned to n groups...

Hi All, I''ve just built an 8 disk zfs storage box, and I''m in the testing phase before I put it into production. I''ve run into some unusual results, and I was hoping the community could offer some suggestions. I''ve bascially made the switch to Solaris on the promises of ZFS alone (yes I''m that excited about it!), so naturally I''m looking