search for: efficent

The code below create an nxn upper triangular matrix of one's. I'm stuck on finding a more efficient vectorized way - Thanks. --Dale n <- 9 data <- matrix(data=NA, nrow=n, ncol=n) data for (i in 1:n) { data[,i] <- c(rep(1,i), rep(0,n-i)) } data

...bunch of these addresses into an array, and then select one to branch to. Eg. like a switch statement. (i'm thinking also of GCC's computed goto's) I'm finding the code generated by an llvm switch is a big bunch of compares and jump instructions, which i'm not sure is the most efficent way of doing this. GCC generates jump tables for big switches. Simon.

I've ported somebody else's rather cumbersome Matlab model to R for colleagues that want a free build of the model with the same type of I/O. The Matlab model reads a text file with the initial parameters specified as: C:\Data\Carluc\Rport>more Params.R # Number of years to simulate nYears = 50; # Initial year for graphing purposes year0 = 1970; # NPP/GPP ratio (cpp0 unitless) fnr =

Is there a good way to stop and restart the samba server... for example to have it re read the smb.conf, without rebooting the actual pc? if I should kill a process should I kill them all ??? if so is there an efficent way to do this? thanks in advance Robert

...2); The problem is that read.table closes the connection object, I assumed that it would not close the connection, and instead contines where it last stopped. Since the data is nearly a simple table I though read.table could work rather than using scan directly. Any suggestions to read this file efficently are welcome (the file can contain several thousand record and each record can contain several thousand rows). thanks a lot for your help, +kind regards, Arne [[alternative HTML version deleted]]

I have noticed that when I try to connect multiple G729 VoIP devices into a MeetMe conference that I can only add up to the number of G729 licenses I have. Now I would think that because all the devices are G729, this wouldn't be the case and the only license that would ever be used would be if a non G729 device or Zap channel was a part of the Meetme conference. This is apparently note the

...we've gotten away with tar'ing things up or using something like webfs (or Python -m SimpleHTTPServer) on one end and 'wget -r http://remote-server' on the the other. This can be anything from log files, to photoshop files, etc... What I'm looking for though is something more efficent without creating extrenuous files like 'index.html' (when using wget -r) or the like. I'm aware of rsync having two modes. One using "daemon" mode where rsync provides for file transfers using it's own transport layer; and the paths have been predefined in either /etc/rs...

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

Is there a functiaon to take the IP address of person who submits to a form example: <input id="user_ip" name="user[ip]" type="hidden" value="<%= some_ip_call %>" /> -- Posted via http://www.ruby-forum.com/.

...) #### compute mean finc within fid groups tot_finc <- aggregate(cbind(fid,finc),list(fid),FUN=mean) when I try to do it this way I get an error message telling me that enough memory cannot be allocated ( I am using R 2.7.1 on Windows XP with 2 GB of Memory). I figure that there must be a more efficent way to go about doing this. Please suggest. I would typically do this kind of task in a database and use SQL to push the data around. I know RODBC allows you to write SQL to query external DBs. Is there any mechanisim that allows you to write SQL queies against datasets internal to R e.g. in the c...

...#39;'end_date'') and sort them (by ''end_date''). ''end_date'' is a valid column in my "posts" table. Here''s the code I have already: @posts = Post.find_by_contents(params[:query]) params[:query] comes from a form. I am replacing less efficent code that has the restrictions working : @posts = Post.find(:all, :conditions => [ ''(title LIKE :search_query OR body LIKE :search_query) AND end_date >= :enddate'', {:search_query => ''%'' + params[:query] + ''...

Is there a better or more efficent approach than this without the use of t() ? > (m <- matrix(1:40, ncol=4)) [,1] [,2] [,3] [,4] [1,] 1 11 21 31 [2,] 2 12 22 32 [3,] 3 13 23 33 [4,] 4 14 24 34 [5,] 5 15 25 35 [6,] 6 16 26 36 [7,] 7 17 27 37 [8,] 8 18...

Hi there! I'm quite happily using rsync. There is only one case where I couldn't figure out how to use it efficently: I sometimes have large compressed files (either .tar.gz or .zip) that I need to keep synchronized. The exploded files are usually not available on the machines i use for rsync (to keep everything unpacked would mean wasting a lot of space on the server). The problem is that even if I change slig...

...(i'm thinking also of GCC's computed goto's) llvm-gcc supports gcc's computed goto's. You can see what code it generates. > I'm finding the code generated by an llvm switch > is a big bunch of compares and jump instructions, > which i'm not sure is the most efficent way of > doing this. LLVM does support switch table emission, but only in certain modes. I think it's only supported in non-pic codegen mode. Patches to improve this would be welcome :) -Chris -- http://nondot.org/sabre/ http://llvm.org/

How about: x <- data.frame(matrix(rnorm(1550),c(50,31))) model <- step(lm(x[,1] ~ as.matrix(x[,2:31]))) --Matt -----Original Message----- From: r-help-bounces at stat.math.ethz.ch [mailto:r-help-bounces at stat.math.ethz.ch]On Behalf Of rongguiwong Sent: Monday, September 20, 2004 20:52 PM To: r-help at stat.math.ethz.ch Subject: [R] how to take this experiment with R? This message uses

...e sums by work category. I have gone at it with a brute force "for" loop approach which seems okay as it is a small dataset. It looks a bit inelegant and given all the warnings in the Intro to R, etc, about using loops I wondered if anyone could suggest something a bit simpler or more efficent? Example: cat1 <- c( 1,1,6,1,1,5) cat2 <- c( 1,2,3,4,5,6) cat3 <- c( 5,4,6,7,8,8) cat4 <- c( 1,2,1,2,1,2) years <- c( 'year1', 'year2', 'year3', 'year3', 'year1', 'year1') id <- c('a','a','b','c',&...

...en the different families of processor.. and so you should be able to achieve a comparible performance using a Celeron processor at a far cheaper price.. The fault in my thinking may come in the voice compression/decompression and transcoding area where a Celeron may not be able to buffer the data efficently in which case a P4 would probably be all that is required.. I don't see the need to go to a Xeon.. based on the large price difference for a Xeon system vs a P4/Celeron system.. What are your thoughts?? -- ______________________________________________ http://www.linuxmail.org/ Now with e-...

...) #### compute mean finc within fid groups tot_finc <- aggregate(cbind(fid,finc),list(fid),FUN=mean) when I try to do it this way I get an error message telling me that enough memory cannot be allocated ( I am using R 2.7.1 on Windows XP with 2 GB of Memory). I figure that there must be a more efficent way to go about doing this. Please suggest. I would typically do this kind of task in a database and use SQL to push the data around. I know RODBC allows you to write SQL to query external DBs. Is there any mechanisim that allows you to write SQL queies against datasets internal to R e.g. in the c...

...= "B" & x$status =="D",]$X2, x[x$site == "B" & x $status =="L",]$X2) t.test(x[x$site == "C" & x$status =="D",]$X2, x[x$site == "C" & x $status =="L",]$X2) etc... I know I must be able to do this more efficently using a loop and one of the apply functions, e.g. something like this: k=length(levels(x$site)) for (i in 1:k) { site<-levels(x$site)[i] x1<-x[x$site == site, ] results[i]<-apply(x1, 2, function(x1) {t.test(x1[x1$status == "D",], x1[x1$status == "L",])}) results...

* lists at lazygranch.com <lists at lazygranch.com>: > So does mutt suck or not? If you work with vi and like it, chances are you will also like mutt. Personally I *love* mutt! No extra fat. Always on the spot. It is "liberal in what it receives and conservative in how it sends". Since it is command line program, I can run it almost everywhere. It supports local mailboxes,