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I started to look at ways to improve times of certain very parallel tasks and thought that foreach should be a valid candidate to do the job. So, i opened foreach tutorial by Steve Weston and started timing examples from it. First example from tutorial is  >system.time(for(i in 1:100000) sqrt(i))    user  system elapsed     0.06    0.00    0.06  > system.time(foreach(i=1:100000) %do%

Hi, i have 8.10 Ubuntu, R version 2.7.1 on 64 bit pc. I install packages fine, but when i try to do install.packages("debug") i get error message package 'debug' is not available Does this package exist for Ubuntu? -- View this message in context: http://n4.nabble.com/package-debug-not-available-in-Ubuntu-tp1597844p1597844.html Sent from the R help mailing list archive at

I needed to clean someone else code and run it through tidy.source. It encountered a number of hangups which after some experimentation lead me to suspect that the culprit is # symbol when it is a part of literal string. For example if i copy the following to the clipboard confuse.tidy <-    function() {   txt <- 'abra # cadabra' } and run with default arguments >tidy.source()

I took a look at Hadley's lubridate which seems a very neat package, but i am having a small problem with  concatenating lubridates to build vectors of it. Namely when function c( )  is applied to lubridate seems to change time to a local timezone in this particular case changing the date to previous one.  > d<-ymd('20111231') > d [1] "2011-12-31 UTC" > c(d) [1]

Could someone give me an idea on how to do rolling ranking, i.e. rank in the moving window of last 100 numbers in a long vector? I tried naive solution like roll.rank<-function(v, len){ r<-numeric(length(v)-len+1) for(i in len:length(v)) r[i-len+1]<-rank(v[(i-len+1):i])[len] r } However, it turns out pretty slow even on my rather able Linux box. For

I have pretty big data sizes, like matrices of .5 to 1.5GB so once i need to juggle several of them i am in need of disk cache. I am trying to use bigmemory package but getting problems that are hard to understand. I am getting seg faults and machine just hanging. I work by the way on Red Hat Linux, 64 bit R version 10. Simplest problem is just saving matrices. When i do something like

I am having a puzzling problem with bloomberg connection. When i  run from R prompt some code that has .... library(Rbbg) conn <- blpConnect(throw.ticker.errors = FALSE) print("connected") ... I establish connection every time and then proceed to get data when i run this code from R prompt. However, when i run this from a batch script, i get the following error output from Rbbg:

...ded to waive any right or privilege. If you have received this message in error, please delete it from your computer and contact the sender immediately. [[alternative HTML version deleted]] ------------------------------ Message: 116 Date: Tue, 4 May 2010 12:00:44 -0700 (PDT) From: zerdna <azege at yahoo.com> To: r-help at r-project.org Subject: [R] masking of objects between mtrace() and getYahooData() Message-ID: <1272999644936-2126151.post at n4.nabble.com> Content-Type: text/plain; charset=us-ascii I am using getYahooData from TTR to get daily data. When i do it standalone...

I am using getYahooData from TTR to get daily data. When i do it standalone, it is fine. It also works fine inside my code. However, when i run code inside mtrace(), i always get the following error: Error in xts(cbind(adj[[1]], adj[[2]]), index(obj)): order.by requires an appropriate time-based object After a lot of hand wringing, it looks to me that it happens because index in xts masks

I have R script that i need to run in cron. Either R libraries or some .so libraries that they depend on don't get loaded correctly. Here is an example. I have a file, call it tmp.R tmp.R ========================= R --slave --args $0 $* <<EOF cmarg = commandArgs()[5] library(R.utils) b<-intToBin(cmarg) print(paste( "argument is ", cmarg, sep=""))

After installing RJDBC on RedHat Linux and using it successfully with mySQL JDBC driver i am trying to use it with Oracle database. I use the JDBC driver that works fine elsewhere (use it in DBVizualizer). However, when i try to load the driver, drv<-JDBC("oracle.jdbc.driver.OracleDriver", "/home/az05625/DBdrivers/ojdbc6.jar", identifier.quote="`") it gives me

Hi all, i am trying to compile a test, calling from C code R Lapack shared libraries. In particular, i am calling simple LAPACK driver dposv for solving linear equation system A*x=B with positive definite A. My code looks like the following in solve.c ========================== #include<stdio.h> #include <R_ext/BLAS.h> #include <R_ext/Lapack.h> int main(){

Hi, everyone. I am using a fair amount of closures in my code. Problem i am experiencing is i cannot figure out how to mtrace functions defined within a function. There must be some way to name such function for mtrace to see it and let me step into it. For example, say i have code mymodel<-function(){ data<-numeric(0) build<-function(){ data<<-1 } m<-list()

I am using htmlParse from XML library on a paricular website. Sometimes code fails, sometimes it works, most of the time id doesn't and i cannot see why. The file i am trying to parse is  http://www.londonstockexchange.com/exchange/prices-and-markets/international-markets/indices/home/sp-500.html?page=0 Sometimes the following code works n<-readHTMLTable(htmlParse(url)) But most of the

Hi all. I started looking at Rcpp, which looks pretty great, actually. At the moment just trying to compile a module to get a feel how it all works without fully understanding how all the pieces fit together. Basically, i took the first example from Rcpp modules vignette: fun.cpp ======================== #include <Rcpp.h> #include <math.h> using namespace Rcpp; double