similar to: Using packages built in linux in windows

Is there a c++ equivalent switch statement in R? -- Rajesh.J [[alternative HTML version deleted]]

Stupid question, but its been a long night. If I have a long vector how can I turn it into a list of the same length x<-rep(seq(1,100,by=1),each=10) [[alternative HTML version deleted]]

I am trying to get documentation about the random number generator used in "sample". The help for sample does not mention it. Can anyone point me in the right direction. Thanks [[alternative HTML version deleted]]

REXP has an asBytes() method. Will this capture the output of an R plot function if a proper graphics device is used? It appears R insists on sending plot output to a file. Kind of strange since it insists on loading all your data into memory before it can do anything. If so then does anyone know what this would be? I prefer png or jpeg. Example: c is an RConnection REXP r =

Hi folks, Maybe that is not the best place to ask, but I 'd like some of you could help me... I'm using jri to run R commands under Java, by its examples I can eval expressions, returning single values or vectors to my Java variables. But, I would like to know how to assign the values of a Java vector (like: double x[] = {1.7 , 2.8 , 3.4}; ) to a R variable, so I can eval a function

Hi, I need to check if a string "<rh>a,b,c,d<rh>" is delimited by two "<rh>" 's as efficiently as possible(I need to do this a lot of times) and return TRUE. Can someone suggest a good technique? [[alternative HTML version deleted]]

Hello All, A simple question. I get some return from the R in my C++ program (via Rcpp package). The result come, as SEXP and it should be a simple numeric variable. How to convert it to double? The code, what i use: stringstream ss; ss << "p <- predict(fit_ar11, n.ahead = 2, doplot=FALSE);" << "p$pred[1]"; SEXP ans; int iRet =

Hello, I get a value which stores a relative file name. (I get it from another function, which I don't want to change.) e.g. > fileName <- "../data/2010-08.csv"; Is it possible to get the absolute file path out of this value? (e.g. /home/sebastian/documents/data/2010-08.csv) Kind regards, Sebastian

Dear list, I wish to use a specific driver to process an sweave document in the inst/doc directory of a package. Specifically, I would like to use either cacheSweave or pgfSweave to speed up the creation of the vignette which requires lengthy computations. The same request would also apply to the highlight driver, to provide syntax highlighting of R chunks. In "writing R extensions" I

Dear list, I wish to use a specific driver to process an sweave document in the inst/doc directory of a package. Specifically, I would like to use either cacheSweave or pgfSweave to speed up the creation of the vignette which requires lengthy computations. The same request would also apply to the highlight driver, to provide syntax highlighting of R chunks. In "writing R extensions" I

Dear all, I have an R script that uses Rcpp, and I have been trying to parallelize it using mclapply (I tried with the multicore and the parallel library) Sometimes (not always, interestingly), the CPU use for each core drops, usually so that the total over all cores reaches 100%, i.e., as fast as if using just one single core fully. I tried my code directly from within emacs, and also using a

Jeff, I wanted to let you know that your function is faster than generating the directional circular permutations and weeding. Here is the time for n = 10. I compared with just doing the permutations, there is no point in proceeding further with the weeding since it is slower at the start itself. system.time(directionless_circular_permutations(10)) user system elapsed 1.576 0.000

Thanks! Yes, however, this seems a bit wasteful. Just wondering if there are other, more efficient options possible. Best wishes, Ranjan On Thu, 29 Mar 2018 22:20:19 -0400 Boris Steipe <boris.steipe at utoronto.ca> wrote: > If one is equal to the reverse of another, keep only one of the pair. > > B. > > > > > On Mar 29, 2018, at 9:48 PM, Ranjan Maitra

New function below is a bit faster due to more efficent memory handling. for-loop FTW! directionless_circular_permutations2 <- function( n ) { n1 <- n - 1L v <- seq.int( n1 ) ix <- combinations( n1, 2L ) jx <- permutations( n-3L, n-3L ) jxrows <- nrow( jx ) jxoffsets <- seq.int( jxrows ) result <- matrix( n, nrow = factorial( n1 )/2L, ncol = n ) k

I don't know if this is more efficient than enumerating with distinct directions and weeding... it seems kind of heavyweight to me: ####### library(gtools) directionless_circular_permutations <- function( n ) { v <- seq.int( n-1 ) ix <- combinations( n-1, 2 ) jx <- permutations( n-3, n-3 ) x <- lapply( seq.int( nrow( ix ) ) , function( i ) {

Hi guys when i''m doing bundle install i got this type of error whats this? please help me. rajesh@rajesh:~/workspace/Cybermedia_Test$ bundle install Fetching gem metadata from http://rubygems.org/.Unfortunately, a fatal error has occurred. Please see the Bundler troubleshooting documentation at http://bit.ly/bundler-issues. Thanks!

Simple question: is there a way to compile R scripts to native code?  If not is there anything else that might improve speed?  I'm not even sure that R compiles internally to byte code or not.  I assume it does since all modern languages seem to do this.  Maybe there's a JIT compiler?  Yes, I have searched Google and get lots of stuff that's seems confusing.  I just want to know what

Hi, I am a newbie to Rcpp packages, and got problems in having basic set-ups for Rcpp under windows xp. Here is the list I have done. 1) installed Rtools and have no problem in compiling .c file. 2) installed Rcpp packages 3) set enviroment variables 'path' to make C:\Program Files\R\R-2.12.0\library\Rcpp\include\ searchable The sample C++ code I used is from the original website:

Hi, I'm trying to install Sciviews-K on Linux Ubuntu 9.10 (karmic) but I'm not able to establish the connection between Komodo and R. Here;s the error I get, plus some diagnostic info: R version 2.9.2 (2009-08-24) R is SciViews ready! Error in get(name, envir = asNamespace(pkg), inherits = FALSE) :   object 'httpdPort' not found > ls() [1] "svStart" > Sys.info()

Is there a way to identify (for subsequent replacement) which rows in a matrix are comprised entirely of *integers*? I have a large set of *nx3 *matrices where each row either consists of a set of 3 integers or a set of 3 real numbers. A given matrix might looks something like this: [ ,1] [ ,2] [ ,3] [1, ] 121.0000 -98.0000 276.0000 [2,