similar to: There was a problem by the use of snow.

Dear All, I have written the following programs to find a non-singular (10*10) covariance matrix. Here is the program: nitems <- 10 x <- array(rnorm(5*nitems,3,3), c(5,nitems)) sigma <- t(x)%*%x inverse <- try(solve(sigma), TRUE) while(inherits(inverse, "try-error")) { x <- array(rnorm(5*nitems,3,3), c(5,nitems)) sigma <- t(x)%*%x inverse <-

Hello, Does anyone knows how to deal with zero subscript in R. I have this code: for (i in 1:nitems){ + for (j in 1:ncat-1) { + draw<-matrix(rnorm(nitems*(ncat-1),seed1,seed2),nitems,(ncat-1)) + d<-( sigma_d*draw ) + mu_d + draw<-matrix(rtnorm((nitems*(ncat-1)),mean = seed1, sd = seed2, lower = .1, upper = 1.5),nitems,(ncat-1)) +

I'm writing R code to calculate Hierarchical Social Entropy, a diversity index that Tucker Balch proposed. One article on this was published in Autonomous Robots in 2000. You can find that and others through his web page at Georgia Tech. http://www.cc.gatech.edu/~tucker/index2.html While I work on this, I realize (again) that I'm a C programmer masquerading in R, and its really

Version 3.1.0 of R has imposed a very small data limit on writing to fifos on Linux. Consider the following R code (Assumes that "ff" is a fifo in the R process's current directory): con <- fifo("ff", "a+b") writeBin(raw(12501), con) In R 3.0.3, this returns without error and the data is available on the fifo. In R 3.1.0, however, this returns the following

Is there a 'proper' way of checking if cluster is active. For example, I create a cluster called .PBcluster > str(.PBcluster) List of 4 $ :List of 3 ..$ con :Classes 'sockconn', 'connection' atomic [1:1] 3 .. .. ..- attr(*, "conn_id")=<externalptr> ..$ host: chr "localhost" ..$ rank: int 1 ..- attr(*, "class")= chr

Here's an update of my rawConnection() implementation. In addition to providing a raw version of textConnection(), this fixes two existing issues with textConnection(): one is that the current textConnection() implementation carries around unprotected SEXP pointers, the other is a performance problem due to prolific copying of the output buffer as output is accumulated line by line. This new

Dear R developers, The slow performance of serializing to a raw vector on Windows is an issue that has appeared in this list before. It appears to be due to the frequent use of realloc from the resize_buffer method in serialize.c. I suggest a more granular, but still incremental, re-allocation of memory. For example change near the top of resize_buffer to: R_size_t newsize = needed + 65536 -

I've just implemented a generalization of R's text connections, to also support reading/writing raw binary data. There is very little new code to speak of. For input connections, I wrote code to populate the old text connection buffer from a raw vector, and provided a new raw_read() method. For output connections, I wrote a raw_write() to append to a raw vector. On input, the mode

Dear R users, I wish to utilise processed and saved objects as arguments of a function. Specifically, I have created objects using *"assign"* & *"paste"* functions with an incremental index i, the names of the objects are: fund1, fund2, fund3,....., fund80,..... (where the numerical value increments according to the index i & class of these objects are

Hello, I'm trying to install R on a linux machine running Red Hat 8. I ran ./configure make and get the following error. I've installed several versions of R (2.2.1 most recently) on this machine and haven't had any problems until now. I wondered if the outdated compiler (gcc version 3.2) was the problem and attempted to install my own, more recent version. I tried gcc versions 4.1.0

Dear R Gurus, for some purpose i have to use a socket connection, where i have to read and write both text and binary data (each binary data package will be preceeded by a header line). When experimenting, i encountered some problems (with R-2.0.1 under different Linuxes (SuSE and Gentoo)). Since the default mode for socket connections is non-blocking, i first tried socketSelect() in order to

I got several errors while installing R version 2.3.0 ======== One error while running 'make': make[4]: Binnengaan van map `/home/peter/tmp/R-2.3.0/src/modules/internet' gcc -I. -I../../../src/include -I../../../src/include -I/usr/local/include -DHAVE_CONFIG_H -fpic -g -O2 -c Rsock.c -o Rsock.o gcc -I. -I../../../src/include -I../../../src/include -I/usr/local/include

Hello I perform the following command $ echo "Text to clipboard" | xlip -i -selection clipboard $ xclip -o -selection clipboard Text to clipboard I can also paste the text in mozilla by pressing shift-insert. I cannot paste it into application running under Wine. I have to invoke ctrl-insert explicitly on selected text in order to be able to paste it into this wine application. Do

Hello, I have created a .dll file using G77 and MinGW on my PC (Windows 2000). After using dyn.load to bring it into R2.0.1, I then call the .dll through the function ccprox shown below. It returns the correct values. If I run it a second time though it returns different values, so it seems something is being placed oddly in memory. If I unload and reload the .dll it works again the first

Greetings, I couldn't find any existing function that would allow me to scan a matrix and eliminate invariant rows and columns so I have started to write a simple routine from scratch. The following code fails because the array index goes out of bounds for obvious reasons you'll see shortly. Start with some data x <- read.table("myex.dat",header=T) x v1 v2 v3 v4 v5 id 1

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Hi, I'm trying to cross-compile R to javascript so that it can run in a web-browser. Take as long as you need to stop laughing. So, as I was saying - I want to try and get a build of R running in the browser. [If you're not familiar with it already, you might enjoy looking at emscripten.org. It's a remarkably capable tool for translating LLVM bitcode to javascript. Check out some of

A solution is to have parallel:::.slaveRSOCK() attempt to connect multiple times before failing, e.g. makeSOCKmaster <- function(master, port, timeout, useXDR, maxTries = 10L, interval = 1.0) { port <- as.integer(port) for (i in seq_len(maxTries)) { con <- tryCatch({ socketConnection(master, port = port, blocking = TRUE,

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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1//EN" "http://www.w3.org/TR/xhtml11/DTD/xhtml11.dtd"> <html xmlns="http://www.w3.org/1999/xhtml"> <head><meta http-equiv="content-type" content="text/html; charset=utf-8" /><style type="text/css"><!-- #msg dl { border: 1px #006 solid; background: #369; padding: