similar to: suppressing stderr output from system() calls

Dear list, (this is a follow up from a previous query) Why does R CMD INSTALL write most of its messages to stderr? If it wrote to stdout, then we could capture its output within an R session when calling sink("stdout.txt", type="output") install.packages("MASS", type="source") sink() As it stands, the stderr messages can't be captured via

Dear list, I'm hoping the R guru's can help with an error i've been getting for at least a year during active package development. I have a package loaded & spot a documentation bug, so I: edit the Rd file (or in the roxygen header + roxygenize); then R CMD BUILD, R CMD INSTALL then in the same R session, reload the library & lookup a man page, I always get this error: Error

Hi guRus, i'm running R-2.15.1 and the R CMD CHECK output appears to have changed substantially, in that instead of pointing me to the offending functions or files, I get lots of 'call sequence' traces as below. I've been using R CMD CHECK for years & never seen anything like this before. This is on a pretty fresh OSX 10.8 Mountain Lion installation, where I installed R from

Dear list, I've noticed a width/height scaling bug in multi-panel plots when you change the active plot using par mfg The underlying par setting that maps the full plot width (or height) to the numerical axis labels does not get updated when you change plots with par(mfg=...). Thus plotting a point at c(10,10) in the first plot will only be in the correct place IF the most recently

I'm using the function gee from the library(gee) gee(Y~X,id=clust.id,corstr="exchangeable",b=tmc$coef,family=binomial(link=logit),silent=T) Every time it runs, it dutifully prints out Beginning Cgee S-function, @(#) geeformula.q 4.13 98/01/27 user's initial regression estimate [,1] [1,] -4.5278335 [2,] -0.2737999 [3,] -0.9528306 [4,] 0.9393861 [5,]

I am the maintainer of a Bioconductor package (affylmGUI) which uses tcltk. It freezes inconsistently on MS Windows, but not Mac or Unix. see details below. After considerable testing I have reduced the problem from a few thousand lines of code to 30 lines! If you paste the following lines of code into an R window: testGUI <- function(){ require(tcltk) MainWindow <-

Hello, I have a minimal example that shows a problem I'm having with parallel processing. library(parallel) mcmapply(function(x, y) { print("Running") Sys.sleep(10) }, as.list(1:10), as.list(10:1), mc.cores = 16, SIMPLIFY = FALSE) I see "Running" printed once every ten seconds. I read the documentation for mcmapply, but I don't understand why it wouldn't

Hi all Observe: x <- c(1,2) y <- c(1,-1) phi <- 1 p <- 2 par( mfrow=c(1,2)) plot(x , y, main=bquote( paste( p==.(p)," and ",phi==.(phi)) ) ) plot(y ~ x, main=bquote( paste( p==.(p)," and ",phi==.(phi)) ) ) par( mfrow=c(1,2)) On my system (details below), the first plot is correct (in my understanding), and produces a title reading "p=2 and phi=1"

The documentation states : An alternative parametrization (often used in ecology) is by the mean ?mu?, and ?size?, the dispersion parameter. However, this fails : > rnbinom(10, mu = 100, size = 0) [1] NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN Warning message: In rnbinom(10, mu = 100, size = 0) : NAs produced For dispersion set to 0, it should work like drawing from a Poisson distribution.

I have an S4 object class defined in a Bioconductor package which contains multiple slots, some of which are tibbles, whilst others are vectors. If I call slot(object, name) where 'name' is an slot that contains a vector, everything works as expected. However, when I call slot(object, name) where 'name' is an slot that contains a tibble I get the following warning: Warning

Hi, I'm trying to use Frank Harrell's Design:::ols function to do regression of y (numeric) on the interaction of two factors (x1 and x2), but Lapack throws an error: > library(Design) ... > load(url("http://www.csse.unimelb.edu.au/~gabraham/x")) > ols(y ~ x1 * x2, data=x) Error in chol2inv(fit$qr$qr) : 'size' cannot exceed nrow(x) = 20 > traceback()

Hi all I have just downloaded the sma package from CRAN. On installing on my linux machine, I get the message > library(sma) > data(MouseArray) Warning message: file 'MouseArray.RData' has magic number 'RDX1' Use of save versions prior to 2 is deprecated Hereafter, MouseArray is not found: > MouseArray Error: object "MouseArray" not found We were

Full_Name: Ross Darnell Version: 2.4.1 OS: Linux Submission from: (NULL) (130.102.133.33) rdarnell at pc:~/Data$ ls -al .RData -rwxrwxrwx 2 root root 13551 2006-12-06 08:58 .RData rdarnell at pc:~/Data$ R R version 2.4.1 (2006-12-18) Copyright (C) 2006 The R Foundation for Statistical Computing ISBN 3-900051-07-0 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to

Hello, I have a seemingly simple problem that a tab-delimited file can't be read in. > annoTranscripts <- read.table("matched.txt", sep = '\t', stringsAsFactors = FALSE) Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : line 5933 did not have 12 elements However, all lines do have 12 columns. > lines <-

Bug summary: glm() causes a segfault if the argument 'data' is a data frame with more than 16384 rows. Bug demonstration: -------input --------------- N <- 16400 df <- data.frame(x=runif(N, min=1,max=2),y=rpois(N, 2)) glm(y ~ x, family=poisson, data=df) ------ output --------------- *** caught segfault *** address (nil),

I'm observing the following on different platforms: > parse(text='"\\x7F"') expression("\177") > parse(text='"\\x80"') Error: invalid multibyte string ... > parse(text='"\\xFF"') Error: invalid multibyte string However, cat("\x7F\n\x80\n...\xFF\n") works. Using R --vanilla. SYSTEMS GIVING THE ERROR: >

Hi all I love Sweave; use it all the time. But I recently received a new computer, and ever since I have had a problem I've never seen before. For example, I place the following in my Snw file: <<>>= sms <- read.table("http://www.sci.usq.edu.au/staff/dunn/Datasets/applications/popular/smsspeed.dat", header=TRUE) attach(sms) sms.lm <- lm( Time ~ Age*Phone,

Hello, The e1071 function naiveBayes gives an error when called by do.call, although it doesn't give any error if I call it manually. Browse[1]> trainParams at classifier function (x, ...) UseMethod("naiveBayes") <environment: namespace:e1071> Browse[1]> trained <- do.call(trainParams at classifier, paramList) Error in names(dimnames(tables[[i]])) <- c(Yname,

Hola a todos, Me gustaria leer el texto que se encuentra en http://dl.dropboxusercontent.com/u/9601860/txt.txt He intentado txt <- 'http://dl.dropboxusercontent.com/u/9601860/txt.txt' r <- scan(txt) #Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : # invalid multibyte string at '<ff><fe>M' r <- read.table(txt, header = FALSE)

Hi all I know about producing a minimal example to show my problem. But I'm having trouble producing a minimal example that displays this behaviour, so please bear with me to begin with. Observe: I create an array called model.mat. Some details on this: > str(model.mat) num [1:18, 1:4] -0.170 -0.304 -2.617 2.025 -1.610 ... - attr(*, "dimnames")=List of 2 ..$ : chr