similar to: Problem with hasArg and the ... argument (PR#7027)

Hello! I have some problems using Rcmd, bacause I get errors I do not understand. I will write down what I did. Perhaps you can help me? I have a small would-be package called "globaltest", containing only the files DESCRIPTION INDEX R/globaltest.R man/globaltest.Rd I say: C:\>Rcmd check C:/Goeman/globaltest In the output it first complains that 'sh', 'make',

Full_Name: Jelle Goeman Version: 2.0.0 OS: windows Submission from: (NULL) (145.88.209.33) I get a strange error: > is.vector(1:10) Error: recursive default argument reference What's recursive about is.vector? Kind regards, Jelle Goeman My R: platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 2

Please do give reproducible example. The code you gave, which you claimed `works correctly' doesn't: > SDT.Optim <- function(crit = NULL, Hess = F) + { + q <- length(par); x <- data + if(hasArg(crit)) + cat("\n Crit present\n") + else +

Hello, (This is follow up from this thread: http://www.nabble.com/execution-time-of-.packages-td22304833.html but with a different focus) I am often confused by the result of the profiler, when a loop is involved. Consider these two scripts: script1: Rprof( ) x <- numeric( ) for( i in 1:10000){ x <- c( x, rnorm(10) ) } Rprof( NULL ) print( summaryRprof( ) ) script2:

Dear list, I'm running an R script which first line is: #!/usr/bin/Rscript While running that script from the system console (in Red Hat Enterprise Linux 6) I got the following error: Error in plot2(x = sim, y = obs, plot.type = "single", main = paste("Daily", : could not find function "hasArg" Calls: plot_results -> plot_out -> ggof -> plot2

Full_Name: Jelle Goeman Version: 2.4.0 OS: windows XP Submission from: (NULL) (145.88.209.33) Hi, I like to use optimize() to optimize functions whose evaluation is costly in terms of computation time. The Brent algorithm which is implemented in optimize was designed to optimize a function with as few function evaluations as possible. Therefore it bothers me that optimize() always evaluates

I am having some difficulties using dynamically loaded C functions on a Sparc 10 with R compiled using cc (both R-0.49 and R-0.50). I get sporadic errors with the error message: Error: character variables must be duplicated in .C/.Fortran, with C functions which pass character variables. my C functions look like: anyfunc(char **filename, other variables ) This error message appears about 25%

I am having some difficulties using dynamically loaded C functions on a Sparc 10 with R compiled using cc (both R-0.49 and R-0.50). I get sporadic errors with the error message: Error: character variables must be duplicated in .C/.Fortran, with C functions which pass character variables. my C functions look like: anyfunc(char **filename, other variables ) This error message appears about 25%

Hi Consider the following example: f <- function(expr) g(expr) g <- function(expr) { ? h(expr) } h <- function(expr) { ? expr # evaluation happens here ? i(expr) } i <- function(expr) { ? expr # already evaluated, no costs here ? invisible() } rprof <- tempfile() Rprof(rprof) f(replicate(1e2, sample.int(1e4))) Rprof(NULL) cat(readLines(rprof), sep = "\n") #>

I noticed this oddity about R profiling and setMethod. First, I "test out" Rprof. > require(methods) Loading required package: methods [1] TRUE > > Rprof("test.out") > data.frame("a") X.a. 1 a > Rprof(NULL) So far, so good. Next, I define myClass. > setClass("myClass", representation(mySlot = "numeric")) [1]

I'm picking up this 5-year old thread. 1. About the four memory allocations without a stacktrace I think the four memory allocations without a stacktrace reported by Rprofmem(): > Rprofmem(); x <- raw(2000); Rprofmem("") > cat(readLines("Rprofmem.out", n=5, warn=FALSE), sep="\n") 192 :360 :360 :1064 :2040 :"raw" are due to some

Hi R-devels, latetely I reported having problems with understanding warnings issued by a devel version of R CMD check, which Brian Ripley in his reply https://stat.ethz.ch/pipermail/r-devel/2008-August/050493.html correctly attributed to my using an outdated version (July 29) --- you really have to be quick with updating these days! Having switched to a more recent version, R CMD check

Hi all, Is there a way to modify the optional arguments (...) passed to a function, so that these can be passed in modified form to a subsequent function call? I checked "Programming with Data" but could not find a solution there. What I'd like is something along these lines: test <- function(x,y,...) { if(!hasArg(xlab)) { ___add xlab to ...___ } if(hasArg(xlab)) {

The following R code using different packages gives the same results for a simple logistic regression without regularization, but different results with regularization. This may just be a matter of different scaling of the regularization parameters, but if anyone familiar with these packages has insight into why the results differ, I'd appreciate hearing about it. I'm new to

Dear R users, I want to retrieve "..." argument values within a function. Here is a small exmaple: myfunc <- function(x, ...) { if (hasArg(ylim)) a <- ylim plot(x, ...) } x <- rnorm(100) myfunc(x, ylim=c(-0.5, 0.5)) Error in myfunc(x, ylim = c(-0.5, 0.5)) : Object "ylim" not found > I need to retrieve values of "ylim" (if it is defined

I want to add an argument if it is not present. Following the Green Book, p. 337: test <- function(x, ...){ dots <- list(...) if (!hasArg(from)) from <- 0 else from <- dots$from curve(x, from=from, ...) } > test(sin) > test(sin, from=4) Error in curve(x, from = from, ...) : formal argument "from" matched by multiple actual arguments The FAQ says, in

Dear R developers, When building/checking my package (in R 2.6.1 under windows) I run into some messages that I do not completely understand and that do not give me precise enough leads to pinpoint where the error in my package is. I would be very grateful for any suggestions. Did anyone else encounter the same problem before? When building or installing the package, I get the message (no error

Hi All, I posted this on the bioconductor list and didn't get a response there, so I'm hoping someone here can help. I don't know a heck of a lot about R, so I apologize if this seems like a trivial issue. This error comes up when trying to install the bioconductor globaltest package. Any clues? Thanks! Rusty -----Original Message----- From: bioconductor-bounces at r-project.org

Hi, Warnings issued at installation time are not reported by 'R CMD check'. Some of them are really important and telling something very useful to the developer. See for example this warning: http://bioconductor.org/checkResults/2.9/bioc-LATEST/globaltest/wilson2-checksrc.html Actually, there is no formal warning reported by 'R CMD check' for this package but if you scroll

I believe that LLD is not supposed to call exit on success when you call lld::coff::link. >From downstream fork of LLD: https://github.com/zig-lang/zig/commit/41da9fdb69065082f57c604b12eb02ca166cb18d diff --git a/lld/COFF/Driver.cpp b/lld/COFF/Driver.cpp index 854c3e69098..8b17f039870 100644 --- a/lld/COFF/Driver.cpp +++ b/lld/COFF/Driver.cpp @@ -1030,7 +1030,7 @@ void