similar to: Diagnosing Crashes on garbage collection

Is there a function to compute the derivative of the probit (qnorm) function in R, or in any of the packages? Thanks, -Andrew [[alternative HTML version deleted]]

Dear R help, What am I doing wrong here? when I don't specify the priors it works just fine but when I specify the priors it breaks.? Does anyone know why and how I can fix it? ---- > N=20000 > ncontrol=ncases=50 > X <- as.matrix(rnorm(N,0,1)) > eta <- -5.3 + X * 1.7 > p <- exp(eta)/(1+exp(eta)) > Y <- rbinom(N,1,p) > controls <- sample(seq_len(N),

I'm having a problem with the error and warning functions. I've tried this on multiple machine so I'm fairly sure it's not machine dependent and I've tried it on the latest versions 2.6.0-2.7.1. Whenever my program gets to an error or warning it crashes the entire program rather than throwing the error like it should. Here are the relevant bits. ... char const * const

Hi, I have been dreaming about a complete R environment on my USB stick for a long time. Now I finally want to realize it but what I am missing is a good, portable editor for R which has tabs and syntax highlighting, can execute code, has bookmarks and a little project file management facility pretty much like Tinn-R has those. I like Tinn-R but it seems like there is only a very old version of

cross-posting announcement to R-Announce, R-devel and R-package-devel. The R Consortium recently announced (https://www.r-consortium.org/news/blogs/2016/08/r-consortium-funds-three-projects-july) support of the R Documentation Task Force. The task force aims to design and implement the next generation documentation system for R. We aim to take the best from the many attempts to improve

On Feb 27, 2009, at 12:56, Mark Shannon wrote: > Gordon Henriksen wrote: > >> The ultimate endgoal is to support schemes with still-lower >> execution overhead. The next step for LLVM GC would be elimination >> of the reload penalty for using GC intrinsics with a copying >> collector. This, again, requires that the code generator perform >> bookkeeping

hi Andrew Many thanks for the suggestion. I gave it a try , but still get the same issue - a fresh Rgui window (just one) opens, with an empty .RData, when I submit a script ( Ctrl & F8 ). I also tried running things as administrator, but it made no difference. Apparently windows 7 is selling like hot buns, so there should be enough market pressure before too long , to encourage the

Gordon Henriksen wrote: > Hi Mark, > > I don't think anyone will dispute that it's easier to hack up a shadow > stack (or plug into a conservative collector) to get up and running > with GC. That is absolutely the route to go if portability trumps > performance. Why? LLVM is all about portability AND performance. > > If you review the mailing list history,

Hi Mark, I don't think anyone will dispute that it's easier to hack up a shadow stack (or plug into a conservative collector) to get up and running with GC. That is absolutely the route to go if portability trumps performance. If you review the mailing list history, I think you'll also find that developers who do care about performance have been disappointed with the impact

Hi David, > Previously, I had been testing with only one routine per test .ll file, but I > thought I'd reached a point where I could test multiple operations at once and > understand the output. The odd part about this is that the likelihood of seeing > the above assertion scales with the number of functions in the .ll file. If I > have one or two functions, I never see it.

Apologies for any obtuseness in the following. We have been working on Version 2.0 of the randomSurvivalForest CRAN package and we're encountering a perplexing 'memory not mapped' segfault that we believe is "influenced" by GC. We essentially have two R functions, rsf.default(..), and predict.rsf(..) and two corresponding entry points, rsfGrow(...), and rsfPredict(...),

Hello, I've made some fair progress on a target for 6502 family CPUs recently, but I've run into an error I'm not sure how to address. I've ruminated over it for about a week now, trying various things and not having any success. It seems to scale with the number of routines in my .ll file, which I am trying to run through llc. I get the following stack dump from an assertion:

I have a package that I'm developing that I need to unload the library. Long story short I figured out that the leaving the compiled code loaded lead to a segmentation fault, but unloading the code will fix it. I've read the documentation and it appears that there are several ways to do this? What is the popper accepted current standard for unloading compiled code? The options as I

Thanks for the suggestion, Duncan. I recently figured out that it had to do with how I was removing the pseudo instruction in my overridden expandPostRAPseudo() implementation. // member function's signature bool TheInstrInfo::expandPostRAPseudo(MachineBasicBlock::iterator p_mi) // works bb.erase(p_mi); // produces the assertion / memory leak. p_mi->removeFromParent(); I should have

I'm not sure if this is the official behavior but I would expect the na.action function applied to a lm object to return the na.action. Here is what I mean. > x<-0:10 > y<-x+rnorm(10) Warning message: In x + rnorm(10) : longer object length is not a multiple of shorter object length > y[5]<-NA > m<-lm(y~x) > m$na.action 5 5 attr(,"class") [1]

Hi all, I'm posting this here as it discusses an issue with an external C library. If it would be better in R-Help, then I'll repost. I'm using an external library which I've written, which provides a large set of data (>500MB in a highly condensed format) and the tools to return values from the data. The functionality has been tested call by call and using valgrind and works

removeFromParent just unlinks it from the basic block and returns the removed instruction. It does not delete it. On Sun, Jan 20, 2013 at 9:54 PM, David Waggoner <mathonnapkins at gmail.com>wrote: > > Thanks for the suggestion, Duncan. > > I recently figured out that it had to do with how I was removing the > pseudo instruction in my overridden expandPostRAPseudo()

Hi all, I'm posting this here as it discusses an issue with an external C library. If it would be better in R-Help, then I'll repost. I'm using an external library which I've written, which provides a large set of data (>500MB in a highly condensed format) and the tools to return values from the data. The functionality has been tested call by call and using valgrind and works

I am developing a package that is only applicable on windows, is there a line I can put in the depends field of the DESCRIPTION file to tell that this should only be build for windows? Are there any other protocols that I should follow? Thanks, -- Andrew May the Open Source be with you. [[alternative HTML version deleted]]

I want to write an R function using R's C interface that takes a 2-column matrix of increasing, non-overlapping integer intervals and returns a list with those intervals plus some added intervals, such that there are no gaps. For example, it should take the matrix rbind(c(5L, 6L), c(7L, 10L), c(20L, 30L)) and return list(c(5L, 6L), c(7L, 10L), c(11L, 19L), c(20L, 30L)). Because the output is