similar to: Wombling

Dear R Community, I am happy to introduce the next release of the *dclone* package (see R Journal, 2(2): 29-37, 2010) which now includes a suite of functions for parallel computations: - see functions parJagsModel, parUpdate, parCodaSamples using 'snow' type clusters; and the - jags.parfit function that can be used with 'snow' type clusters or multiple cores. - iterative model

Dear R Community, I am happy to introduce the next release of the *dclone* package (see R Journal, 2(2): 29-37, 2010) which now includes a suite of functions for parallel computations: - see functions parJagsModel, parUpdate, parCodaSamples using 'snow' type clusters; and the - jags.parfit function that can be used with 'snow' type clusters or multiple cores. - iterative model

Dear R Community, I am happy to introduce the latest version 1.3-0 of the 'dclone' R package. The package provides low level functions for implementing maximum likelihood estimating procedures for complex models using data cloning and Bayesian Markov chain Monte Carlo methods with support for JAGS, WinBUGS and OpenBUGS. Data cloning is a global optimization approach and a variant of

Dear R Community, I am happy to introduce the latest version 1.3-0 of the 'dclone' R package. The package provides low level functions for implementing maximum likelihood estimating procedures for complex models using data cloning and Bayesian Markov chain Monte Carlo methods with support for JAGS, WinBUGS and OpenBUGS. Data cloning is a global optimization approach and a variant of

Problem solved. I was building llvm in a separate llvm-build directory. I built it within the llvm-src directory (which kept all the llvm .so and my pass' .so in the llvm-src/Release+Asserts/lib directory) to solve the problem. Can anyone tell me what's the difference between writing a pass as a "struct" (as in the tutorial) and as a "class" (as most developers do)?

Hi, I found this email on the R website. I am trying to figure out how to analyse a data set that I believe will need to be run through a procedure involving repeated measures, regression and mixed models. The data is of insect populations (dependent variable - either 0/1=binomial, or as counts=poisson) in sites with different characteristics (multiple independent variables which are both

Hi, > Problem solved. I was building llvm in a separate llvm-build directory. I > built it within the llvm-src directory (which kept all the llvm .so and my > pass' .so in the llvm-src/Release+Asserts/lib directory) to solve the > problem. I do not fully understand what you mean, there should be no difference on building out of source AFAIK. > Can anyone tell me what's

How does one rotate the loadings from a principal component analysis? Help on function prcomp() from package mva mentions rotation: Arguments retx a logical value indicating whether the rotated variables should be returned. Values rotation the matrix of variable loadings (i.e., a matrix whose olumns contain the eigenvectors). The function princomp returns this in the element

R-ecologists: Anyone wanting to create a Krebs package for R can do so using the C-source code avalaible at: ftp://gause.biology.ualberta.ca/pub/jbrzusto/krebs/source.zip Barry J. Cooke Current mailing address: Ph.D. Candidate 3971 NW 23 Circle Environmental Biology and Ecology Gainesville, Florida, USA Department of Biological Sciences 32605

Thanks for the reply. For the source code: int main() { int a = 0; int *p; p = &a; call_arnamoy(p); int *p1; p1 = p; return 1; } The bit code: %retval = alloca i32, align 4 %a = alloca i32, align 4 %p = alloca i32*, align 8 %p1 = alloca i32*, align 8 store i32 0, i32* %retval store i32 0, i32* %a, align 4 store i32* %a, i32** %p, align 8 %0 = load i32** %p, align 8 %call = call i32

I've written a g.test() aka log-likelihood ratio test function for my opwn use. It's something I've seen requested (and looked to find myself) on this list a few times. It has the same basic syntax as chisq.test(). It does both goodness of fit tests and tests of independence. Yates' and Williams' corrections are implemented. I've put some examples from Sokal & Rohlf

Hi; I was wondering how can I get the name of the bitcode file on which I am running the pass. I am making my pass as a loadable module. And if I run my pass like this - opt -S -loops -load /home/arnie/llvm-clang/llvm/Release+Asserts/lib/XYZ.so -xyz <b.bc> b1.bc I want to get b.bc in the pass. Thank you; -- Arnamoy Bhattacharyya Athabasca Hall 143 Department of Computing Science -

We are running multiple SAMBA servers but they all access the same printers, so I would like to copy the config files (as there are about 100 printers) from the main server to the others so that al the attached drivers and comments and such are intact. Any ideas on this one? BTW Our servers are running Solaris8, Linux (red hat 7.2), etc... -- -Broderick Wood- Analyst, Systems Support Group

Hi all; I have been trying to use the llvm::ConstantArray::get(llvm::LLVMContext&, llvm::StringRef, bool) function but seems it has been deprecated. ProfileDependence.cpp:68:73: error: no matching function for call to ‘llvm::ConstantArray::get(llvm::LLVMContext&, llvm::StringRef, bool)’ ProfileDependence.cpp:68:73: note: candidate is:

Hi all; Problem: Running a bitcode file produced by llvm-gcc (gcc 4.6.3 + dragonegg 3.1 + llvm 3.1) with lli (Ubuntu 12.04) *llvm-gcc:* llvm-gcc -c hello.c -emit-llvm -o hello.bc lli hello.bc output: lli: hello.bc:1:1: error: expected top-level entity ELF@4( *clang:* clang -c hello.c -emit-llvm -o hello.bc lli hello.bc output: hello world hello.c: #include <stdio.h> int main() {

Hey, folk. I am trying to get many figures by using the function "xyplot" in the library "lattice". I tried to using the loop to finish it quickly. But I cannot open the saved file after I run the program. But if I use the function "plot" to get other simply figures, it can work. So I want to ask how I can get the saved figures by using "xyplot". The

Hello; I wanted to insert two new terminator instructions in LLVM IR. I modified the necessary files (as mentioned in the tutorial in LLVM site and some more to meet the new structure of LLVM, (e.g no Lexer.l now, we have LLLexer.cpp. Again in the tutorial, files like LLVMBitCodes.h, include/llvm-c/core.h that need to be modified are not mentioned) But I am getting the error while building

Hi, I am wondering if the kde2d 2-D kernel density estimation function in the MASS package can take into account the effect of correlations between the variables. I couldn't find any achieved information on this issue. Unfortunately, I don't have the 2002 edition of Modern Applied Statistics with S by Venables and Ripley in case it was described there. Thanks in advance. Adam

Hi; I wrote an LLVM transformation pass and I put my code inside the llvm-src/lib/Transforms/my-pass directory. I want to know what is the correct method for compiling it and building my plugin for the pass. After reading the http://llvm.org/docs/WritingAnLLVMPass.html page, I felt that I have to keep my pass inside the above said directory. But when I run make from inside my-pass directory

Hello; Thanks to Eli for the pointer to the ConstantDataArray::getString() fucntion. Now I am trying to declare a global char array with the content "hi" and call a function "print" (which takes a char pointer and return an insteger. I am doing the following in the code - Function Creation: PointerType* array = PointerType::get(IntegerType::getInt8Ty(getGlobalContext())