similar to: [LLVMdev] mixed bc file

Hi, This is Crystal. I have some questions about llvm-gcc. Could you please give me some advice? Thanks in advance. Problem description: Env: llvm-gcc (GCC) 4.2.1 gcc (GCC) 4.1.2 OS:fedora7 I tried to compile a C programme test.c with llvm-gcc by task: [root at localhost mylib]# llvm-gcc -emit-llvm test.c -Llibmylib.a -c -o test.bc [root at localhost mylib]# lli test.bc after running the command

This is quite strange behaviour - at least for R-novice as myself.... Consider this: > testf <- function() { x <-2; sprintf("%s %f", "x =", x); return(x) } > result <- testf() > testf <- function() { x <-2; sprintf("%s %f", "x =", x) } > result <- testf() > testf() [1] "x = 2.000000" Apparently adding return()

Hi Eli, Thanks for your rapid response! Now I have another question. How&nbsp;to&nbsp;get LLVM bc files successfully by compiling test.c and static libraries ? Thanks a lot! ----- 原始邮件 ----- 发件人：Eli&nbsp;Friedman&nbsp;<eli.friedman at gmail.com> 收件人：LLVM&nbsp;Developers&nbsp;Mailing&nbsp;List&nbsp;<llvmdev at cs.uiuc.edu>

Dear R helpers, I am having trouble with an array inside a loop. I wish to accumulate the results of a function in an array within the function, over several loops of a program outside the function. The problem is that the array seems to re-set at every entry to the function. Here is an example, so you can see what I mean.

Hello! I would like to know if there is a simple way to reorder levels of a given factor.Let's say that the vector testf<-factor(c("red","red","red","blue","blue","white")) levels(testf) : blue red white should have reordered levels such as levels(testf) : red blue white (this is for presentation purposes) I guess

Hi, I had the following code: testp <- rcorr(t(datcm1),type = "pearson") mat1 <- testp[[1]][,] > 0.6 mat2 <- testp[[3]][,] < 0.05 mat3 <- mat1 + mat2 The resulting mat3 (smaller version) matrix looks like: NA 0 0 0 0 NA 0 NA 0 0 NA 2 0 0 2 NA To get to the number of times a '2' appears in the rows, I was

Hi, this is my first time using R. I want to simulate the following process: "in a population of size N, there are i individuals bearing genotype A, the number of those bearing A is j in the next generation, which following a binominal distribution (choose j from 2*N, the p is i/2*N), to plot the probability of the next generations, my script is as follows. It cannot run successfully,

Hello, I would like to run some code in parallel with each cluster reading/writing to a different working directory. I've tried the following code without success. The error I get is: "Error in setwd(x) : cannot change working directory" library(parallel) dirs <- list("out1","out2","out3") # these directories are located within the current

Sorry, sorry.... of course levels(testf)[c(2,1,3)] will do the job My excuses to all Anne PS I will meditate the following saying "la parole est d'argent et le silence est d'or" BONNES FETES A TOUS SEASONAL GREETINGS ---------------------------------------------------- Anne Piotet Tel: +41 79 359 83 32 (mobile) Email: anne.piotet@m-td.com

hi, say I have consecutively numbered objects obj1, obj2, ... in my R workspace. I want to acces one of them inside a function, with the number given as an argument. Where can I find help on how to do that? Somebody must have been trying to do this before... Some keywords to start a search are appreciated as well. Here's an example, I hope it clarifies what I'm trying to do: obj1 <-

Hi, I am creating a function and ran into the problem of selecting a column from a dataset. It seems as though the $ function (as in data$columnname) does not apply in the function. In simplified version: This works: testf2<-function(data,columnnumber){print(data[,columnnumber])} But this doesn't: testf<-function(data,column){print(data$column)} Even though the first solution works,

Dear all, I am trying to train a randomForest using all my control data (12,000 cases, ~ 20 explanatory variables, 2 classes). Because of memory constraints, I have split my data into 7 subsets and trained a randomForest for each, hoping that using combine() afterwards would solve the memory issue. Unfortunately, combine() still runs out of memory. Is there anything else I can do? (I am not using

I was wrong about needing the Relevel from the Lexis package. The default verson of relevel does the job of reshuffling levels in any desired order, albeit with a warning (which comes from the fact that apparently only a single number had been anticipated by the designer): > testf <- factor( sample( letters[1:4], 100, replace=T ) ) > table( testf, newf=relevel( testf, ref=c(3,2,1,4) )

ID: T8dfe471e360ac80264c6c Dear, I'm using R 2.8.1 with the package reshape version 0.8.2 . It seems that the combine_factor function has problems with combining levels to an empty level: #EXAMPLE WORKING test<-sample(c(1:10),1000,replace=T) testf<-factor(test, c(1:10), LETTERS[1:10]) table(testf,exclude=NULL) testc<-combine_factor(testf, c(1,1,1,1,1,2,2,2,2,2))

To the R developers, The discussion below reminded me that I think it might be a good idea to take the Relevel function from the Lexis package and replace relevel in stats with it. This is really nothing special for epidemiology. It is fully compatible with the existing relevel (it actually contains the relevel code almost verbatim as a subset), but it has the extra functionality of combining

I know about the current.row, current.column, and panel.number functions that are useful within panel functions written for lattice. Are there easy ways to obtain the names of the conditioning variables (those appearing after |) and their values for the current panel? Thanks Frank ----- Frank Harrell Department of Biostatistics, Vanderbilt University -- View this message in context:

Hi, I have installed llvm and llvm-gfortran on Pentium4 machine using 32-bit Ubuntu, it works fine. I recently installed them on AMD64-Ubuntu 8.04, llvm-gfortran gave me following errors $ llvm-gfortran -Wall hello.f95 -o hellof /home/jli127/LLVM/llvm-gcc/install/bin/../lib/gcc/x86_64-unknown-linux-gnu/4.2.1/../../../../lib64/libgfortran.a(error.o): In function `_gfortrani_gfc_itoa':

I have two one dimensional list of elements and want to perform cbind and then write into a file. The number of entries are more than a million in both lists. R is taking a lot of time performing this operation. Is there any alternate way to perform cbind? x = table1[1:1000000,1] y = table2[1:1000000,5] z = cbind(x,y) //hanging the machine write.table(z,'out.txt) -- -------------

Hi, Today I came upon unexpected R behaviour. I did some modelling and the result was R object, about 28MB size (nested list, with matrixes as list elements). When I was saving the session with save.image, the resulting .RData file was 300MB. There were no other large objects: >

Tatu Vaajalahti wrote: > With this program llvm-gcc -O2 optimizes test2 away even though it's > address is taken in program (gcc-4.2 does not, neither does llvm-gcc > with -O or -O0): > > > #include <stdio.h> > > static const char test1 = 'x'; > static const char test2 = 'x'; > > int main(int argc, char **argv) > { >