similar to: [LLVMdev] "fork" and "sync" for LLVM thread support - any comments?

Hi There, This post is brought about due to the following two: http://www.mail-archive.com/rsync@lists.samba.org/msg10702.html http://www.mail-archive.com/rsync@lists.samba.org/msg10709.html I have a situation where I need to upload large files over an unstable link (resuming is a requirement) and only when they are complete can they be renamed and hence replace the original file. The

Dear all, Dose anyone know whether there is a good R packege or program for Mantel's randomization test? Thanks in advance. ------------------------ Takashi Mizuno zoono at sci.osaka-cu.ac.jp Plant Ecology Lab. Osaka City University ------------------------ -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

I am fairly new to R and would like help with the problem below. I am trying to sum and count several rows in the data frame yy below. All works well as in example 1. When I try to add the columns, with an NA in Q21, I get as NA as mySum. I would like NA to be treated as O, or igored. I wrote a function to try to count an NA element as 0, Example 3 function. It works with a few warnings,

I am trying to call a funtion within another function and I clearly am misunderstanding what I should do. Below is a simple example. I know lstfun works on its own but I cannot seem to figure out how to get it to work within ukn. Basically I need to create the variable "nts". I have probably missed something simple in the Intro or FAQ. Any help would be much appreciated. EXAMPLE

Hi, I am trying to integrate my Java program with R using rJava package. I want to execute the whole Java program from R. The main() method in my Java code calls all the other defined methods. So, I guess I have to call the main() method in .jcall. An example Java code: *class A { public static int mySum(int x, int y) { return x+y; } public static void

Hello! I am trying to create an R optimization routine for a task that's currently being done using Excel (lots of tables, formulas, and Solver). However, otpim seems to be finding a local minimum. Example data, functions, and comparison with the solution found in Excel are below. I am not experienced in optimizations so thanks a lot for your advice! Dimitri ### 2 Inputs:

Is there a function in R that corresponds to the function ``map'' of perl? It could be called like: vector.a <- map( vector.b, FUN, args.for.FUN ) It should execute for each element ele.b of vector.b: FUN( vector.b, args.for.FUN) It should return a vector (or data.frame) of the results of the calls of FUN. It nearly works using: apply( data.frame( vector.b ), 1, FUN,

Does anyone know a way that an function written in R can be called within a cell of an Excel spreadsheet. I would like to use the R function much as I use the native Excel functions, e.g. instead of using the excel function sum, =sum(A2,A6), I would like to use the function mysum written in R, e.g. =mysum(A2,A6). Thanks, John John Sorkin M.D., Ph.D. Chief, Biostatistics and Informatics

Dear List: I have the follow code: y <- replicate(10,replicate(8,sum(rnorm(rpois(1,5))))) Now I need to apply the following condition to _every_ randomly generated Normal number in the code above: x - max(0,x-15) + max(0,x-90), where x represents the individual Normal numbers. In other words, the said condition needs to be applied before replicate(...(replicate(...(sum(...))) takes place.

Dear all, I have a function that predicts DV based on one predictor pred: pred<-c(0,3000000,7800000,15600000,23400000,131200000) DV<-c(0,500,1000,1400,1700,1900) ## I define Function 1 that computes the predicted value based on pred values and parameters a and b: calc_DV_pred <- function(a,b) { DV_pred <- rep(0,(length(pred))) for(i in 1:length(DV_pred)){ DV_pred[i] <- a *

I have a list of dataframes, and want to apply a function to subsets of the rows of each dataframe. It seemed natural to write a function that takes a dataframe as an argument, and uses 'by() within it to apply the function to the dataframe subsets. However, I cannot get it to work. The problem seems to be passing the data argument of by() as a function argument. Is this bug, or am I

int %nlz10(uint %param.x) { %.t3 = shr uint %param.x, ubyte 1 ; <uint> [#uses=1] %.t4 = or uint %.t3, %param.x ; <uint> [#uses=2] %.t7 = shr uint %.t4, ubyte 2 ; <uint> [#uses=1] %.t8 = or uint %.t7, %.t4 ; <uint> [#uses=2] %.t11 = shr uint %.t8, ubyte 4 ; <uint> [#uses=1]

I have a question about GetElementPtr. Suppose I have an GetElementPtr Instruction GI: %reg = getelementptr %ST* %s, uint 1, ubyte 2, ubyte 1, uint 5, uint 13 I want to check if this is the reference of a component of a structure, how can I do that? Should I check which operand of this instruction is 'ubyte' type? How can I do that in code? should I use ubyte *a =

Hello! I'm compiling code which uses pointers as iterators. For some reason--probably a silly misunderstanding of the docs--I can't eliminate duplicate pointer loads. I'll probably figure this out eventually, but if somebody else sees the answer instantly, I certainly won't complain. :-) Here are the optimizers I'm running: opt -f -simplifycfg -dce -instcombine

The aggregate function does "almost" all that I need to summarize a datasets, except that I can't specify exclusion of NAs without a little bit of hassle. > set.seed(143) > m <- data.frame(A=sample(LETTERS[1:5], 20, T), B=sample(LETTERS[1:10], 20, T), C=sample(c(NA, 1:4), 20, T), D=sample(c(NA,1:4), 20, T)) > m A B C D 1 E I 1 NA 2 A C NA NA 3 D I NA 3 4 C I

You are correct, ubyte 2 simply means 3rd element of the structure. This quantity is always constant (it specifies the field number), so we could have used any signed or unsigned integer type for it instead of ubyte. UByte means we are limited to at most 256 structure fields but it also makes the bytecode representation more compact. (To remove this restriction, we may migrate to UInt in the

Hello! I get some odd behaviour using my structs: "myKernelMap" = type {int (sbyte*)*, int ()*} "Kernel" = type {"myKernelMap"*} The second member ( int()* ) is a pointer to the %getchar() function. I want to call getchar using this function: int "callmyKernelgetchar_kernel"("Kernel"* "myKernel") { "PTRMAP" =

The hardware only generates vertexid when vertices come from a VBO. This fixes: vertexid-drawelements vertexid-drawarrays Signed-off-by: Ilia Mirkin <imirkin at alum.mit.edu> Cc: "11.0" <mesa-stable at lists.freedesktop.org> --- src/gallium/drivers/nouveau/nv50/nv50_program.c | 1 + src/gallium/drivers/nouveau/nv50/nv50_program.h | 1 +

Hi Developers, I am looking for another new project to help me get more up to speed on R and to learn something outside of R internals. One recent R issue I have run into is finding a fast implementations of the equivalent to the following SAS code: /* MDPC is an integer sort key made from two integer columns */ MDPC = (MD * 100000) + PCO; /* sort the dataset by the key */ PROC SORT;

Hi, i have some code that allocate some memory, store the pointer to a variable, read it back and deallocates it, like this: int %main(int %argc, ubyte** %argv) { %c_19 = alloca ubyte* %malloc_206 = malloc ubyte, uint 10 store ubyte* %malloc_206, ubyte** %c_19 %tmp_207 = load ubyte** %c_19 free ubyte* %tmp_207 ret int 0 } i expected the optimized to remove everything, but after running it the