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Dear all, I just noticed that the 0.9 update for FrF2 did not work out for Mac OS due to an error in an example that ran without error on all other platforms. I do not find any reason for this. In the past, umlauts or tab characters have sometimes been an issue, but I didn't find any of these. The function definition is FrF2(nruns = NULL, nfactors = NULL, factor.names = if

hi all i know that one should try and limit the amount of looping in R programs. i have supplied some code below. i am interested in seeing how the code cold be rewritten if we dont use the loops. a brief overview of what is done in the code. ============================================== ============================================== ============================================== 1. the input

I am receiving the above error ( full r session output below) the script runs OK in windows. and "genotypes" and "ploidy" are both correct arguments any suggestions would be most welcome Nevil Amos MERG/ACB Monash University School of Biological Sciences > library(Geneland) Loading required package: RandomFields Loading required package: fields Loading required

Apologies for asking about this, but I don't quite understand how this works after looking through the FAQ and the Help archives. Let's say I want to pass "1000" as an argument to R. I did the following: >R CMD BATCH --1000 infile outfile When I do print( commandArgs() ), I see [1] ".../R.bin" "--restore" [3] "--save"

Any way to check if another proc has run or been run by a proc that is setuid or seteuid?

I've been attempting to understand the one-sample run test for randomness. I've found run.test{tseries} and run.test{lawstat}. Both use a large sample approximation for distribution of the total number of runs in a sample of n1 observations of one type and n2 observations of another type. I've been unable to find R code to generate the exact distribution and would like to see how

Hi all i have an interesting project that i have been working on. i intended to set this as a first year programming problem but then changed my mind since i thought that it might be too difficult for them to program. the problem is as follows: You have been approached by a local casino in order to investigate the performance of one of their slot machines. The slot machine

...:Int32Ty, 10); CallInst *Add1CallRes = CallInst::Create(my_function, Ten, "some_test_func", BB); Add1CallRes->setTailCall(true); ReturnInst::Create(Add1CallRes, BB); std::cout << "We just constructed this LLVM module:\n\n" << *M; std::cout << "\n\nRunning foo: " << std::flush; std::vector<GenericValue> noargs; GenericValue gv = EE->runFunction(FooF, noargs); std::cout << "Result: " << gv.IntVal.toStringUnsigned(10) << "\n"; return 0; } 2008/8/19, Gordon Henriksen <gordonhenriksen...

Dear all I wrote a routine. At the end of each cycle of the loop I would like to save the result (plot) in a postcriptfile. Of course if I just use dev.print in the following way: dev.print(device=postcript, 'c:/Rfigures/plot_1.ps") I overwrite my results with the second cycle of the loop. I suppose there is a way to define the file name so that several plots are

Hi there I'm working with ncdf data. I have different dataset for 4 runs, 4 seasons and 3 timeslices (48 datasets in total). The datasets have the following dimensions: 96 longitudes, 48 latitudes and 30 time steps. To read all of them in, I wrote the following loop: runs <- c("03","04","05","06") years <- c(1851,1961,2061) seasons <-

Hi, I have a question about the computation of confidence intervals in the zyp package, in particular using the functions zyp.sen and confint.zyp, or zyp.yuepilon. (1) I'm a bit confused about the confidence intervals given by zyp.sen and confint.zyp. When I request a certain confidence interval in the function, the R output seems to deliver another confidence interval, e.g. when I set

...unction, Ten, > "some_test_func", BB); > Add1CallRes->setTailCall(true); > > ReturnInst::Create(Add1CallRes, BB); > > std::cout << "We just constructed this LLVM module:\n\n" << *M; > std::cout << "\n\nRunning foo: " << std::flush; > > std::vector<GenericValue> noargs; > GenericValue gv = EE->runFunction(FooF, noargs); > > std::cout << "Result: " << gv.IntVal.toStringUnsigned(10) << > "\n"; > re...

...unction, Ten, > "some_test_func", BB); > Add1CallRes->setTailCall(true); > > ReturnInst::Create(Add1CallRes, BB); > > std::cout << "We just constructed this LLVM module:\n\n" << *M; > std::cout << "\n\nRunning foo: " << std::flush; > > std::vector<GenericValue> noargs; > GenericValue gv = EE->runFunction(FooF, noargs); > > std::cout << "Result: " << gv.IntVal.toStringUnsigned(10) << "\n"; > return...

...gt;(), "lambdaRetVar"); builder.CreateRet(lambdaRes); ExecutionEngine *EE = EngineBuilder(std::move(Owner)).create(); EE->addGlobalMapping(lambdaFN, &lambdaBody); outs() << "We just constructed this LLVM module:\n\n" << *M; outs() << "\n\nRunning main: "; std::vector<GenericValue> noargs; GenericValue gv = EE->runFunction(mainF, noargs); outs() << "Result: " << gv.IntVal << "\n"; llvm_shutdown(); delete EE; return 0;} The output is: We just constructed this LLVM module: ; M...

Here is the example: ID ADDR FLG NRUN BSPL PRI RNRN KRNRN SWITCH THREAD PROC 0 fffffffffbc259b0 1b 1 0 -1 no no t-0 ffffff0003e05c80 (idle) | | RUNNING <--+ +--> PRI THREAD PROC READY EXISTS ENABLE I was told that SWITCH stood for

Hi Does anybody know of any R packages under Windows to produce video files from a sequence of R graphs -- e.g. in .wmv or avi format? Thanks David

...mat to binary, which is not a big deal. Then I read in the binary data, and it has 3 dimensions: x, y, and time. The following is my code ------------------------------------------------------------------------------------------------------------------------- nx <- 349 ny <- 277 nt <- 312 nRunning <- 12 missing <- -900. datain <- readBin("PWAT-mon.197901-200412.dat",what=numeric(),n=nx*ny*nt,size=4,endian="little") datain[datain<missing] <- NA data <- array(datain,c(nx,ny,nt)) library(clim.pact) eof.c <- EOF(data,mon=1) -------------------------------...

...duleProvider(M); ExecutionEngine* EE = ExecutionEngine::create(MP, false); Function *MainFunction = M->getFunction("main"); if (!MainFunction) { std::cerr << "'main' function not found in module.\n"; return -1; } std::cout << "\n\nRunning main: " << std::flush; // Call the function with no arguments: std::vector<GenericValue> noargs; GenericValue gv = EE->runFunction(MainFunction, noargs); // Import result of execution: std::cout << "Result: " << gv.IntVal.toStringUnsigned(10...

...t;entryBlock", fooFunc); llvm::ReturnInst::Create(context, basicBlock); llvm::ExecutionEngine *executionEngine = llvm::EngineBuilder(module).create(); llvm::outs() << "We just constructed this LLVM module:\n\n" << *module; llvm::outs() << "\n\nRunning foo...\n"; llvm::outs().flush(); std::vector<llvm::GenericValue> noargs; executionEngine->runFunction(fooFunc, noargs); executionEngine->freeMachineCodeForFunction(fooFunc); delete executionEngine; llvm::llvm_shutdown(); and I am still getting the same p...

> > > Now, I may be wrong, but I was under the impression that a call to > > > InitializeNativeTarget was recommended, if not compulsory, so. why > > > commenting it out not only makes my LLVM code still work, but also > > > prevent my application from generating the above error.?! > > > > My bet is that your code is writing through a stray pointer.