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Hi Rick, this is a bug in Clang's LLVM-IR code generator: http://llvm.org/bugs/show_bug.cgi?id=14920 Best, Florian On Sunday, January 20, 2013 01:57:37 Rick Mann wrote: > For the following code: > > struct XBeePacket; > > typedef void (*CompletionProc)(XBeePacket* inPacket, void* inParam2); > > struct > XBeePacket > { >

Dear R and Bioconductor Helpers, I am using a package called RankProd under Bioconductor to analysis my Y98 (yeast) microarray data. I had no problem following the example in the vignette but got stocked when I tried to analyze my own data. When I tried to run the following command, RP.out <- RP(rrf.sub, rrf.cl.sub, gene.names = y98.gnames, rand = 123) I got the following response: Rank

For the following code: struct XBeePacket; typedef void (*CompletionProc)(XBeePacket* inPacket, void* inParam2); struct XBeePacket { bool mField1; CompletionProc mCompletionProc; }; Why does clang emit this IR? %struct.XBeePacket = type { i8, {}* } define void @MyCompletionProc(%struct.XBeePacket* %inPacket, i8*

Dear everybody! I m seeking the package named hdarray for the analysis of microarrays data. It must not included in the base packages. Thanks in advance. Aboubakar Maitournam. -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or

Dear all, I had to extracts/set elements from/in a matrix. Let say I have two vectors dim1 and dim2 of indices in the respective two dimensions of a matrix: I want to extract all the corresponding elements. I the case of a nxn matrix, dim1 <- 1:n and dim2 <- 1:n would extract the diagonal. I know one way would be to use the functions 'row' and 'col', but the matrixes I

Dear R-users, I am currently facing what appears to be a strange thing (at least to my humble understanding). If I understood correctly, starting with the version 1.2.3, R memory allocation can be done dynamically, and there is no need to fiddle with the --nsize and --vsize parameter any longer... So far this everything seemed to go this way (I saw the size of my processes growing when I was

Oh, I completely missed that one. It's very neat as it seems to work both on Windows and Unix. Thanks! Xavier On 10/02/15 10:52, Martyn Plummer wrote: > The CRAN package snow is superseded by the parallel package which is > distributed with R since version 2.14.0. Here are the release notes > > \item There is a new package \pkg{parallel}. > > It incorporates (slightly

Dear list, When I run an R CMD check --as-cran on my package (pROC) I get the following note: > Uses the superseded package: ?doSNOW? The fact that it uses the doSNOW package is correct as I have the following example in an .Rd file: > #ifdef windows > if (require(doSNOW)) { > registerDoSNOW(cl <- makeCluster(2, type = "SOCK")) > ci(roc2,

Hi Abhishek, On Sunday, July 29, 2012 18:32:11 AbhishekR wrote: > It seems like I may have to modify the way MachineFunction is instantiated in MachineFunctionAnalysis. Instead of doing it per Function, it may have to be done for the entire Module by instantiating MachineFunction objects for every Function inside the Module. This might require major changes to the PassManager framework as well.

Hi all, I am trying to build a global control flow graph at machine code level. Essentially, I need the handles to the MachineFunction's corresponding to every call site inside a MachineFunction in order to get the handles to MachineBasicBlock's with return statements inside the callee. Currently, the codegen module processes one MachineFunction at a time and hence I can't find a way

This is to announce the new R-package ?ordinal? that implements cumulative link (mixed) models for ordinal (ordered categorical) data (http://www.cran.r-project.org/package=ordinal/). The main features are: - scale (multiplicative) as well as location (additive) effects - nominal effects for a subset of the predictors (denoted partial proportional odds when the link is the logistic) - structured

Hi everyone, I'm translating into R some programs I worked through in Matlab to calculate the angle between two vectors (very large--like 6200 rows in each vector). In Matlab, I used a series of nested for loops, because I was calculating the angles between many pairs of vectors. I know for loops are not desirable in R code, so I was wondering if anyone could recommend a faster way to

Dear R friends, Is there a formula for the amount of memory, that is needed by dist(), when you know the number of columns and rows? Or is there at least an approximation? Thomas Pesl -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or

Hi all, Is there a way to compare time series using cave plots with R ? Thank you for your time. --------------------- Patrick Gonin Responsable D?partement Evaluation in vivo GENETHON III- CNRS URA 1923 1 bis, rue de l'Internationale BP 60 91002 EVRY CEDEX FRANCE Tel: 33-1-69-47-10-21 Fax: 33-1-60-77-86-98 gonin at genethon.fr ---------------------

Dear R-helpers, I have been trying to use the 'configure' feature offered to package writters... but could make it work. The matter may have been discussed before, and a rtfm answer with the place the answer is found is perfect (but I read the 'writing R extensions' manual). The problem is: In my C code I have code conditional to a defined macro. I used autoconf the naive way

R users, Does anybody know how to convert a square matrix of distances (X^2 distances, actually) into an object of class "dissimilarity" so that the cluster package can used it? Thanks. Jord? L?pez Unv. Aut?noma de Barcelona -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send

Dear all, I may have overlooked something but the following piece of code causes me trouble: > a_data.frame(1:4) > a X1.4 1 1 2 2 3 3 4 4 > apply(a,2,cat) 1 2 3 4Error in ans[[1]] : subscript out of bounds > apply(a,1,cat) 1234NULL Is this the fact my data.frame has only one dimension ? (and do I forget somewhere (but where ?) to specify not to 'drop'

Dear all, I updated ('almost' painlessly =) ) the XFree version of my suse distribution 7.1 (could not wait any longer as the screensaver was crashing everything with irregular periodicity)... I have now Xfree 4.1.0 running (with OpenGL 3D going through the Mesa library), and I downloaded MS truetype fonts (as suggested by Mr. Suse). R seems to work... except (so far) the output of the

Dear all, The following causes me trouble: > a <- data.frame(2:5,3:6,4:7) > str(a) `data.frame': 4 obs. of 3 variables: $ X2.5: int 2 3 4 5 $ X3.6: int 3 4 5 6 $ X4.7: int 4 5 6 7 > str(data.matrix(a)) int [1:4, 1:3] 2 3 4 5 3 4 5 6 4 5 ... - attr(*, "dimnames")=List of 2 ..$ : chr [1:4] "1" "2" "3" "4" ..$ : chr

Dear all, I compiled R-1.6.2 for IBM-AIX (using the native compilers) and I am facing problems to instanciate (rather) large matrices. I have: > m <- matrix(0, 640*640, 102) Error: cannot allocate vector of size 326400 Kb I am not truly familiar with AIX, but this does not seem to be caused by kernel/user limitations: ulimit -Ha gives: core file