similar to: R on a ma c

Hi, Sorry for not being specific. I just wanted to know if there is any way at all to force clang to generate intermediate code for static functions when they are not being called anywhere inside the current module. Other compilers seem to generate intermediate code (lcc, for instance). Thanks for your reply..Olivier. Sincerely Arvind On Mon, Dec 14, 2009 at 1:10 PM, Olivier Meurant

Ah ok. Sorry. :) I think that argument "-femit-all-decls" will help you. Olivier. On Mon, Dec 14, 2009 at 9:18 PM, Arvind Sudarsanam < arvind.sudarsanam at aggiemail.usu.edu> wrote: > Hi, > > Sorry for not being specific. I just wanted to know if there is any > way at all to force clang to generate intermediate code for static > functions when they are not being

Hi, I am trying to compile a single module (dgemm.c) using clang and generate dgemm.ll. Command: clang -emit-llvm dgemm.c -S -o dgemm.ll Some of the functions are declared as static and clang ignores these functions: One of the functions is: static void innerloop(double a, const double* b, double* c, double beta) { *b = a*beta; return; } Is there any way to make clang generate llvm code

Hi Arvind, you need to use it effectively : static int add(int a, int b) { return a+b; } int use() { return add(4,5); } ==> ; ModuleID = '<stdin>' target datalayout = "e-p:32:32:32-i1:8:8-i8:8:8-i16:16:16-i32:32:32-i64:32:64-f32:32:32-f64:32:64-v64:64:64-v128:128:128-a0:0:64-f80:32:32" target triple = "i386-pc-linux-gnu" define i32 @use()

Hi Devang, Thanks for your reply. You mentioned " First parameter is the compiler generated temp. and 3rd parameter provides info about the variable, including its name 'u'." I did manage to get this far. But, I am finding it difficult to access this info using LLVM APIs. The third parameter is of type "metadata". So I was able to access it by casting it to MDNode.

On Thu, Jul 15, 2010 at 1:19 PM, Arvind Sudarsanam <arvind.sudarsanam at aggiemail.usu.edu> wrote: > Hi Devang, > > Thanks for your reply. You mentioned > " First parameter is the compiler generated temp. and 3rd parameter > provides info about the variable, including its name 'u'." > > I did manage to get this far. But, I am finding it difficult to

Dear all, I have the following source code: long f(long x, long y) { long u; u = x+y; return u; }; After clang (with debug option set) and llvm opt using mem2reg, I get the following .ll file *************************************************************************** ; ModuleID = '<stdin>' target datalayout =

On Wed, Jul 14, 2010 at 3:03 PM, Arvind Sudarsanam <arvind.sudarsanam at aggiemail.usu.edu> wrote: > Dear all, > > I have the following source code: > > long f(long x, long y) > { >        long u; > >   u = x+y; >   return u; > }; > > After clang (with debug option set) and llvm opt using mem2reg, I get > the following .ll file >

I would like to cumulatively sum rows in a matrix, in which each row has 1 NA value. The usual "na.rm=TRUE" does not seem to work with the command cumsum. Is there another way to ignore the NAs or do I need to figure out a different way to do this? Here's an example matrix of title "proportion": Ntrail Strail NFJD Baldy Onion Crane [1,]

Hello, I'm trying to make a 3D pie chart, but my labels are overlapping. I see that labelpos could offer a solution to this, but I have been unable to find any code snippets that indicate what type of value this argument requires. Any guidance would be appreciated! thank you, Tiffany

I am trying to do a power analysis to get the number of replicas per treatment. If I try to get the power it works just fine: setn=c(2,3) sdx=c(1.19,4.35) power.t.test(n = setn, delta = 13.5, sd = sdx, sig.level = 0.05,power = NULL) If I go the other way to obtain the "n" I have problems. sdx=c(1.19,4.35) pow=c(.8,.8) power.t.test(n = NULL, delta = 13.5, sd = sdx, sig.level = 0.05,

Dear List, This problem is more a statistic one than a R one. Any one can recommend me some references website or online paper on maximum likelihood estimation?I'm now working on that,while still doubt how to prove that the estimated parameters are normal distributed. Thanks for your time and help! Best, Ning

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Sourced: BiodiversityGUI.R Error : .onAttach failed in attachNamespace() for 'Rcmdr', details: call: get(Menus[m, 5]) error: object 'chisquareDistributionPlot' not found Error in BiodiversityRGUI() : needs Rcmdr Hi Guys, I am from China, I wanna use Biodiversity R, but it can't work. Can somebody help me? Thanks -- View this message in context:

Hi, R-folks: I have been tryin many combination of parameter to make Matern variogram to work, but I can't find the available one. I'm near to be crazy. I tiped: A?o2003Selg.lf<-likfit(A?o2003Selg,cov.model="matern",ini.cov.pars=c(1.5,14),kappa=2.5,fix.kappa=FALSE,nugget=0.08,lambda=0.008,fix.lambda=FALSE,hessian=TRUE) the hessian shows: $hessian [,1]

Dear R Users, I know issues like this have come up in the past. I am wondering how many people would be interested in an online mechanism for donating to the R Foundation or for becoming supporting members. Right now, the link for it is somewhat buried on the R home page, and once you get there, the options are to mail or fax a form. IIRC, Paypal was not a good option due to some fees, but

Hi, all I would like to use R to perform k-means clustering on my data which included 33 samples measured with ~1000 variables. I have already used kmeans package for this analysis, and showed that there are 4 clusters in my data. However, it's really difficult to plot this cluster in 2-D format since the "huge" number of variables. One possible way is to project the

Hi, I have been working towards generating my own IR code from llvm IR. I have hit a stumbling block with respect to "getelementptr" used inside another llvm instruction. Example: %arrayidx = getelementptr inbounds i32* getelementptr inbounds ([10 x i32]* @k, i32 0, i32 0), i32 %tmp2 ; <i32*> [#uses=1] I am unable to get a handle on the second "getelementptr" in this

Folks In trying to use lmer for a hierarchical model, I encountered the following message: Error in UseMethod("VarCorr") : no applicable method for 'VarCorr' applied to an object of class "mer" foo.mer <- lmer(y ~ TP + (TP|M),data=joe.q) > head(joe.q[,1:5]) TP M AB Trt y 1 1 Jan A NN 19.20002 2 1 Jan A NN 19.06378 3 1 Jan A NN

Hello R helpers, I'm trying to use Mahalanobis distance to calculate distance of two time series, to make some comparations with euclidean distance, DTW, etc, but I'm having some dificults. I have, for example, two objects: s.1 <- c( 5.6324702, 1.3994353, -3.2572327, -3.8311846, -1.2248719, 0.9894694, -2.2835332, -5.1969285, -5.2823988, -3.1499400, -1.7307950, 2.8221209,