similar to: (help) This is an R workspace memory processing question

Hi all, How get colnames and rownames in Rcpp method? attecthed file : RGui.exe capture my work environment : R version : 2.11.1 OS : WinXP Pro sp3 Thanks and best regards. Young-Ju, Park from Korea [1][rKWLzcpt.zNp8gmPEwGJCA00] [@from=dllmain&rcpt=r%2Dhelp%40r%2Dproject%2Eorg&msgid=%3C20100728211143%2EH

Hi, All I have a problem of R memory space. I am getting "Error: cannot allocate vector of size 198.4 Mb" ------------------------------ I've tried with: > memory.limit(size=2047); [1] 2047 > memory.size(max=TRUE); [1] 12.75 > library('RODBC'); > Channel<-odbcConnectAccess('c:/test.MDB'); # inputdata:15 cols, 2000000

Hi all, I have a problem of Rf_initEmbeddedR function. I've tried with: try { int Argc1 = 1; char *Argv1[] = {"Rtest_1"}; int Argc2 = 1; char *Argv2[] = {"Rtest_2"}; // Init R(first) Rf_initEmbeddedR(Argc1, Argv1); // R package load SEXP e = R_NilValue; SEXP r = R_NilValue; PROTECT(e =

Hi, I need your help, so I send letter to you. I have a problem about plsr in pls package. I want to show how classfied or related each ohter samples, so I tried to use plsr and biplot. But, I failed. Because, I had to change data type of my sample. Unfortunately, I didn't know how change data type. I want you to help me about that. please, help me. I show you my

Hi all, After writing data in MMF(Memory Map File) using SEXP structure, can i reference in R? If input data is larger than 2GB, Can i reference MMF Data in R? my work environment : R version : 2.11.1 OS : WinXP Pro sp3 Thanks and best regards. Park, Young-Ju from Korea. ---------[ ???????? ???????? ???????? ]---------- ???????? : R-help Digest, Vol 89,

hi, I considered multivariate multiple regression for respons, predictor, each 5 dimension. on going process, through initb <- eigen(temp)$vectors[,1:3] temp <- vhalf%*%Kproduct(Ir,initb) (herein 'vhalf' is root for inverse of covariance matrix and 'Kproduct' is Kronecker product) and then process regression. However, I have tried using the

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Hi everybody, I've written a function to run an LME model on data derived from functional magnetic resonance images. When I run the function with contrasts included I get the following error Error in eval(expr, envir, enclos) : object 'inModelFormula' not found I think it has something do do with the way contrast evaluates arguments, but I've got no idea how to fix it. The code

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Zoosk Hi , Jian-Feng Mao sent you an invite on Zoosk. [1]View Invite This message was sent by a Zoosk user who entered your email address. If you'd prefer not to receive emails when other people send you emails through Zoosk, [2]click here You have received this message at the email address: [3]r-help at r-project.org Copyright ? 2007-2012 Zoosk, 989 Market St, San

One way to deal with this is to install R itself with mpicc. Then all packages are installed with mpicc and get the required MPI libraries and includes by default. I have done this with R-2.13.0 on an Opteron cluster running CentOS-5 a while ago and so far it has worked out great. I crosspost to r-sig-hpc and welcome others to comment if there are potential downsides to this solution. George

Refiling this. The actual fix was slightly more complicated. Will soon be committed to R-Patched (aka 2.9.1 beta). -p rvaradhan at jhmi.edu wrote: > Full_Name: Ravi Varadhan > Version: 2.8.1 > OS: Windows > Submission from: (NULL) (162.129.251.19) >=20 >=20 > Inverting a matrix with solve(), but using LAPACK=3DTRUE, gives erroneo= us > results: Thanks, but there seems

I submitted the problem report to clang's bugzilla but no one seems to care so I have to send it to the mailing list. clang 3.7 svn (trunk 229055 as the time I was to report this problem) generates slower code than 3.5 (Apple LLVM version 6.0 (clang-600.0.56) (based on LLVM 3.5svn)) for the following code. It is a "8 queens puzzle" solver written as an educational example. As

The regressions in the performance of generated code, introduced by the llvm 3.6 release, don't seem to be limited to this 8 queens puzzle" solver test case. See... http://www.phoronix.com/scan.php?page=article&item=llvm-clang-3.5-3.6-rc1&num=1 where a bit hit in the performance of the Sparse Matrix Multiply test of the SciMark v2.0 benchmark was observed as well as others.

Using the SciMark 2.0 code from http://math.nist.gov/scimark2/scimark2_1c.zip compiled with the same... make CFLAGS="-O3 -march=native" I am able to reproduce the 22% performance regression in the run time of the Sparse matmult benchmark. For 10 runs of the scimark2 benechmark, I get 998.439+/-0.4828 with the release llvm clang 3.5.1 compiler and 1217.363+/-1.1004 for the current

Hi Can someone please help with the following, We are using asterisk@home 1.5 and SIP trunks to communicate to the PSTN network. We are having some problems with the call quality. Although we can hear the other person's voice quite clear when making or receiving a call, we get complaints from the people on the other end saying that our voices sound very unclear, low and that the voice

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Dear Centos Community: Allow me to introduce myself. I am Robert {Bob} Lightfoot from Borden, Indiana USA. My wikilogin shows a username of RobertLightfoot although on IRC and Fedora I am known as BobLfoot. I was reading thru the material found at http://wiki.centos.org/Contribute#head-42b3d8e26400a106851a61aebe5c2cca54dd79e5 in preparing for