search for: dgesdd

Dear All, Under Debian GNU/Linux La.svd (with method = "dgesdd") sometimes gives the error "Error in La.svd(data, nu = 0, nv = min(nrow, ncol), method = "dgesdd") : LAPACK routine DGESDD gave error code -12" It seems not to depend on the data per se, but on the relationship between numbers of rows and columns. For example, if t...

...model.mix) > test.mix<-matest (data, model=model.mix, term="Time", n.perm=100, test.method=c(1,0,1,1)) I get the following error message: Doing F-test on observed data ... Doing permutation. This may take a long time ... Error in La.svd(X) : error code 1 from Lapack routine 'dgesdd' What does this mean? is my matrix too big? What can I do? Thanks a lot in adavance Sophie

Error in La.svd(x, nu, nv) : error code 1 from Lapack routine ‘dgesdd’ what resources are there to track down errors like this [[alternative HTML version deleted]]

Hello R-users, during one of my analyses that involve a SVD, I get the following error message: Error in La.svd(x, nu, nv, method) : error code 1 from Lapack routine dgesdd With a search on the R web site, I only found references to error codes 17 and 3 for this particular routine. I also found the Lapack web site, but could not find a list of the possible error messages. If somebody knows what this error message means, or where I can find more information, that woul...

Dear all I have a big matrix of standardized values (dimensions 285x5829) and R fails to calculate the principal components using prcomp() with the following error message: pc <- prcomp(my.matrix) Error in La.svd(x, nu, nv, method) : error code 1 from Lapack routine dgesdd Is the matrix too big? I'm using R-1.8.1 under Unix (Solaris8) and Linux(Suse 8.2). I tried to perform a principal component analysis using a huge matrix with the dimensions 1000x10000 and it worked without an error message. test <- matrix(rnorm(10000000), ncol=1000, nrow=10000) pc <- p...

...2 Trieste (Italy) tel. +39 040 671184 fax +39 040 671160 ----------------- original message ------------ Message: 8 Date: Wed, 2 May 2012 05:45:47 -0700 (PDT) From: Philipp Grueber <philipp.grueber at ebs.edu> To: r-help at r-project.org Subject: Re: [R] error in La.svd Lapack routine 'dgesdd' Message-ID: <1335962747113-4603097.post at n4.nabble.com> Content-Type: text/plain; charset=UTF-8 Dear R Users, I have an unbalanced panel with (on average) approx. 100 individuals over 1370 time intervals (with individual time series of different lengths, varying between 60 and 1370 t...

Hi, I'm just wondering if it is planned to include the Lapack routine DGESDD (and friends) in R-1.4.0? This is faster (supposedly by a factor of ~6 for large matrices) than DGESVD which is currently (R-1.3.1) called by La.svd. And if it is not in the plans yet, is there a chance it could be? I've added it to my local version of R-1.3.1 and so far see a factor of 4 im...

Hi, I wonder where I can find an example of using a function in LAPACK library in a user's own C code. I wrote a C program which will be compiled and linked to produce a DLL file and then loaded into R. I hope to use a function from LAPACK library, for example, dgesdd, in the program. Following R manual, I call the function by F77_CALL(dgesdd) in the program. The program can be compiled without problems. However, when it is linked to produce a DLL file, I get an error message Test.obj : error LNK2001: unresolved external symbol _dgesdd_ Test.dll : fatal er...

Lately I'm getting this error quite a bit: Error in La.svd(x, nu, nv) : error code 1 from Lapack routine 'dgesdd' I'm running R 2.5.0 on a 64 bit Intel machine running Fedora (8 I think). Maybe the 64 bit platform is more fragile about declaring convergence. I'm seeing way more of these errors than I ever have before. From R-Help I see that this issue comes up from time to time. I'm posti...

Dear R community, I have a data matrix (531X314), and would like to apply the prcomp. However, I got this error Lapack message. I am using R3.2.2. I googled a bit and found that it might be related to converge issue. ?Just wonder if there is a way to get around it? Thank you very much! Ace On Thursday, December 29, 2016 11:44 AM, Ista Zahn <istazahn at gmail.com> wrote: Use

I am attempting to perform a pca on a data frame of dimension 5000x19, but when I execute pcapres<-prcomp(pres,center=TRUE) the following error message is returned: Error in La.svd(x, nu, nv, method) : error code 18 from Lapack routine dgesdd Where am I going wrong? I am running R-1.8.0 on Debian. Regards, Laura

...9;t for the life of me figure out how to compile R against blas - ACML-variety or otherwise. Moreover, putting in --with-lapack explicitly causes all sorts of errors - the main one being 'hinted at' in the R admin docs. The error is Error in La.svd(x, nu, nv) : BLAS/LAPACK routine 'DGESDD' gave error code -12 Calls: cancor -> svd -> La.svd -> .Call Execution halted So, from the admin guide, I find the following Since ACML contains a full LAPACK, if selected as the BLAS it can be used as the LAPACK /via/ --with-lapack. If you do use --with-lapack, be aware of potentia...

...<- Seatbelts[, c("kms", "PetrolPrice", "law")] > X[, 1] <- log10(X[, 1]) - 4 > arima(log10(Seatbelts[, "drivers"]), c(1,0,0), + seasonal = list(order= c(1,0,0)), xreg = X) Error in La.svd(x, nu, nv, method) : error code 3 from Lapack routine dgesdd Execution halted If I do "make clean" and re-configure without the Goto BLAS, then it passes make check. Does anyone know what I'm doing wrong? Any help much appreciated! Best, Andy Andy Liaw, PhD Biometrics Research PO Box 2000, RY33-300 Merck Research Labs...

...11 (filtered medium) Hi, I'm the mannova package maintainer. We used La.svd(X, method="dgesvd") in maanova package before. After R-2.3.0, the old La.svd() method was deprecated for option method="dgesvd". I changed maanova code correspondingly, which will call method="dgesdd" instead. But after that, we keep getting below error message from La.svd() if the data object is big. Error in La.svd(X) : error code 1 from Lapack routine 'dgesdd' Would you please help us to figure out what's the cause of this? We tried the small and big microarray data set. S...

...d blas. Configure proceeds without any errors. Make, same thing. Make check - same problem with stats. But, this time a .fail file got created in tests/Example. Bottom of the file has something which might resonate with someone out there: Error in La.svd(x, nu, nv) : BLAS/LAPACK routine 'DGESDD' gave error code -12 Calls: cancor -> svd -> La.svd -> .Call Execution halted So, from the admin guide, I find the following Since ACML contains a full LAPACK, if selected as the BLAS it can be used as the LAPACK /via/ --with-lapack. If you do use --with-lapack, be aware of potentia...

...gs 3.379 2.628 0.162 Proportion Var 0.422 0.329 0.020 Cumulative Var 0.422 0.751 0.771 Test of the hypothesis that 3 factors are sufficient. The chi square statistic is 22.81 on 7 degrees of freedom. The p-value is 0.00184 Error in La.svd(B) : error code 3 from Lapack routine dgesdd Execution halted Any hint ? Laurent

...of bird abundance categories, and predictors are continuous habitat variables. > ro6 <- polr(formula = abun ~ InOmbrot + Oliva.OC + ToCultAr + DivCulArb + AltitMax + COORXY) > summary(ro6) Re-fitting to get Hessian Error in La.svd(x, nu, nv, method) : error code 8 from Lapack routine dgesdd In addition: Warning messages: 1: NaNs produced in: dlogis(x, location, scale, log) 2: NaNs produced in: dlogis(x, location, scale, log) But if I call for the "ro6" object I get the coefficients but without standard errors: > ro6 Call: polr(formula = abun ~ InOmbrot + Oliva.OC +...

...generic BLAS, or ATLAS blas. No matter what I do, so long as I have lapack of any flavour, I get the 'stats error' with make check. And, it always seems to throw the error at the same point in the stats test file (an svd in cancorr, or some such). Specifically, BLAS/LAPACK routine 'DGESDD' gave error code -12. So, I can pass the 'check tests' so long as I'm willing to drop lapack. Fine, except that big algebra things take insane amounts of time without lapack (1-20 fold decrease in throughput). If it matters, here are some specific specs... gcc version 4.1.2 200...

...##################################### > ### code chunk number 14: rontotools.Rnw:177-178 > ################################################### > peRes <- pe(x = fc, graphs = kpg, ref = ref, nboot = 200, verbose = FALSE) Error in La.svd(x, nu, nv) : error code 1 from Lapack routine 'dgesdd' It would be great if R CMD build could produce this error instead of the uninformative ?x? must be an atomic vector. I see this with many different packages and I always have to do the same dance in order to find out what is really going on. BTW, I don't think it's referring to th...

Hi, I am looking for C/C++ codes for computing generalized inverse of a matrix. Can anyone help me in this regard? Thanks, Mahbub.