similar to: lapack routine dgesdd, error code 1

Dear R helpers, I am working with R 2.4.1 GUI 1.18 (4038) for MacOSX. I have a matrix of 10 000 genes and try to run the following commands: > model.mix<-makeModel (data=data, formula=~Dye+Array+Sample+Time, random=~Array+Sample) > anova.mix<-fitmaanova (data, model.mix) > test.mix<-matest (data, model=model.mix, term="Time", n.perm=100, test.method=c(1,0,1,1))

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 the number of columns is 100,

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]]

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

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 improvement over

Dear Philipp, this is just a tentative answer because debugging is really not possible without a reproducible example (or, at a very bare minimum, the output from traceback()). Anyway, thank you for reporting this interesting numerical issue; I'll try to replicate some similar behaviour on a similarly dimensioned artificial dataset when I have some time (which might not be soon). As for now,

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

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

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

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

Well, CentOS 5.3, which amounts to the same thing. I recently decided to upgrade my main research machine from Fedora Core 8 -> CentOS 5.3. Basically, I was looking to move to a distro with longer 'term-of-life' than the release schedule for Fedora currently allows. The machine is a multi-Opteron box, so both 32- and 64-bit apps natively supported. Since I do a lot of 'linear

Dear all, Has anyone seen the same problem? I tried compiling R-1.9.0 alpha (2004-03-16) on our Opteron box running SUSE Linux ES8. I ran: ./configure --enable-R-shlib --with-blas=goto and got: Source directory: . Installation directory: /usr/local C compiler: gcc -m64 -O2 -g -msse2 -march=k8 -Wall --pedantic C++ compiler: g++ -m64 -O2 -g

A preliminary release of my postgres package for R is at http://www.nceas.ucsb.edu/~keitt/R/postgres.tgz It allows one to read and write data frames to and from a postgres database, execute queries and has an experimental "proxy" interface that allows you to access postgres tables using the standard, local data frame model. All accesses to the data frame generate the appropriate

A preliminary release of my postgres package for R is at http://www.nceas.ucsb.edu/~keitt/R/postgres.tgz It allows one to read and write data frames to and from a postgres database, execute queries and has an experimental "proxy" interface that allows you to access postgres tables using the standard, local data frame model. All accesses to the data frame generate the appropriate

Dear all, The 'make check' step fails for the pacakge mva on IBM AIX. The tail of the Rout log file looks like: > for(factors in 2:4) print(update(Harman23.FA, factors = factors)) Call: factanal(factors = factors, covmat = Harman23.cor) Uniquenesses: height arm.span forearm lower.leg weight 0.170 0.107 0.166

Dear all Some computations gave a matrix. The single value decomposition of it worked fine previously, after an system upgrade I get the following error: ----- > La.svd(x,256,256) Error in La.svd(x, nu, nv) : BLAS/LAPACK routine 'DLASCL' gave error code -4 ----- Erroneous Matrix: ftp://usys-ftp.ethz.ch/ITES/STEP/nussbaum/R/matrix-lapack-error4.RData /.csv Operating System: Debian 8

It appears that "break" will break from the outermost enclosing loop not the innermost loop. Is it a bug or language feature? Tim -- Timothy H. Keitt National Center for Ecological Analysis and Synthesis 735 State Street, Suite 300, Santa Barbara, CA 93101 Phone: 805-892-2519, FAX: 805-892-2510 http://www.nceas.ucsb.edu/~keitt/

Hello R-users, is there a speed gain in submitting R code in batch mode as opposed to the normal interactive. I searched the R website and the archives, and only found a reference R-data.html that "to read in very large objects it may be preferable to use the dumpfile as a batch script rather than source". Is this true for any R code on both Windows and Linux systems, and how much speed

Well, I've now tried just about every permutation I can think of - including using the ATLAS lapack (instead of generic), in various combinations with ACML, or 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

If you have had problems with the latest configure script in RPgSQL, please try the version attached to this message. Let me know if you have any problems. Thanks. Tim -- Timothy H. Keitt National Center for Ecological Analysis and Synthesis 735 State Street, Suite 300, Santa Barbara, CA 93101 Phone: 805-892-2519, FAX: 805-892-2510 http://www.nceas.ucsb.edu/~keitt/ -------------- next part