similar to: error code 5 from Lapack routine 'dsyevr'

Hi, I got an error message in my program saying "Error in eigen(gene_intersection.kernel) : error code 1 from Lapack routine 'dsyevr' Execution halted". As you see, I was trying to compute the eigenvalues of a matrix but got this error. Is there anyone who knows what this error means and how I can fix it? Theoretically the eigenvalues should be nonnegative, if it helps.

On 2 February 2015 at 10:07, William Dunlap <wdunlap at tibco.com> wrote: <snip> > > If all goes well then > eigen(lastEigenX) > will cause the same error and you or someone on this list can see what > is odd about that matrix (e.g., by looking at its singular values). Preferably *not* this list as this doesn't really seem to be about developing R or with/for

Thank you for your reply. Do you have any idea of how to get rid of the errors? I tried Null function to calculate eigenvectors and nearPD to get approximate positive definite matrix first but they also had errors. -- View this message in context: http://r.789695.n4.nabble.com/error-code-1-from-Lapack-routine-dsyevr-tp4702571p4702639.html Sent from the R devel mailing list archive at

On 31/01/2015 14:15, eigen wrote: > Hi, > > I got an error message in my program saying > > "Error in eigen(gene_intersection.kernel) : > error code 1 from Lapack routine 'dsyevr' > Execution halted". > > As you see, I was trying to compute the eigenvalues of a matrix but got this > error. Is there anyone who knows what this error means and how I

On 02 Feb 2015, at 04:08 , eigen <liguowei1991 at gmail.com> wrote: > Thank you for your reply. Do you have any idea of how to get rid of the > errors? I tried Null function to calculate eigenvectors and nearPD to get > approximate positive definite matrix first but they also had errors. > How could we? All we know is that you are having trouble running some unspecified code

You can start diagnosing the problem by capturing the matrix that caused eigen() to stop. You can do this in a variety of ways; here is one trace(eigen, quote(lastEigenX <<- x)) After setting the trace, make your offending function call and after the error the global variable 'lastEigenX' will contain the bad matrix. Take the trace off of eigen untrace(eigen) If all goes

Professor Ripley commented on LAPACK error codes: https://stat.ethz.ch/pipermail/r-help/2007-March/127702.html and says "Internal LAPACK errors are usually problems with arithmetic accuracy, and as such are compiler- and CPU-specific." Is there a listing for the error codes from Lapack routine 'dsyevr'? Especially I am interested about the meaning and handling of error codes 1

output of R.version platform i686-pc-linux-gnu arch i686 os linux-gnu system i686, linux-gnu status major 1 minor 9.1 year 2004 month 06 day 21 language R The following code prints [1] 2, as it should temp<-function(ab,...){ print(ab) } temp(2,s=3) However, this code prints [1] 3: temp<-function(sb,...){ print(sb) } temp(2,s=3) It should still print [1] 2.

The following code prints [1] 2, as it should temp<-function(ab,...){ print(ab) } temp(2,s=3) However, this code prints [1] 3: temp<-function(sb,...){ print(sb) } temp(2,s=3) It should still print [1] 2. It appears that if a variable in ... begins with the same letter as another variable, the value in the variable in ... overwrites the value in the variable with the same first letter. I

hello, i want to compute the top k eigenvalues+eigenvectors of a (large) real symmetric matrix. since it doesn't look like any top-level R function does this, i'll call LAPACK from a C shlib and then use .Call. the only LAPACK function i see to do this in R_ext/Lapack.h is dsyevx. however, i know that in LAPACK dsyevr can also return a partial eigendecomposition. why is dsyevr not

hello, i want to compute the top k eigenvalues+eigenvectors of a (large) real symmetric matrix. since it doesn't look like any top-level R function does this, i'll call LAPACK from a C shlib and then use .Call. the only LAPACK function i see to do this in R_ext/Lapack.h is dsyevx. however, i know that in LAPACK dsyevr can also return a partial eigendecomposition. why is dsyevr not

After having scoured the net for a way to do SMB over SSH with Windows, I've tried everything I have found and I still can't get it to work. I'm using Windows Vista as the client and FC6 with Samba 3.0.24-1 as the server. I have set up a share and can successfully connect to that share with no ssh tunnel. I would like to tunnel SMB over SSH, so here is what I have tried: 1.

If I have a contourplot (in the lattice package) and I want to add straight lines to it, how do I do this? I see that there are llines() and lsegement() functions for lattice plots, but they don't seem to do anything in this case: library(lattice) library(KernSmooth) x=rnorm(10000) y=x+rnorm(x,0,.5) a=bkde2D(cbind(x,y),.7) z=as.vector(a$fhat) grid=expand.grid(x=a$x1,y=a$x2) grid$z=z

Hi everyone, I saw this problem dealt with here: http://markmail.org/search/list:r-project?q=integrate#query:list%3Ar-project%20integrate+page:1+mid:qczmyzr676pgmaaw+state:results but no one answered that request that I can tell. I'm having the same problem. I'm having problems passing arguments to functions that I'd like to integrate. I could swear this worked in the past, but I

Dear All, For function: rmvnorm{mvtnorm} in (library mvtnorm, not splus2R), if I generate 2 bivariate normal samples as follows: > rmvnorm(2,mean=rep(0,2),sigma=diag(2)) [,1] [,2] [1,] 2.0749459 1.4932752 [2,] -0.9886333 0.3832266 Where is the first sample, it is stored in the first row or the first column? Does this function store samples row-wise or column-wise? Thank

This continues the message "data.frame within a function (PR#9294)" that was posted on 2006/10/12. Duncan Murdoch kindly replied. I'm using the current version R 2.4.0, but the same issue exists. Just copy and paste the following code under R, and compare the output of f1() and f2() and the output of f3() and f4(). Does anybody have any idea? Thanks.

DeaR list, I happily use eigen() to compute the eigenvalues and eigenvectors of a fairly large matrix (200x200, say), but it seems over-killed as its rank is limited to typically 2 or 3. I sort of remember being taught that numerical techniques can find iteratively decreasing eigenvalues and corresponding orthogonal eigenvectors, which would provide a nice alternative (once I have the

Hi, My R version is 2.4.1 and I installed the the packages MASS and run command library("MASS"), however when I type ?rmvnorm, no help topic found, it worked before. I tried to ype ?rinvgamma from "MCMCpack" which works great. Anybody have idea? I also reinstalled MASS package, but when I try to type rmvnorm(), no functions found. Pat

I don't have any there; I suppose that is the problem. I did a locate *.xslt and nothing pertaining to icecast came up. I suppose I should grab the source and check it out. I installed from the rpm. Thanks, Richard Michael Smith wrote: >On Thursday 21 October 2004 14:50, Richard Morey wrote: > > >>Ok, I think I see. The xslt files are kind of a template which tells

I searched the web and the list archives for a solution to this, but didn't see anything, so here goes. I'm new to tcltk. I'm trying to change the contents of a tkentry widget when a button is pressed. Once I get that working, the widget will be read only to the user. Here is some toy code: ############### require(tcltk) thisEnv=environment() tt<-tktoplevel() Name <-