[R-sig-eco] Error in La.svd(x, nu, nv) : error code 1 from Lapack routine 'dgesdd'

[Jari Oksanen]

We have had similar reports from many cases (for instance, from cca/rda functions in vegan). The problem is difficult to track. Cases that we have seen so far probably are problems in LAPACK library, and the kind of LAPACK used can depend on the version of R, version of LAPACK, compilers used, operating system and its version, computer hardware, phase of moon etc. Error code 1 from dgesdd should be a convergence problem.

With presence/absence data there may not be much you can with the data. With quantitative data, rescaling of data has been helpful, but hardly with p/a (Hellinger transformation will also change data properties and is not data neutral: division of subtraction with some constant is data neutral and helps sometimes, but hardly with p/a data).

The svd() function in R provides a R<1.7.0 compatibility option LINPACK = TRUE which has helped sometimes. We haven't added that as an option for svd() in cocorresp or vegan as it is documented only as a compatibility option for old R. However,  you can try editing the files to use LINPACK = TRUE to see if the problem vanishes (but NAMESPACE add some pain in using edited files).

HTH, Jari Oksanen 
________________________________________
From: r-sig-ecology-bounces at r-project.org [r-sig-ecology-bounces at r-project.org] on behalf of Duarte Viana [viana.sptd at gmail.com]
Sent: 14 May 2012 16:09
To: r-sig-ecology at r-project.org
Subject: [R-sig-eco] Error in La.svd(x, nu,     nv) : error code 1 from Lapack routine 'dgesdd'

Hello all,

When I perform a cross validation with the function "crossval" of the
package cocorresp (for a co-correspondence analysis), I get the
following error:

Error in La.svd(x, nu, nv) : error code 1 from Lapack routine 'dgesdd'

I think the problem is not in the function, as other people has had
the same error for other types of model (see, for example,
http://comments.gmane.org/gmane.comp.lang.r.ecology/2608). From this
and other posts, I suppose it is a convergence problem.

I am working with presence-absence species matrices, and the problem
persists even if I transform the matrices with Hellinger
transformation (although not at the same site).

Does anyone know how to solve, or go around, this problem?

Any advice would be most welcome.
Thanks,

Duarte

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