I usually ran different statistical analysis in R with routines that use lapack like gam() lm(), etc but after several updates of libraries the following error appears: library(mgcv) This is mgcv 1.7-22. For overview type 'help("mgcv-package")'. model <- with(chlaR,gam(ClorMAX ~ s(DegDay_NM))) Error en eigen(St, symmetric = TRUE) : lapack routines cannot be loaded Adem?s: Mensajes de aviso perdidos In eigen(St, symmetric = TRUE) : unable to load shared object '/usr/lib/R/modules//lapack.so': /usr/lib/R/modules//lapack.so: undefined symbol: dpstrf_ model <- with(chlaR,lm(ClorMAX ~ DegDay_NM)) summary(model) Error en chol2inv(Qr$qr[p1, p1, drop = FALSE]) : lapack routines cannot be loaded The version information is: platform i686-pc-linux-gnu arch i686 os linux-gnu system i686, linux-gnu status major 2 minor 15.2 year 2012 month 10 day 26 svn rev 61015 language R I am using Ubuntu 12.04.1 LTS Any ideas?
On 11/23/2012 08:05 AM, arysar wrote:> I usually ran different statistical analysis in R with routines that > use lapack like gam() lm(), etc but after several updates of libraries > the following error appears: > > library(mgcv) > This is mgcv 1.7-22. For overview type 'help("mgcv-package")'. > > model <- with(chlaR,gam(ClorMAX ~ s(DegDay_NM))) > Error en eigen(St, symmetric = TRUE) : > lapack routines cannot be loaded > Adem?s: Mensajes de aviso perdidos > In eigen(St, symmetric = TRUE) : > unable to load shared object '/usr/lib/R/modules//lapack.so': > /usr/lib/R/modules//lapack.so: undefined symbol: dpstrf_ > > model <- with(chlaR,lm(ClorMAX ~ DegDay_NM)) > summary(model) > Error en chol2inv(Qr$qr[p1, p1, drop = FALSE]) : > lapack routines cannot be loaded >https://stat.ethz.ch/pipermail/r-help/2012-November/329946.html> The version information is: > > platform i686-pc-linux-gnu > arch i686 > os linux-gnu > system i686, linux-gnu > status > major 2 > minor 15.2 > year 2012 > month 10 > day 26 > svn rev 61015 > language R > > I am using Ubuntu 12.04.1 LTS > > Any ideas? > > ______________________________________________ > R-help at r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >-- Computational Biology / Fred Hutchinson Cancer Research Center 1100 Fairview Ave. N. PO Box 19024 Seattle, WA 98109 Location: Arnold Building M1 B861 Phone: (206) 667-2793
This was answered this week in https://stat.ethz.ch/pipermail/r-help/2012-November/329946.html On 23/11/2012 16:05, arysar wrote:> I usually ran different statistical analysis in R with routines that > use lapack like gam() lm(), etc but after several updates of libraries > the following error appears: > > library(mgcv) > This is mgcv 1.7-22. For overview type 'help("mgcv-package")'. > > model <- with(chlaR,gam(ClorMAX ~ s(DegDay_NM))) > Error en eigen(St, symmetric = TRUE) : > lapack routines cannot be loaded > Adem?s: Mensajes de aviso perdidos > In eigen(St, symmetric = TRUE) : > unable to load shared object '/usr/lib/R/modules//lapack.so': > /usr/lib/R/modules//lapack.so: undefined symbol: dpstrf_ > > model <- with(chlaR,lm(ClorMAX ~ DegDay_NM)) > summary(model) > Error en chol2inv(Qr$qr[p1, p1, drop = FALSE]) : > lapack routines cannot be loaded > > The version information is: > > platform i686-pc-linux-gnu > arch i686 > os linux-gnu > system i686, linux-gnu > status > major 2 > minor 15.2 > year 2012 > month 10 > day 26 > svn rev 61015 > language R > > I am using Ubuntu 12.04.1 LTS > > Any ideas? > > ______________________________________________ > R-help at r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >-- Brian D. Ripley, ripley at stats.ox.ac.uk Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595
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