similar to: lapack routines cannot be loaded

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:

Dear BioConductor and R fellow users I apologize in advance for double posting, but I am not sure which list would actually be best fit for this message. I am experiencing a weird error with my R installation on Ubuntu 10.04.4 (LTS) 64bit: When I run R on the terminal everything goes smoothly: $R R version 2.15.2 (2012-10-26) -- "Trick or Treat" Copyright (C) 2012 The R Foundation

Hi, I'm trying to use Frank Harrell's Design:::ols function to do regression of y (numeric) on the interaction of two factors (x1 and x2), but Lapack throws an error: > library(Design) ... > load(url("http://www.csse.unimelb.edu.au/~gabraham/x")) > ols(y ~ x1 * x2, data=x) Error in chol2inv(fit$qr$qr) : 'size' cannot exceed nrow(x) = 20 > traceback()

Dear all, OS: x86_64-suse-linux 9.2 CPU: Intel(R) Xeon(TM) CPU 3.20GHz R-version: R-2.1.0 I've started using a new Linux server, upgraded at the same time to R-2.1.0 (see above) and have problems with some elementary analysis that ran without a problem on my previous configuration. anova.glm gives the following error: Error in La.chol2inv(x, size) : lapack routines cannot be loaded This

Hi, I'm having problems using ACML with R. I made two changes in config.site by setting LDFLAGS="-L/opt/acml3.1.0/gnu64/lib" BLAS_LIBS="-lacml" ./config and make go through but when I try to use the lm() function, I get the error message Error in chol2inv(Qr$qr[p1, p1, drop = FALSE]) : lapack routines cannot be loaded In addition: Warning message: unable to load

With this example set.seed(123) A <- matrix(runif(40), nrow = 8) y <- 1:nrow(A) A.laqr <- qr(A, LAPACK=TRUE) both qr.qy(A.laqr,y) and qr.qty(A.laqr,y) give the respective error messages Error in qr.qy(A.laqr, y) : 'b' must be a numeric matrix Error in qr.qty(A.laqr, y) : 'b' must be a numeric matrix However when Lapack is not used as in A.liqr <- qr(A,

Dear list, I am sorry to bother you with this. I just upgraded yesterday to R 2.0.0 (using apt-get under Debian Sid), and now have problems running e.g., summary(lm(...)) the lm is calculated, but the summary statement gives me the following error: Error in La.chol2inv(x, size) : lapack routines cannot be loaded In addition: Warning message: unable to load shared library

The following snippet suggests that there is either a bug in qr(,LAPACK=T), or some bug in my understanding. Note that the detected rank is correct (= 2) using the default LINPACK qr, but incorrect (=3) using LAPACK. This is running on Linux Redhat 9.0, using the lapack library that comes with the Redhat distribution. I'm running R 1.7.1 compiled from the source. If the bug is in my

I encountered the following problem in R-2.4.0 for Windows binary downloaded from CRAN (data from R-help post by Ethan Johnsons). I was also using the contributed binary Rblas.dll for Intel P4 chip. The problem doesn't occur with the default Rblas.dll. x=c(3.05176E-05, 0.000457764, 0.003204346, 0.0138855, 0.04165649, 0.09164429, 0.1527405, 0.1963806, 0.1963806, 0.1527405, 0.09164429,

Hello. I am trying to invert a matrix, and I am finding that I can get different answers depending on whether I set LAPACK true or false using "qr". I had understood that LAPACK is, in general more robust and faster than LINPACK, so I am confused as to why I am getting what seems to be invalid answers. The matrix is ostensibly the Hessian for a function I am optimizing. I want to get

Full_Name: Ravi Varadhan Version: 2.8.1 OS: Windows Submission from: (NULL) (162.129.251.19) Inverting a matrix with solve(), but using LAPACK=TRUE, gives erroneous results: Here is an example: hilbert <- function(n) { i <- 1:n; 1 / outer(i - 1, i, "+") } h5 <- hilbert(5) hinv1 <- solve(qr(h5)) hinv2 <- solve(qr(h5, LAPACK=TRUE)) all.equal(hinv1, hinv2) #

The solve function in r-patched has been changed so that it applies a tolerance when using Lapack routines to calculate the inverse of a matrix or to solve a system of linear equations. A tolerance has always been used with the Linpack routines but not with the Lapack routines in versions 1.7.x and 1.8.0. (You can use the optional argument tol = 0 to override this check for computational

Hi, I think there is a problem with the LAPACK version of qr() in version 1.7.0. (version below). 1. The documentation states that LAPACK=TRUE is the default, but the code has LAPACK=FALSE. 2. With LAPACK=TRUE qr() is never pivoting, even in cases where it very clearly should be. e.g. set.seed(0) X<-matrix(rnorm(40),10,4);X[,1]<-X[,2] qrx<-qr(X,LAPACK=TRUE) qrx$pivot # note, no

Dear All, As suggested in the reply from Dirk Eddelbuettel to my post to R-dev I am reposting here as the problem still persists. Please see my post to R-dev under same heading for additional description if needed. In summary I am starting from a new installation of Ubuntu 10.10 as the single operating system on a reformatted disk with just the OS, ESS and emacs installed before installing R

Hi, While exploring how summary.lm generated its output I came across a section that left me puzzled. at around line 57 R <- chol2inv(Qr$qr[p1, p1, drop = FALSE]) se <- sqrt(diag(R) * resvar) I'm hoping somebody could explain the logic of these to steps or alternatively point me in the direction of a text that will explain these steps. In particular I'm puzzled

I just dumped Vista off a laptop and installed Ubuntu 10.10 (latest release) as the single operating system. I did all of the updates and then installed emacs and ess. Next I installed R by following the the usual instructions on the CRAN site. At this point all is working I am now in the process of installing the packages that I normally have installed. I am having a problem with the LAPACK

Good morning to all, I am encountering a blocking issue when using the function 'breackpoints' from package 'strucchange'. *Context:* I use a data frame, 248 observations of 5 variables, no NA. I compute a linear model, as y~x1+...+x4 x4 is a dummy variable (0 or 1). I want to check this model for structural changes. *Process & issues:* *First, I used function Fstats.* It

I have just installed R 1.9.1 on an old Sun Sparc with the following specs: version Machine hardware: sun4u OS version: 5.6 Processor type: sparc Hardware: SUNW,Ultra-4 The following components are installed on your system: Sun Visual WorkShop C++ 3.0 Sun WorkShop Compiler C 4.2 Sun WorkShop Compiler C++ 4.2 Sun WorkShop Tools.h++ 7.0

Hi, I'm relatively new to R on Ubuntu (moving from Windows), and I'm trying to get GotoBLAS2 working. I installed (from a CRAN mirror) the pre-built binaries of R (which, as far as I know, is compiled as a shared library) on Ubuntu 10.10 using apt-get install r-base r-base-dev I successfully built GotoBLAS2 from source, copied the library to /usr/lib and created s symbolic link from

Hi all, I managed to at least compile R-patched (2002-01-08) against MKL 5.1 (not beta). The release notes for MKL said that the libraries are threaded, and the test codes needed to be linked against the pthread library. Therefore I added -lpthread flag in config.site for R-patched, and the compile went through. However, when I did make check, it choked on a call to La.eigen, complaining that