similar to: R 2.7.2 kernlab issues

I am currently running dovecot-1.1.beta6 (at least beta5 also had the problem) Retrieving some messages via IMAP gets them truncated and it also happens with retrieving attachments (message is HTML part of multipart-alternative, attachments are at least some PDF files). A user reported she is rather sure one of the messages was ok, before moving it to some other folder. In the filesystem the

I am fitting logistic regression models, by defining my own link function, and would like to get AICc values. Using the glm command gives a value for AIC, but I haven't been able to get R to convert that to AICc. Is there a code that has already been written for this? Right now I am just putting the AIC values into an excel spreadsheet and calculating AICc, likelihood, and AIC

Hello all, When attempting a classification tree using mvpart, I get the following error: > thesis2.mvp=mvpart(bat_sp~., data=alltrees.df) Error in all(keep) : unused argument(s) (c(TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE,

It looks as if installing R under Ubuntu 8.10 is going to be much more complicated than I thought it was going to be. I hadn't realized that it would depend on installing so many other packages (about 23, it seems), many of which also have their own dependencies. So I wondered whether all of these are really essential, and whether there is a single package anywhere that includes them all for

Hi, I've been working with R for a couple of years, and I've been able to get most of the things done that I needed (sometimes in a roundabout way). A few experienced statisticians told me that R is best for interactive data analysis, but for large-scale computations, one needs something else. I understand that this all depends on what you are trying to accomplish, and R offers many ways

Hi folks, if you want to use MKL (the fast BLAS I have tested on my Thinkpad T410) with the R 2.14.0 built as Debian/Ubuntu packages available on CRAN mirror, the following tricks may works for without some known side-effects (likes openmp breaking issues), you may try to build your own libblas.so.3gf.0 with following command: $ gfortran -L/opt/intel/lib/intel64 -liomp5

I feel like Marlon Brando in "On the Waterfront" where he's told "It's not your night, kid", except for me it has been the last two months trying to debug memory problems. Now I can't even install an old version of this package on a netbook running the Ubuntu 10.10 netbook remix because it can't find the libraries libf77blas and libatlas. I have even gone to

Hi, Since upgrading to version 2.11.0~20100402-1, starting R fails with: /usr/lib64/R/bin/exec/R: error while loading shared libraries: libblas.so.3gf: cannot open shared object file: No such file or directory Is this occurring to others on sid? -- Seb

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

I am not sure if this is an R development problem or not. I am starting with completely clean OS and and installing the latest version of R without trying to anything special but I am having trouble with the LAPACK library linking when I try to build packages that require them. I thought perhaps my problem may be if interest here. I just dumped Vista off a laptop formatted the disk and

My IT people have set up R on a a Kubuntu box with an RWkard front end.? I have OpenBLAS set up as a shared BLAS but I'm not sure how to get R to see it.? A.3.1 of the installation docs talks about it but I'm not clear if I need a option on my startup line or if I need to find a config file.? The BLAS is is in: ? /usr/lib/openblas-base ? on my machine. I'm not sure how to confirm that

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

Rhelpers: I recently installed the 64-bit version of R on my Debian system, and afterwards was asked if it was compiled using ATLAS. Is there a way to test to see if R is using ATLAS? --j

Hi I just read the thread on gotoBLAS, as well as the excellent vignette of gcbd. I still have some confusion and would like to ask very basic questions, hope I am not taking too much of your time. The point that retained my attention was the question of using implicit (multi-threaded blas) versus explicit (parallel code) optimisation. As I understood, the ideal would be to use a

Hola Tengo el siguiente problema: Estoy trabajando con una serie de tiempo que contiene 48 datos, en el intervalo entre un dato y otro es de 30 minutos. ¿Como puedo hacer para que cada dato de la serie me lo reconozca en hora y minuto?. Saludos El 23 de septiembre de 2012 12:17, <r-help-es-request@r-project.org>escribió: > Envíe los mensajes para la lista R-help-es a >

I just upgraded to R 2.7.2 (from 2.7.1) this morning (Ubuntu amd64 platform). Shortly afterwards, I ran into a problem loading the odesolve library, it could not find libRblas.so. I was able to fix this by rebuilding odesolve. Now, KernSmooth gives me the same problem... R> library(KernSmooth) Error in dyn.load(file, DLLpath = DLLpath, ...) : unable to load shared library

Hola. Tengo un problema con la instalación de paquetes en R. Por ejemplo, al intentar instalar el paquete "psych" o "abind" obtengo lo siguiente como resultado (ya sea que lo haga descargado el paquete, o ya solicitando que lo haga desde la red). Utilizo R 2.15.1 en Ubuntu 11.10 y apenas estoy iniciando en R. Necesito ayuda para resover estos problemas, pues necesito sobre todo

Hello!, this is my first post, I am a beginner user of ubuntu linux. I have a problem installing packages from CRAN repositories, I mean using the command install.packages(). I followed the instructions from this site http://cran.r-project.org/index.html. I know that I need the ubuntu package r-base-dev to install packages with that command. I run in a terminal the following commands:

I've attempted to use the optimized GotoBLAS2 library with a freshly compiled R-2.11.1 patched on 64-bit Ubuntu 10.4. (See details below). When I run this version of R, the timings are not different than the original install, and only one core is used in test computations. Can someone point out my error? Thanks. --Dale Details ... I'm running the 64-bit version of Ubuntu 10.04 on my 2

I just upgraded to Ubuntu 8.10 (i386) from 8.04. After the upgrade, I ran update.packages(.libPaths()[1]) in R to get the packages installed from source up to date too. Unfortunately, two packages could not be updated: mclust and mboost. In both cases, the error I got mentioned lf77blas. Here's the output for mboost: * Installing *source* package 'mboost' ... ** libs gcc -std=gnu99