similar to: BLAS or ATLAS?

Dear developeRs, I'm trying to build R (2.7.1, on an x86_64 running Linux, but I believe I have observed this on x86 and with earlier versions of R as well) using external BLAS and LAPACK libraries _and_ generating libR.so, libRblas.so and libRlapack.so. Without --enable-BLAS-shlib, configure is able to find and use the external LAPACK library: ./configure \

NO Hi. I'm not sure if this is an R-help or R-devel problem, so I'm starting here in the hope that someone can help (and willing to go to the other list if it's more appropriate). I think I am following all of the instructions in the various manuals, but clearly I am missing something. I have an Intel EM64T Dell with 2 dual-core Xeon processors running Red Hat EL5. I would

Dear R friends My goal is to eliminate this specific group(1) if the # of NAs in this group greater than 50%(specifically say greater than 3). Would you please show me how to do it. I have a sample data as following: Thanks a lot. Kevin Lin y group f1 f2 f3 30 NA 1 1 1 1 27 NA 1 1 2 2 48 NA 1 2 1 2 40 -0.6066416 1 2 2 1 24

Hi all, I'm trying to build R from subversion with MKL 10.0.2 on Ubuntu. I tried: ./configure --with-blas='-L/opt/intel/mkl/10.0.2.018/lib/em64t -lmkl -lguide' --with-lapack='/opt/intel/mkl/10.0.2.018/lib/em64t -lmkl -lmkl_lapack' --enable-R-shlib and got: R is now configured for x86_64-unknown-linux-gnu Source directory: . Installation directory: /usr/local

Hi all, I'm trying to build R from subversion with MKL 10.0.2 on Ubuntu. I tried: ./configure --with-blas='-L/opt/intel/mkl/10.0.2.018/lib/em64t -lmkl -lguide' --with-lapack='/opt/intel/mkl/10.0.2.018/lib/em64t -lmkl -lmkl_lapack' --enable-R-shlib and got: R is now configured for x86_64-unknown-linux-gnu Source directory: . Installation directory: /usr/local

I have problems building R 2.11.1 with an external BLAS. I've tried several with several libraries: # ACML: export LD_LIBRARY_PATH=/site/VERSIONS/acml-3.6.0/gfortran64_int64/lib BLAS=--with-blas="-L/site/VERSIONS/acml-3.6.0/gfortran64_int64/lib -lacml" LAPACK=--with-lapack # MKL 11: BLAS=--with-blas="-L/site/VERSIONS/intel-11.1/mkl/lib/em64t -lmkl_gf_lp64 -lmkl_sequential

Hi, I'm trying to follow the R-admin instructions for using MKL10 as the external BLAS compiling R-2.6.2 under Linux on a RH EL head node of a cluster. The configure process seems to have problems when it checks for dgemm in the BLAS. I'm using configure as: ./configure CC=icc F77=ifort --with-lapack="$MKL" --with-blas="$MKL" where $MKL is defined as in R-admin

I would like to build R and packages with the Intel 10.1 compilers in RHEL4. Using the flags below, I can successfully build R using a vanilla ./configure, but when I install new packages they build with gcc. My sysadmin suggested adding the flags to ./configure as illustrated below, but then the R build blows up with the config tail output that follows far below. It looks like gcc is still being

I have what R seems to consider a very large dataset, a 12MB text file of lat,long,and height values, 130,000 rows to be exact. Here's what I get: Thomas Colson North Carolina State University Department of Forestry and Environmental Resources (919) 673 8023 tom_colson at ncsu.edu Calendar: www4.ncsu.edu/~tpcolson

Guys, I'm using a Linux PC (Pentium IV, Mandrake 10.1) and I've just tried to compile the new R-2.1.0 release with both gcc/g77 (3.4.1) and icc/ifort (8.1). Of course everything went fine with the GNU compilers. After checking the archives of the mailing list I tried compiling with the Intel compilers using the following options: CFLAGS = '-O2 -mp -prec_div' CXXFLAGS =

Hello. I am a Linux neophyte and know almost nothing ?about compiling, so I would appreciate any help and advice y'all would care to offer. I am trying to compile the 64 bit version of R using a tuned ATLAS and LAPACK (ATLAS 3.9.24). I am running Ubunto 10.04 LTS (through wubi, FWIW). The ATLAS and LAPACK files (atlas.so, f77blas.so, lapack.so, and cblas.so) are sitting in the folder

Full_Name: Reinhold Bader Version: 2.1.0 OS: SLES 9 Submission from: (NULL) (129.187.48.1) I tried to build R using the Intel compilers (icc, ifort) and the Math Kernel Libraries for BLAS/LAPACK Optimizations used were -O3, and the FPICFLAGS="-fpic" was exported. The build failed with the following error message: ... dumping R code in package 'methods' Saving namespace image

>From the following: basin.map <- readAsciiGrid("c:/temp/area.asc", colname="area") I have a SpatialGridDataFrame which has the x and y cordinate of a cell, and the drainage area of that cell. There are many cells with a low drainage area (in my case, 33000 with an area of 37.16) and one cell with the highest drainage area (again, in my case, a drainage area of of

From: Matt Fleming <matt at console-pimps.org> Uncovered a bug in avr32 signal handling, might come handy in testing other archs signal. Signed-off-by: Matt Fleming <matt at console-pimps.org> Signed-off-by: maximilian attems <max at stro.at> --- Seen on lmkl, any objections to add your test to klibc: http://git.kernel.org/?p=libs/klibc/klibc.git;a=summary We know archs were

Hi, I've collected quite a bit of elevation data (LIDAR elevation points) and am looking for a suitable platform to do analysis and modeling on it. The data is sitting in an Oracle database, one table, 200 million rows of x,y, and z. I'm trying to figure out what hardware resources we need to reserve in order to run 64 BIT R for this size data. Here's my question: Is the 64 BIT

Dear helpers, I am trying to create a library which uses some Fortran source files and Lapack and Blas subroutines. The Fortran source files from the original author contain subroutines isamax.f, sgefa.f and sgesl.f, which are part of BLAS subroutines on my Linux computer, but maybe different (old) versions. So in addition to these subroutines, there are other Lapack and Blas subroutines

> I would appreciate any insights over compiling R 3.4 with Intel MKL -- I have been successful until R 3.3.3 but now it stops complaining about pcre though it worked without Intel MKL as follows, I successfully built R-rc_2017-04-19_r72555.tar.gz with icc & MKL on centos 7 with this: # https://software.intel.com/en-us/articles/build-r-301-with-intel-c-compiler-and-intel-mkl-on-linux#

I'm not sure I'm barking up the right tree here, but would I need to make use of groups to plot two separate datasets within ONE panel in xyplot? The desired end result is a single xy plot of two separate (but similar in values and ranges). Full code follows, xyplot code at bottom #########Determine Frequencies ##########coastal_slope #needs the maptools package to read ESRI grid

Hello, everybody, Happy New Year! I am a graduate student from Concordia University. I meet a problem when I am working on my thesis. I hope I will get help from you. I have a mathematical model which was already implemented by using R language. However, part of this model includes fixed point iteration algorithm and calculation of large linear equations which n will get to 5000. Because of

Hi, I don't know if I'm sending this to the right place but I've looked throught tens and tens of topics on http://tolstoy.newcastle.edu.au/ and finally found that email address where I can maybe find some help. Well my main goal is to get to use the lapack library within my R package (which can be done using calls from C). But in order to do this I have to create a file src/Makevars