search for: dgecon

...near the bottom it fails building lapack.so gcc -shared -L/usr/local/lib64 -o lapack.so Lapack.lo -llapack -lblas -lg2c -lm -lgcc_s /usr/lib64/gcc-lib/x86_64-suse-linux/3.3.5/../../../../x86_64-suse-linux/bin/ld: /usr/lib64/gcc-lib/x86_64-suse-linux/3.3.5/../../../../lib64/liblapack.a(dgecon.i): relocation R_X86_64_32 against `a local symbol' can not be used when making a shared object; recompile with -fPIC /usr/lib64/gcc-lib/x86_64-suse-linux/3.3.5/../../../../lib64/liblapack.a: could not read symbols: Bad value The 'recompile with -fPIC' is bullsh*t. The problem is...

...ectory `/usr/local/src/R-2.1.0/src/modules/lapack' gcc -shared -L/usr/local/lib -o lapack.so Lapack.lo -llapack -lblas -lg2c -lm -lgcc_s /usr/lib64/gcc-lib/x86_64-suse-linux/3.3.4/../../../../x86_64-suse-linux/bin/ld: /usr/lib64/gcc-lib/x86_64-suse-linux/3.3.4/../../../../lib64/liblapack.a(dgecon.i): relocation R_X86_64_32 against `a local symbol' can not be used when making a shared object; recompile with -fPIC /usr/lib64/gcc-lib/x86_64-suse-linux/3.3.4/../../../../lib64/liblapack.a: could not read symbols: Bad value collect2: ld returned 1 exit status make[4]: *** [lapack.so] Error...

hi all, I want to get a cumsum according to the order of some variable. However, it doesnt' work. For example, ********************** test<-data.frame(cbind(x=c(3,5,2,6,7),y=c(8,1,4,9,0))) test[order(test$x),]$sumy<-cumsum(test[order(test$x),]$y) ********************** R complians Warning message: In `[<-.data.frame`(`*tmp*`, order(test$x), , value = list(x = c(2, : provided 3

hi all, Assume I have data like data<-rbind(c(1,2),c(1,3),c(2,1),c(3,2),c(3,4)) I want to get some matrix like 1,2,3 2,NA,NA 3,2,4 I'm using by mat<-matrix(NA,3,3) by(data,data[,1],mat[data[,1],]<-c(data[,2])) but it doesn't work. Any ideas? thanks, cowboy

[ If this is considered off-topic please let me know in private mail. ] With the current version of the glibc library in Debian's "testing" and "unstable" distributions, ldconfig now loads the ATLAS optimised BLAS without any user intervention beyond installation of the Atlas and R or Octave packages. ATLAS can lead to very dramatic speed increases (up to a factor of ten,

Dear Rlisters, I'm writing to ask how to manipulate a matrix or dataframe in a specific way. To elaborate, let's consider an example. Assume we have the following 3 by 4 matrix A with elements either 0 or 1, 0 1 1 0 1 0 1 1 0 0 0 1 >From the original matrix A, I'd like to generate a new matrix B satisfing 1) B is initially set to be equal to A, and then 2) Each row of B