similar to: Matrix with random number

Hi!!! It would like to know if it exists a form to use the functions to generate variates in FORTRAN with the same easiness I use that them in C? Or not? If yes. They would have some example? I would like to use the functions rbeta, rlnorm and others! Sorry my english..rsrsrs Thanks!!!              Fábio Mathias Corrêa    University Federal of the Lavras - Brazil Veja quais são os

How to set the nlme() function to return the answer without the intercept parametrization? #========================================================================================= library(nlme) Soybean[1:3, ] (fm1Soy.lis <- nlsList(weight ~ SSlogis(Time, Asym, xmid, scal),                        data = Soybean)) (fm1Soy.nlme <- nlme(fm1Soy.lis)) fm2Soy.nlme <- update(fm1Soy.nlme,

Hello, I am trying to get a package to pass R CMD check on an iMac running Mac OS X. When the package is named safeBinaryRegression I get the following warning from R CMD check: * checking whether the name space can be loaded with stated dependencies ... WARNING Error in dyn.load(file, DLLpath = DLLpath, ...) : function 'make_lp' not provided by package 'lpSolveAPI'

Hi, I'm trying to understand some details about an example maintened in [1]. According that link, I have total.data as a data set (am I right?). But I don't understand how is built that table. I saved the dataset in a file, with dput(), and had something like this: structure(list(df.all = structure(list(V1 = structure(c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L,

Hello, I just tried configuring R to use architecture-dependent subdirs $ r_arch=x86_64 ./configure --prefix=/u/smat/konis/testdir on a Debain Squeeze box $ uname -a Linux smapc007 2.6.32-5-686 #1 SMP Sat Sep 18 02:14:45 UTC 2010 i686 GNU/Linux After building and installing, the Rconfig.h ended up in .../lib/R/include/x86_64 but R.h still includes it as #include <Rconfig.h>

Hello, I want to use the %ProgramFiles% variable in a Sys.setenv (R 2.7.2, Windows) but it always seems to get handled literally. For instance, in cmd.exe I get what I want C:\Documents and Settings\user>echo %ProgramFiles% C:\Program Files but in R > system("echo %ProgramFiles%") %ProgramFiles% nope. Is there a way to use %ProgramFIles% or get the corresponding

I am writing a function in fortran 95, but the intrinsic function MATMUL is not working properly. Here's an example. SUBROUTINE mymult(x,y,res,m,n) IMPLICIT NONE INTEGER :: m,n REAL :: x, y, res DIMENSION :: x(m,n), y(n,m), res(m,m) res = MATMUL(x,y) END SUBROUTINE mymult R CMD SHLIB mat.f95 In R: dyn.load("mat.so") x <-

Hi, I'm using R 7.0 under Linux as a programming interface to Fortran (g77 v0.5.24). Basically, what I want to do is to call a fortran subroutine of mine which performs MCMC computations. Apparently I'm getting into memory management problems. To track the problem I wrote the following small Fortran subroutine (saved as test.f) : subroutine test(n,p) implicit none

Hello, I'm finding problems with BackEdgeTaken count calculation in even simple fortran loops with gfortran-4.6 + DragonEgg 3.0. Even for simple double loops like this one: program test2 integer i,j,k dimension k(100,100) do j=1,100 do i=1,100 k(i,j) = i enddo enddo write(*,*) k(1,30) end make the ScalarEvolution

I'm implementing a function to compute the moore-penrose inverse, using a code from the article: Fast Computation of Moore-Penrose Inverse Matrices. Neural Information Processing - Letters and Reviews. Vol.8, No.2, August 2005 However, the R presents an error message when I use the geninv. The odd thing is that the error occurs for some arrays, however they have the same size. And the R

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Hi, I've read up on readBin() and chapter 6 in the R Data Import/Export manual, but I still can't read a binary file. Here is how the creator of the file described the code that would be needed in Fortran: "Every record has a return in fortran. The length of each record is nx*ny*4. To read you would use the following: nlayx = nx*ny*4 do iz=1,nz,4 read(binary file) var(1:nlayx)

Attached 2012/2/8 Marcello Maggioni <hayarms at gmail.com>: > Mmm, sorry, the patch I posted crashes if ExitBr is null (which it may > be ...) , this one should be ok (and passess all the ScalarEvolution > tests in LLVM): > > diff --git a/lib/Analysis/ScalarEvolution.cpp b/lib/Analysis/ScalarEvolution.cpp > index daf7742..b10fab2 100644 > ---

Hi Duncan, A DragonEgg/GCC-related question: do you know where these strange FRAME tokens originate from (e.g. %struct.FRAME.matmul)? Compiling simple Fortran code with DragonEgg: > cat matmul.f90 subroutine matmul(nx, ny, nz) implicit none integer :: nx, ny, nz real, dimension(nx, ny) :: A real, dimension(ny, nz) :: B real, dimension(nx, nz) :: C integer :: i, j, k real,

I recently installed R 2.6 on Linux/SuSE When I was running the previous version on Windows I was able to save my plots from a script. There was a command "savePlot" that is no more retrieved in the last version. In this scenario, how can I tell R to save the currently displayed plot to a file ? The "save" command is generic and do not know how to tell R that the plot is to be

Well, it wasn't intended as a "real" patch to be included , but more as a "proof of concept" for a solution. Do you think it is a valid solution and I'm correct in my assumption? If so then I'll clean up the patch and attach a testcase for inclusion. Thanks! Marcello 2012/2/9 Nick Lewycky <nlewycky at google.com>: > Your patch should include a testcase,

Hello, I have a code similar to the following: program test integer i, j, N real B(10) call bar(N, 8) N = N+1 do i = 1, N B(i) = (i+5)/(i+3) enddo j = N/2 N = N+7 call IMPORTANT_F(B, N, i, j) end program and I am trying to use dependence

This is the .ll for that graph (attached). I think I understand what you are saying. This particular testcase returns CNC not because the exit block doesn't have a unique predecessor, but because the unique predecessor (the inner loop block) has a successor that is inside the loop (in this case itself, because it's the inner loop block). That doesn't change, anyway, the assuption that

Mmm, sorry, the patch I posted crashes if ExitBr is null (which it may be ...) , this one should be ok (and passess all the ScalarEvolution tests in LLVM): diff --git a/lib/Analysis/ScalarEvolution.cpp b/lib/Analysis/ScalarEvolution.cpp index daf7742..b10fab2 100644 --- a/lib/Analysis/ScalarEvolution.cpp +++ b/lib/Analysis/ScalarEvolution.cpp @@ -4293,9 +4293,15 @@

Hello R-USERS, I think some people didn't understand my question. What I want is to use the training set to minimize the FALSE POSITIVE RATE. I think it is possible. I sacrifice ACCURACY to have less FALSE POSITIVES. I don't want a classifier result with 5% of FPR and, for example, 93% of ACCURACY. I want a 1% FPR sacrificing the 93% ACCURACY. Do you know how can I do this? I really