similar to: LOGICAL arguments in FORTRAN code

Hi, I'm using the package quadprog to solve the following quadratic programming problem. I want to minimize the function (b_1-b_2)^2+(b_3-b_4)^2 by the following constraints b_i, i=1,...,4: b_1+b_3=1 b_2+b_4=1 0.1<=b_1<=0.2 0.2<=b_2<=0.4 0.8<=b_3<=0.9 0.6<=b_4<=0.8 In my opinion the solution should be b_1=b_2=0.2 und b_3=b_4=0.8. Unfortunately R doesn't find

I am reading the manual sections illustrating how to call a Fortran subroutine from R. I feel uneasy at the explicit statement about ".Fortran" interface working with Fortran 77. I would like to call a Fortran-90 subroutine from my R script. Is that supported at all ? Thank you, Maura tutti i telefonini TIM! [[alternative HTML version deleted]]

Dear list, I am trying to follow an example that estimates a 2x2 markov transition matrix across several periods from aggregate data using restricted least squares. I seem to be making headway using solve.QP(quadprog) as the unrestricted solution matches the example I am following, and I can specify simple equality and inequality constraints. However, I cannot correctly specify a constraint

Hi everybody, I'm using Windows XP Prof, R 2.5.1 and a Pentium 4 Processor. Now, I want to solve a quadratic optimization program (Portfolio Selection) with the quadprog package I want to minimize (\omega'%*%\Sigma%*%\omega) Subject to (1) \iota' %*% \omega = 1 (full investment) (2) R'%*%\omega = \mu (predefined expectation value) (3) \omega \ge 0 (no short sales). Where

Hello r-devel, When compiling Fortran code containing BLAS functions and calling it using dyn.load, I am getting incorrect results. A small example with which I can reproduce the problem is below. I am running on OSX Mavericks (upgraded R, Xcode, etc per instructions on this list), but I do not think it is related since the check on my "blupsurv" package on r-forge seems to be showing

Dear R-helpers, apologies if this is somewhere in a manual, I have not been able to find anything relevant. I run Windows Vista. I have some Fortran code in a subroutine, and have no problem calling this from R with .Fortran, compiling the code either with 'R CMD SHLIB' or independently with gfortran. But is it possible to have more than one subroutine in my source file, one depending

I forgot to attach the problem data, 'quadprog.Rdata' file, in my prior email. I want to report a following error with quadprog. The solve.QP function finds a solution to the problem below that violates the last equality constraint. I tried to solve the same problem using ipop from kernlab package and get the solution in which all equality constraints are enforced. I also tried an old

Hi, I am using solve.QP (from quadprog) to solve a standard quadratic programming problem: min_w -0.5*w'Qw st ... I would like solve.QP to do two things: 1) to start the optimization from a user-supplied initial condition; i.e., from a vector w_0 that satisfies the constraints, and 2) to return the values of the lagrange multiplieres associated with the constraints. I did not find an obvious

Is it possible to have a slightly more elaborate description, such as: BackwardCompatibleTo: x.x-x and if the new version is _not_ backward compatible, this would be the current version number? Just my $0.02... Andy -----Original Message----- From: Torsten Hothorn [mailto:Torsten.Hothorn@rzmail.uni-erlangen.de] Sent: Monday, October 28, 2002 7:25 AM To: ripley@stats.ox.ac.uk Cc:

Hello, I am trying to call a FORTRAN subroutine from R. The Fortran code is @: http://lib.stat.cmu.edu/apstat/206 It performs a bivariate isotonic regression on a rectangular grid (m X n) matrix. I used the g77 compiler and successfully created a dll file and it also loads successfully from R. But somehow the programs fails to run properly. (I do get the correct result when I compile the

Hi, I'm quite new at R and I haven't found the answer to my question anywhere on the net, so either it is trivial or not documented. So, bare with be. I am using the quadprog package and its solve.QP routine to solve and quadratic programming problem with inconsistent constraints, which obviously doesn't work since the constraint matrix doesn't have full rank. A way to solve this

G'day all, I noticed the following (new) behaviour of R 2.12.0, running on Kubuntu 10.10, when installed with sub-architectures: When I run "R CMD INSTALL" or "R CMD check" on the source directory of a package that contains C or FORTRAN code, R creates sub-directories src-32/ and src-64/ that seem to be copies of the src/ subdirectory plus the compiled objects. These

Hi, I have not been able to use R in my macbook pro. I am getting the following error message every time i try to install a package * installing *source* package ?Hmisc? ... ** package ?Hmisc? successfully unpacked and MD5 sums checked ** libs *** arch - i386 sh: make: command not found ERROR: compilation failed for package ?Hmisc? * removing ?/Users/ravshonbek/Library/R/2.15/library/Hmisc? *

Forgot to send one copy to R help. Sorry Megh Dal <megh700004@yahoo.com> wrote: Date: Wed, 7 May 2008 02:45:09 -0700 (PDT) From: Megh Dal <megh700004@yahoo.com> Subject: Re: [R] Solution of function To: Berwin A Turlach <berwin@maths.uwa.edu.au> Hi Berwin, Thanks for having look on my problem. However on ipop() function I see following: ipop solves the quadratic

Ravi Varadhan and I have been looking at UCMINF to try to identify why it gives occasional (but not reproducible) errors, seemingly on Windows only. There is some suspicion that its use of DBLEPR for finessing the Fortran WRITE() statements may be to blame. While I can find DBLEPR in Venables and Ripley, it doesn't get much mention after about 2000 in the archives, though it is in the R FAQ

Ravi Varadhan and I have been looking at UCMINF to try to identify why it gives occasional (but not reproducible) errors, seemingly on Windows only. There is some suspicion that its use of DBLEPR for finessing the Fortran WRITE() statements may be to blame. While I can find DBLEPR in Venables and Ripley, it doesn't get much mention after about 2000 in the archives, though it is in the R FAQ

I wonder whether R has methods for constrained fitting of linear models. I am trying fm<-lm(y~x+I(x^2), data=dat) which most of the time gives indeed the coefficients of an inverted parabola. I know in advance that it has to be an inverted parabola with the maximum constrained to positive (or zero) values of x. The help pages for lm do not contain any info on constrained fitting. Does anyone

Hello, I am trying to call the BLAS Level1 function zdotc from R via a .C call like this: #include "R.h" #include "R_ext/BLAS.h" void testzdotc() { Rcomplex zx[3], zy[3], ret_val; zx[0].r = 1.0; zx[0].i = 0.0; zx[1].r = 2.0; zx[0].i = 0.0; zx[2].r = 3.0; zx[0].i = 0.0; zy[0].r = 1.0; zy[0].i = 0.0; zy[1].r = 2.0; zy[0].i = 0.0; zy[2].r = 3.0;

G'day Duncan, On Tue, 12 Jan 2016 07:32:05 -0500 Duncan Murdoch <murdoch.duncan at gmail.com> wrote: > On 11/01/2016 11:59 PM, Berwin A Turlach wrote: > > G'day all, > > > > In Chapter 1.4 (Writing package vignettes) the Writing R Extensions > > manual states: > > > > By default @code{R CMD build} will run @code{Sweave} on all > >

On Tue, 27 Feb 2024 13:51:25 -0800 Jeff Newmiller via R-help <r-help at r-project.org> wrote: > The fundamental data type in Matlab is a matrix... they don't have > vectors, they have Nx1 matrices and 1xM matrices. Also known as column vectors and row vectors. :) > Vectors don't have any concept of "row" vs. "column". They do in (numerical) linear