similar to: Non-free packages in CRAN

Naras, Thanks. I'm a bit confused, because Rmosek does not declare Matrix as a dependency: > tools::package_dependencies("Rmosek", which = "all")[[1L]] [1] "pkgbuild" nor does it contain code needing compilation: > packageDescription("Rmosek", fields="NeedsCompilation") [1] "no" Can you explain the

I'm sorry about the tone of my previous email. Let me try again in a cleaner way. The problem is: R or the organisation behind R via its infrastructure seems to be endorsing R-Forge, and R-Forge is hosting at least one project whose sole purpose is to link R with non-free software. This looks like endorsement of non-free software, which is contrary to the aims of the GNU project, of which R

Recently, a package for convex optimization was announced for Python, based upon the LP solver GLPK, the SDP solver in DSDP5, and the LP and QP solvers in MOSEK. I'm aware GLPK is available for R, but wondered if anyone had good packages for convex optimization along these lines for R. TIA.

My apologies, the data can now be found at: url <- "http://www.econ.uiuc.edu/~roger/research/ebayes/velo.d" x <- scan(url,skip = 1) If I could get each of the histograms to mimic what is produced by hist(x, 100, freq = FALSE) I?ve experimented with xlim, ylim, without success so far... url: www.econ.uiuc.edu/~roger Roger Koenker email rkoenker at uiuc.edu

Package Rmosek compiles fine using Matrix versions 1.6.2- but not with anything beyond Matrix 1.6.2.? (FYI, Rmosek provides R interfaces to the excellent MOSEK solver; academic licenses are free.) Here is the error message: rmsk_obj_matrices.cc:50:9: error: use of undeclared identifier 'Matrix_isclass_Csparse' ?? 50 |???? if (Matrix_isclass_Csparse(val)) { ????? |????????

Dear R developers, I'm an Octave developer in the process of implementing a single precision type in Octave and I have an issue with the NA value. The choice of NA value in Octave was made a few years back so that the high word of the NA value was 0x7ff00000 and the low word was 0x000007A2 for compatibility with R and to ease any possible issue with the exchange of data files between Octave

Hi, I'm afraid that the function read.octave from package "foreign" has some problems with the ASCII data format exported by new versions of Octave (later than 3.2.X). It fails even for a simple case as: [Octave code:] octave:1> x=1; octave:2> save -ascii testdata.mat x [Now in R:] > octavedata <- read.octave('testdata.mat') Mensajes de aviso perdidos In

Thank you. Guess it's a plausible explanation. > -----Original Message----- > From: Liaw, Andy [mailto:andy_liaw at merck.com] > Sent: Tuesday, December 03, 2002 08:05 AM > To: 'Chunlou Yung' > Subject: RE: [R] Plotting Speed: R vs Octave > > > If I'm not mistaken, Octave does not have its own graphics system, but > rather rely on gnuplot, which is

I'd echo a lot of what has been said about this by the folk who have been making R work so well. One of the main difficulties is that the environment of computations affects relative performance. e.g., what settings did a distro package builder choose. I note that my 3 GHz Dual Core machine running Ubuntu 8.04 gets octave 3.0.0 octave:6> tic; a = a + 1; toc Elapsed time is 0.120027

Hi Yabin, Octave uses an octave_value_list object to return multiple values so I don't think it has anything to do with the compiler. A sample function that can be dynamically linked with Octave and called from octave interpreter: #include <octave/oct.h> DEFUN_DLD (divmult, args, nargout, "") { octave_value_list retval; // do some computation to compute r0 and r1

I'm new to the list. I've used R and S-PLUS a bit for about 15 years but am now working to make R my main program for all numerical and statistical computing. I also use Octave for this kind of work and I recommend it (it is also under the GPL). Here's my question: In Octave I can write shell scripts in the Linux/UNIX environment that begin with a line like this...

Hi all, I have two new Centos 5.2 servers ("drizzle" and "fog"), both ROCKS headnodes installed from the same rolls. Identical `uname -a' output (2.6.18-92.1.13.el5, x86_64 etc), identical yum versions (Version: 3.2.8 Release: 9.el5.centos.1) with identical yum.conf files and identical repo files in /etc/yum.repos.d. To simplify things I've disabled all repos

Hi, I am trying to load into R a MATLAB format file (actually, as saved by octave). The file is about 300kB but R complains with a memory allocation error: > library(Rcompression) > library(R.matlab) Loading required package: R.oo Loading required package: R.methodsS3 R.methodsS3 v1.2.0 (2010-03-13) successfully loaded. See ?R.methodsS3 for help. R.oo v1.7.2 (2010-04-13) successfully

The problem: I would like to translate the Octave algorithm in griddata.m to R. Within the griddata algorithm calls are made to the Delaunay function. For the R translation I have found delaunayn within the "geometry" package and also the deldir package. Both do similar things but give slightly different results depending on the input. The question is, what is making the results for the

Hi, R Developers, I'm interested in porting the R example datasets package to GNU Octave and Matlab. Would you have objections to my doing so? This would involve transforming the example data and metadata into a format that Octave understands, and porting all of the datasets' Example code pieces to Octave M-code. (This would require no work on your part; it'd be my project.) I think

"The question is, what is making the results for the R packages different from each other?" There are literally thousands of R packages, contributed independently by thousands of people. There should be no expectation of consistency or for that matter, "correctness", among them. Caveat emptor. Only within the base R distribution, maintained and mostly written by the R Core

Hello All, This might seem elementary to everyone, but please bear with me. I've just spent some time fitting poly functions to time series data in R using lm() and predict(). I want to analyze the functions once I've fit them to the various data I'm studying. However, after pulling the first function into Octave (just by plotting the polynomial function using fplot() over

Dear R community A few weeks ago, I uploaded a small text file called R-and-octave.txt to the contributed docs section of CRAN. This file details octave/matlab commands and their (near) equivalents in R (Matlab is a widely-used high-level graphics/mathematics tool and octave a free clone). Someone has just pointed out to me that I never announced its existence to anyone, hence this email (I

Dear all, I want to compute the eigenvalues of a complex matrix for some statistics. Comparing it to its matlab/octave sibling, I don't get the same eigenvalues in R computing it from the exact same matrix. In R, I used eigen() and arpack() that give different eigenvalues. In matlab/octave I used eig() and eigs() that give out the same eigenvalues but different to the R ones. For real

trying to install octave from epel onto centos 5.2, and getting dependency errors. only place I could find this RPM was in epel, which I 'thought' ran on native rhel5/centos5 without requiring any other repos, but I guess I'm wrong?!? google tells me libhdf5 is some sot of 'heirarchial data format' library, whatever that means. # yum install octave Loading