similar to: Octaudio - audio editor with embedded GNU Octave

On 5/6/19 7:47 AM, Dirk Eddelbuettel wrote: > > On 5 May 2019 at 10:47, Andrew Janke wrote: > | I'm interested in porting the R example datasets package to GNU Octave > | and Matlab. Would you have objections to my doing so? > > You don't even have to ask... > > [...] > > | Since R's datasets package is GPL, I think I'd be within my rights to > |

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

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

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

Hi, I thought I'd post this simple function I wrote, just in case other users also have Octave data files that they'd like to read into R. (Octave is a matlab-like language, see www.octave.org for details.) Any comments/suggestions appreciated. Stephen read.oct.file <- function(filename) { ## Read in an Octave ASCII data file (as created by "save -ascii" in ## Octave

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

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

Dear all, a Shogun 0.7.1 is out and available at http://www.shogun-toolbox.org which contains one new feature that might be of interest to R users. The eierlegendewollmilchsau interface. In case you don't know what this term stands for use google images :-) It is one file that will interface shogun to octave,r,python,matlab. It provides commands to run code in foreign languages: Example:

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

I just looked at the data at the URL you posted and it looks like it consists of all the points in a rectangular grid. When you triangulate a rectangle it is arbitrary whether you use the SW-NE or the SE-NW diagonal and that looks like the only difference between the various algorithms. Bill Dunlap TIBCO Software wdunlap tibco.com On Thu, Jan 25, 2018 at 5:14 AM, Yuen, Kam <k.yuen at

Dear R makers and users. I summarize answers to my question. Thanks for your help. The conclusion seems to be that, in terms of performance with large datasets, Matlab=Octave > R > Splus5.1 > Splus5.0 but Matlab/Octave lack many of the stat functions of R/S, and, R does not have as many time-series functions as S+ (but see last message to r-announce by adrian.trapletti at

"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

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

Hello, I'd like to translate de code below, write in octave, to R. I'm learning to operate R a few time ago, and an example of translation will be useful for me. This code is my lectures in an undergraduate course of statistical computing. echo off; k=0; while (k<>1) n = input('a prime: '); D = 2; r = n - D * floor((n/D)); while((D <= sqrt(n) & (r <>

Oddly enough, there's a report on slashdot today, that Matlab doesn't have the code for 64 bit math, bu that "Octave, the free Matlab clone" does. <http://tech.slashdot.org/article.pl?sid=10/05/02/2038255> mark

Is it possible to convert a data table in "R" to an octave scale (as done, for example, in the MVSP multivariate stats program)? I work with tables of word or category frequencies across a number of texts or text segments, e.g.: Token sect_1 sect_2 sect_3 sect_4 sect_5 sect_6 sect_7 sect_8 sect_9 sect_10 sect_11 sect_12 sect_13 sect_14 sect_15 sect_16 sect_17 sect_18 sect_19 sect_20

Hi All, if memory serves me well I recall some paper comparing the relative success in getting mainstream acceptance (as mainstream as statistics can be) of both R and Octave. I remember vaguely that the fact the development strategies (core team vs one main developer) played a major role in the relative success of the two programs. I tried to find this paper, but my goggle skills are failing

[ 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,

Apologies for cross-posting ... This project is looking for a maintainer. To quote from the Goose web site: "Goose is a LGPLed C++ library dedicated to statistical computation. The two design goals of this project are: To create a useful and complete system that takes advantage of C++'s features to improve the clarity of statistical code and that is easier to use for programmers. To

Dirk's mail to r-devel bounced because of his peculiar return address. He asked me to forward this for him. P.S. I have tried building R with atlas2 on a Debian GNU/Linux 2.2 system but I have not yet managed to out-fox the configure script to get it to use the desired shared object library. -- Douglas Bates bates@stat.wisc.edu Statistics Department