similar to: Matlab vs. Octave

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

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, 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

Hola: Como dije ayer, ha coincidido que también me ha interesado esta cuestión. He dado un repaso a las opciones que habéis dispuesto y, si os parece, aquí expongo los resultados. El 20/11/13 09:33, Carlos Ortega escribió: > Más alternativas: > > http://stackoverflow.com/questions/5527145/convert-matlab-code-to-r El guión que ponen en la primera respuesta arroja resultados

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:

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, 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

A mí sí me funciona: - vas primero a la página http://baye.weebly.com/toolkit_extra.html (¿Has podido llegar aquí o el navegador te rechaza el enlace?) - buscas "MATLAB® to R Codes Translator" y con "Guardar como..." te bajas un ZIP donde está todo - si sólo quieres echar un vistazo al manual, buscas "Users Guide to MATLAB to R Translator.pdf" y con "Guardar

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

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

The e1071-group is developping a data exchange package based on XML, called StatDataML. Both read and write functionality is available for R/S and MATLAB/Octave. Now here is a snapshot from the "StatDataML for MATLAB/Octave"-package. It should work fine, but the installation procedure needs some improvement yet. I think the following will nevertheless make it run: 1. Get libxml 2.x

Hi to the list, I am trying to find a way to painlessly move structured data back and forth between R and Matlab (also Octave). For this purpose I found the R.matlab package great help. I wish to use a Matlab -v6 MAT file as an intermediary format, because it is well read by both Matlab and Octave. It is also well read by 'readMat' function in R.matlab package, but that is where I run

Hello, I am trying to import data from Matlab.. when i looked up R documentation, it says, package "e1071" have command (read.octave) to import data from octave. but when I tried to install package by using: install.packages("e1071"); I got the following message: ( BTW, my platform is linux version 2.4.18-3 my gcc is 2.96). * Installing *source* package 'e1071' ...

Hi, The department of economics at our university (Budapest) is planning a course on numerical methods in economics. They are trying to decide which software to use for that, and I would like to advocate R. The other alternative is Matlab. I have found comparisons in terms of computational time for matrix algebra, but I don't think that is relevant: the bottleneck for economists is usually

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

Existe el paquete RcppOctave http://cran.r-project.org/web/packages/RcppOctave/index.html que permite ejecutar código de Octave (que es un clon libre de Matlab) desde R. La viñeta del paquete trae muchos ejemplos. Un saludo, Carlos J. Gil Bellosta http://www.datanalytics.com El día 19 de noviembre de 2013 21:38, Dr. José A Betancourt Bethencourt <jbetancourt en iscmc.cmw.sld.cu>

Greetings: We are evaluating the performance of R matrix algebra es as we port a MATLAB R14 script into R. The MATLAB code basically evaluates the AX=B system on sparse matrices that result in output matrices of 100 to 1,000,000 rows/columns. Our R prototype script uses spase base matrices and the methods qr() and qr.coeff(). The following statements are called inside a doubly-nested loop: G

Hi everybody: Thanks for reading. I'm a Linux Debian Lenny user. I'm trying to install Matlab 5.3 R11 through wine-1.0.1-174-gc4039bd. The SETUP.EXE runs correctly. The problem is when I enter the PLP (Personal License Password) required. I'm sure that the PLP is correct, but "matlab says not". The message is: "The PLP you have entered is incorrect. Check your PLP

Is there any way to read these files (standard .mat files, created by matlab version 7 onwards are compressed)? I know that R.matlab doesn't read them (it even says in the file MatlabServer.m "Matlab v7 saves compressed files, which is not recognized by R.matlab's readMat()" (lines 47-8)). I know I should be able to make R call Matlab and transfer data (not that I managed to

Dear all, I have several files with Matlab code, which I am translating to R. For the zero-level approach, I took the very old shell script from R-help archives, which has made some obvious leg-work such as replacement of "=" with "<-". Now I am translating indexing, matrix operations and function call using this table http://37mm.no/mpy/octave-r.html The problem is, I