similar to: Porting R example datasets to 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, 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

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

I don't mean to ruffle any feathers, but has this been properly resolved? It shows that a patch has been submitted to allow connections over TLS, and that the bug has been closed, but the solution supplied doesn't actually address the problem - running Samba in ads mode in a domain with ldap signing. We do not have the ability to change that setting in the policy. Thank you, Scott

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

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

"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

Dear list, I would like to produce a matrix of plots, where par() is reset after each plot (see below [simplified] example). When I use layout() to do so, I seem to also reset the layout. I have not been able to figure out how to prevent this from happening. Any help is greatly appreciated! Janke Example code: #Desired result is a layout of 2 plots: one red and one black layout(matrix(1:2,

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

Hello, I've been developing an octave based audio tool for some time. It can be especially useful for audio processing development and similar tasks. You can take a look at Octaudio on GitHub https://github.com/antonrunov/octaudio. I would appreciate any comments or suggestions. Thanks, Anton

Hi all, I know I'm probably stirring up a hornet's nest with this question/comment but I've spent the last few days working on a PHP-based class for the manager interface as we're preparing for a pretty big upgrade at our call center and I'm revamping all of the management apps I've written. I can connect to the manager interface and send query strings back and forth all

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 <>

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

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 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

Hello, I am switching from SPSS-Windows to R-Linux. My university is very SPSS-oriented so maybe that's the cause of my problems. I am a beginner in R and my assignments are SPSS-oriented, so I hope I don't annoy anyone with my questions... Right now I've got 2 problems: -I have to evaluate discriminant functions I have calculated with lda(MASS). I can't find a measure that

Here is my setup 7960(A)--Firewall/PAT--dsl---------Internet--------dsl--Firewall/NAT---7960(B) | | | | 7960(C)--NAT--cable----------------- -----dsl -- Asterisk (A) can communicate with (C) only when C is configured with canreinvite=no. The call gets dropped in few seconds if canreinvite is set to yes for C.