similar to: R vs octave development strategy (and success)

I have a two part question one about statistical theory and the other about implementations in R. Thank you for all help in advance. (1) Am I correct in understanding that Heteroscedasticity is a problem for Generalized Additive Models as it is for standard linear models? I am asking particularly about the GAMs as implemented in the mgcv package. Based upon my online search it seems that some

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

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

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

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 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

"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

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

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 <>

Does anyone have some nice ways of showing what's on CRAN? A time-series of the number of packages? A clustered graph of packages by keyword? I'm just after a more impressive way of saying "there's 2600 packages on CRAN" than saying that. Counts of lines of R and C/Fortran code would be interesting... The CRANtastic tag cloud is quite handy... Anything else? Barry

Hi Yabin, Instead of compile the LLVM IR to PTX asm string in a ScopPass, you can also the improve llc/lli or create new tools to support the code generation for Heterogeneous platforms[1], i.e. generate code for more than one target architecture at the same time. Something like this is not very complicated and had been implemented[2,3] by some people, but not available in LLVM mainstream.

Hi all, I am a phd student from Huazhong University of Sci&Tech, China. The following is my GSoC 2012 proposal. Comments are welcome! *Title: Automatic GPGPU Code Generation for LLVM* *Abstract* Very often, manually developing an GPGPU application is a time-consuming, complex, error-prone and iterative process. In this project, I propose to build an automatic GPGPU code generation framework

Hi all, I need a little help for construct an state's map on R. The first problem is to get the data. I have a datafile of longitude and latitude in the follow format: trajectory latitude longtude T -22.045618 -51.287056 T -22.067078 -51.265888 T -22.067039 -51.207249 T -22.059690 -48.089695 T -22.075529 -48.074608 T -22.072460 -48.044472 T -22.062767 -48.298473 T -22.077349

Hello, I tried this pseudo-generator style experiment (see below). The "<<-" operator assigns to in the calling environment which would be the environment of "getN". Yet when the function incr is returned, isn't this environment lost? Also the print displays GlobalEnv, yet the globalenv does not have any mention of startgiven. This code was inspired from and old

Hello, All: The vignette with the sos package used "upquote.sty", required for R Journal when it was published in 2009. Current CRAN policy disallows "upquote.sty", and I've so far not found a way to pass "R CMD check" with sos without upquote.sty. I changed sos.Rnw per an email exchange with Prof. Ripley without solving the problem; see below. The

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 > |

Hello. I have 5 measurement points, my dependent variable is ordinal (0 - 3), and I want to visualize my data. I'm pretty new to R. What I want is to find out whether people with different baseline covariates have different trajectories, so I want a plot with the means trajectory of my dependent variable (the individual points do not make a lot of sense in ordinal data) on each measurement

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: