similar to: Re: Announce: RPy (R from Python)

Hello. I'm not a regular subscriber in this mailing list, but I think that this announce may interest somebody. Please, forgive me if this is the wrong place. Based on the code of RSPython, but modifying it a little, I wrote an interface for using R from Python. The main reason for writing it was to make it robust, in order to avoid segmentation faults. Also, it is (IMMO) a very

Hi All: Walter Moreira wrote a small extension module for using the R programming language from within Python. Tim Church's example at http://www.cmat.edu.uy/~walterm/rpy was so compelling, I could not resist installing it on my Linux Mandrake 8.1 box. But I ran into problems. I have installed on Mandrake 8.1 both python and R: R-base-1.4.1-1mdk.i586.rpm

The Gestalt System project aims to develop a free, Open Source, object-oriented software framework which makes use of other free, Open Source software tools for the purposes of managing, analysing, and reporting on quantitative data in a manner which is suited to modern, networked computing environments in which processor, memory, and storage resources are abundant but time is scarce and

I am trying to install Rpy to test it out as an R interface for a project that I am working on. However, I get the following error. Any clues as to what might be going on? I have alo tried RSPython, but I gave up due to errors. RSPython segfaults when started from R and gives an error message I can;t remember from python. Thanks, Brett >>> import rpy Traceback (most recent call

Hi, I'm planning to write some code in Python using R functions. I'm aware of the two R<->Python packages - Rpy and RSPython. Rpy seems easier to get up and running with, but does anybody have any comments regarding which would be a better system to work with in the long run? Thanks, ------------------------------------------------------------------- Rajarshi Guha <rxg218 at

A question for a (experienced) user of the RPython package on linux. I'm trying to call R from python on a linux (Suse 7.3) box. After installing R CMD INSTALL -c RSPython_0.5-2.tar.gz I start python and do: >>> import sys >>> sys.path.append('/usr/local/lib/R/library/RSPython') >>> sys.path.append('/usr/local/lib/R/library/RSPython/Python')

I am a long time user of R for financial time series analysis (xts, zoo, etc) and for my next project I am thinking of adding the Python language to the mix. The reason for adding Python is primarily its non-statistical capabilities. So my questions are what have people's experiences been with using interop between R and Python. I see there are two items, rPy and RSPython. It looks like rPy

>> Can some kind soul please give me a fool proof recipe for building R >> and RSPython so that it actually works? > I don't have a recipe, but one thought to help debug the process: Try > installing RPy [1]. RPy also provides access to R via Python and uses > the libR.so library. If you can install and "import rpy" without > problem then it must be

Dear list, Rpy is a python module that provides python interface to R. The following simple commands >>> from rpy import * >>> r.plot(0) is supposed to create a window that displays the result of plot(0). However, we observe that 1. Under *nix, rpy+R+python work as expected 2. Under windows, python + pythonWin32 (a python GUI provided by the pywin32 module), work as expected

Under RSPython and rpy, the regexec C function is returning nonsensical results leading to segmentation faults. This is happening in some situations under R 1.4.1 and (more often?) under R 1.5.0 on my Solaris 8 box. R 1.4.1 was compiled with gcc 2.95.2, and I've tried 1.5.0 with both gcc 2.95.2 and gcc 3.0.3. The error appears to be exactly the same under both python tools and both

Hello, My platform is SuSE 8.1. After downloading and unpacking R version 1.7 I tried building with shared libs enabled. (./configure --enabl-R-shlib). My goal is to use RSPython but I am now in my own private segmentation fault hell. The R build worked fine: make, make check, make install cool. The RSPython build worked fine. Thinking I'm good to go, I run python. But when I import RS

Hello, I don't know if this question ought to go here, or rather on R-devel, so please bear with me. I'm interfacing to R via RPy (rpy.sf.net) and an embedded Python interpreter. This is really quite convenient. I use this approach to calculate the correlation coefficient of 1 independent dataset (vector) with 4 dependent vectors. It'd be nice if that could be done in 4 parallel

Hello, I don't know if this question ought to go here, or rather on R-devel, so please bear with me. I'm interfacing to R via RPy (rpy.sf.net) and an embedded Python interpreter. This is really quite convenient. I use this approach to calculate the correlation coefficient of 1 independent dataset (vector) with 4 dependent vectors. It'd be nice if that could be done in 4 parallel

I have a GNU/Linux / Unix application in which I'd like to have an R process running in a persistant state, while receiving instructions (and data) from another process, and returning results to this process. My initial thoughts are to set something up with named pipes or such, but I believe that the R process will terminate when it reads EOF (^D) from the input pipe. The client process is

Thanks for your help Duncan. Your last comment helped me to figure out what FreeBSD was doing differently than Linux/Solaris. This fix worked on a machine with Python 2.1, R 1.3.1 and FreeBSD 4.1. Here are the details: The pthreads fix: I added '-lc_r' to the PKG_LIBS definition in src/Makevars.in. The FreeBSD 'man pthread' page suggests that adding -pthread to the gcc statement

printCoefmat(signif.legend =FALSE) does not work properly. The option "signif.legend = FALSE" is ignored as shown in the example below. cmat <- cbind(rnorm(3, 10), sqrt(rchisq(3, 12))) cmat <- cbind(cmat, cmat[,1]/cmat[,2]) cmat <- cbind(cmat, 2*pnorm(-cmat[,3])) colnames(cmat) <- c("Estimate", "Std.Err", "Z value", "Pr(>z)") #

Hi, I'm trying to install RSPython v0.5-4 on a debian machine (woody, testing) but am having the following problem. $R CMD INSTALL -c --library=/usr/lib/R/library RSPython_0.5-4.tar.gz 2>err But then... $python >> import RS Error in .PythonInit() : Error in Python call: values Error in library("RSPython") : .First.lib failed for 'RSPython' Traceback (most recent

Hello I can construct a correlation matrix from an (ordered) vector of correlation coefficients as follows: x <- c(0.1,0.2,0.3,0.4,0.5) n <- length(x) cmat <- diag(rep(0.5,n)) cmat[lower.tri(cmat,diag=0)] <- x cmat <- cmat+t(cmat) But how to do the reverse operation, i.e. produce x from cmat? Thanks for help, Serguei Kaniovski [[alternative HTML version deleted]]

In a package I've been developing for manipulating genetic data I discovered a problem when indexing into character arrays using NA's: Create a character matrix and a numeric matrix > cmat <- matrix( letters[1:4], ncol=2, nrow=2) > nmat <- matrix( 1:4, ncol=2, nrow=2) Create an index vector containing an NA value > indvec <- c(1,2,NA) Indexing works fine for both

Hello all R-helpers, I've performed an experiment to test for differential effects of elevated temperatures on three different groups of corals. I'm currently performing a cox proportional hazards regression with censoring on the survivorship (days to mortality) of each individual in the experiment with two factors: Temperature Treatment (2 levels: ambient and elevated) and