similar to: Re: R or Splus

It's been suggested I use R, I suppose because my employer is too skint to pay for a copy of Splus. But.... it doesn't seem to be stable. I was trying to do some ordinary regression and stepping through a model. I was trying to set up a model ('kitchen_sink') in which to put all my model parameters. Then I wanted to use step() to see what it would reduce the model to. I

> > However... I could become an R convert if I'm told it's > > > > a) mind-bogglingly simple to install on Win Nt > > there are firm limits to my geek credentials > > b) can handle cluster analysis with 2000 records (mclust, preferred, > > although I'd take kmeans if nec'y). Splus 5.0 on the > > Manchester Cray has been falling

Hi -- subject says all. I just want the code for that function, which I guess was in Venables and Ripley as early as 1994. Well, and for any of the sub-functions that glm.nb calls. I can't install the entire MASS library. If the code for just glm.nb (again, don't want to touch the MASS library, last time I tried to install it was a complete nightmare and fiasco) is somewhere on a

Hello out there, in their "R Complements" to Modern Applied Statistics W. Venables and B. Ripley say that there is a lack of time series related functions in R compared to S plus. Looking at CRAN I didn't find much, too. As I have to learn something about +-basic ts analysis, e.g. spectral analysis, I would like to know whether somebody has developed a "unpublished" time

Hi, all. Does anyone have an equivalent to Splus "peaks", which finds local maxima (with locality defined by a parameter "span")? I thought I'd check whether anyone has done it already before trying to put something together myself. Thanks, Matt Wiener -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

We've been working on making it easier to write packages that work in both R and Splus. One issue is that R and Splus use different internal representations of integers and this makes a difference on their 64-bit versions: R uses ints (32 bits on 32-bit and 64-bit versions of R) and Splus uses longs (32 bits on 32-bit Splus and 64 bits on 64-bit Splus). The obvious ways to deal with the

Hello, I am looking for an explanation and/or fix for a discrepancy in the behaviour of the R lm.influence() function [ version R 1.5.0 (2002-04-29) ] and the same function in Splus [ Splus version 5.1 release 1, running on SGI IRIX 6.2]. The discrepancy is of concern because I am migrating some Splus scripts to R and need to ensure consistency of results. Specifically, when I fit a glm()

Hi all I have a couple of obscure questions for R/Splus experts (which unfortunately isn't me!) I am trying to compute Bayes Factors using some Splus code of Raftery in Gilks et al (1996). Only problem is 1) R doesn't seem to have a robust covariance (cov.mve) which I suspect I need rather than a non-robust classical estimate 2) Splus has cov.mve BUT dgamma in Splus doesn't have a

Full_Name: Ernesto Jardim Version: 1.2.2 OS: SuSE Linux 6.4 Submission from: (NULL) (193.137.98.92) I wanted to import an array, dim=c(28,12,17), from splus into R.On splus I did dump(c("array"),file="dump.out) I checked and Splus could source it. Than, in R I tryied to source it with: source("dump.out") and got and error message: > source("dump.out")

The source of the incompatibility: In S-PLUS 6.2: > methods("unique") splus splus menu splus "unique.data.frame" "unique.default" "unique.name" "unique.rowcol.names" In R-1.9.1: > methods("unique") [1] unique.array unique.data.frame unique.default unique.matrix

Hi All, I just used "dump" on Splus to transfer a pile of survival objects from Splus 3.4 on Solaris 7 to R 0.63.3 on Intel. The only trick is that survival objects contain an element holding the original call that generated the object. When Splus writes these out, it doesn't mark them in any way, so when R tries to read them in, it ends up trying to reevaluate the call. Not

Hi All, I just used "dump" on Splus to transfer a pile of survival objects from Splus 3.4 on Solaris 7 to R 0.63.3 on Intel. The only trick is that survival objects contain an element holding the original call that generated the object. When Splus writes these out, it doesn't mark them in any way, so when R tries to read them in, it ends up trying to reevaluate the call. Not

Hi, I've looked through the archives and seen several posts discussing technical differences between R and S(plus). It appears to me that R can likely functionally replace Splus for my situation, but I'm more interested in looking at the risks and benefits of moving from Splus to R from a (project) management point of view. Background (a bit wordy, I'm afraid): -

Hello R/Splus users.. I am posting in R discussion group in hope of wider response compared to what I received from Splus user groups.... Was wondering if there is any function available in Splus 8.2 that is equivalent to "reshape" of R? Below is a sample dataset. Size [both rows and columns) of the dataset may vary X1 Y1 Y2 Y3 0.25 40 38 22 0.5 44 41

Hello there, I spent all day yesterday trying to get a small data set from Splus into R, no luck! Both, Splus and R, are run on a 64-bit RedHat Linux machine, the versions of the softwares are 64-bit and are as what follows: Splus: TIBCO Software Inc. Confidential Information Copyright (c) 1988-2008 TIBCO Software Inc. ALL RIGHTS RESERVED. TIBCO Spotfire S+ Version 8.1.1 for Linux 2.6.9-34.EL,

Hi, Is there any difference in the gam() function in R and Splus? I just tried to do an Ace Plot (plotting the result of the gam() ) on a dataset. R gave me four (the data set has one response and four explanatory variables) ace plot with perfectly straight lines. I kind of felt that it is highly unlikely, so I tried it in Splus. Using the exact commands Splus gave me four completely

Hi For bureaucratic reasons beyond my control I need to rewrite an R function (for producing operating characteristic curves) as an Splus function ( version 6 , windows XP ). The R function makes extensive use of the fact that the student's t distribution function pt() has a non-centrality parameter built in ... sadly that parameter is not present in the Splus pt() function .

I'm trying to port some routines from S to R. The code includes some fortran stuff that calls lapack. In the past in similar situations, but without any lapack calls, I've had success using simply, as in the V&R R-complements, R SHLIB -o rq.so *.f then in R dyn.load("rq.so") But now when the code is called from R, R crashes and I get a message

I've recently installed R for RH5.0 Linux and been considering moving existing work from Splus (Windows, 4.5). Also installed the win95 R, but this doesn't seem to work as well, and in any case the idea is to move toward Linux. 1 I attach and detach directories freely and often in Splus. Is it anticipated that it will be possible to do this in R in the future? 2 The ascii representation

XLSolutions Corporation (www.xlsolutions-corp.com) is proud to announce: (1) Introduction to R/S+ programming: Microarrays Analysis and Bioconductor *** San Francisco / July 17-18, 2006 *** *** Chicago / July 24-25, 2006 *** *** Baltimore / July 27-28, 2006 *** *** Raleigh / July 17-18, 2006 *** ***