similar to: Re: [S] Splus vs. R & Linux vs. Windows

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

I am one of only 5 or 6 people in my organization making the effort to include R/Splus as an analysis tool in everyday work - the rest of my colleagues use SAS exclusively. Today, one of them made the assertion that he believes the numerical algorithms in SAS are superior to those in Splus and R -- ie, optimization routines are faster in SAS, the SAS Institute has teams of excellent numerical

Anyone from Chicago area interested in this course? Please email XLSolutions so they can schedule it in Chicago. We ran out of travel budget in my company :( Date: Wed, 2 Aug 2006 13:20:23 -0700From: elvis@xlsolutions-corp.comSubject: [S] Course***Dr Frank Harrell's Regression Modeling Strategies in R/Splus course *** September 2006 near you (San Francisco, Washington DC, Atlanta)To:

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 .

For those of you who are interested, here's is the link: http://www.tuxedo.org/~esr/faqs/smart-questions.html (Sorry for x-posting... I thought it is relevant to both lists.) Andy > -----Original Message----- > From: Liaw, Andy [mailto:andy_liaw at merck.com] > Sent: Thursday, September 27, 2001 4:28 PM > To: 'Sinclair, Andrew (MIP London)'; 's-news' >

The original question is attached at the end of this message ... In the world of R the excellent mvtnorm package answers my original question and many more that I didn't know I needed to ask. In the world of Splus ( version 6 , Windows XP ) this link :- http://www.biostat.wustl.edu/archives/html/s-news/2002-11/msg00079.html which was provided by Dimitris Rizopoulos, is useful.

How can I access examples of trellis graphs in R? I'm especially interested in getting code for xyplot() examples. Failing a collection of examples in R, I see that under Splus there are numerous example.*() functions. I can access Splus with a command line but can't open a graphics window, so I can't to execute the example.*() functions. Is there a way I could get the associated

Hello, I learnt there's an advanced R/Splus course in Boston this january. Anyone got the announcement? please kindly forward it to me. Best, Eugene

Hi again Sam, Sorry for not replying sooner. I have been ignoring everything for a while to work on the AMMP analysis tool and the continuing saga of migrating the legacy AMMP data. Our consultant has written some programs that take a VERY long time to run :( Anyway, I now know Java and a certain amount of JSP. I hope to be able to get around to this soon. It is all a bit hard now with our

Win2k, R1.6.2. I've been using Splus 6.1 and wanted to try the same regression analysis in R. Using "names( blah.lm )" in R yields [1] "coefficients" "residuals" "effects" "rank" [5] "fitted.values" "assign" "qr" "df.residual" [9] "xlevels"

In Splus the code test.lm <- lm(y ~ x, data = test.data) plot(test.lm) generates a graphics window that contains multiple graph sheets that one may choose from via the "page" tabs at the bottom of the window. Is there a way to do this sort of thing in R? As another example, I have some repeated measures data with continuous outcomes and have been working with the nlme library in

XLSolutions Corporation (www.xlsolutions-corp.com) is proud to announce our September courses: (1) Regression Modeling Strategies in R/Splus --- by Prof Frank Harrell http://xlsolutions-corp.com/Rstats2.htm *** Washington DC, September 28-29, 2006 *** (2) R/Splus Advanced Programming --- by the R Development Core Team Guru!

> From: Gamal Abdel-Azim [mailto:gamal at crinet.com] > > While trying to expand the memory/object size in R, I noticed > that R might be using > only heap memory. Is this true? Are all objects in R created > in the heap not > allocated? It's not logical that this is the case!! Otherwise > the whole R project would > be a total waste of time and resources.

XLSolutions Corporation ([1]www.xlsolutions-corp.com) is proud to announce 2 courses in Seattle this June (Same week!). (1) R/Splus Advanced Programming *** Seattle/June 8-9, 2006 *** [2]http://www.xlsolutions-corp.com/Radv.htm (1) R/Splus Fundamentals and Programming Techniques *** San Francisco/ May 25-26, 2006***

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

Dear, R experts. I have two program codes, one is made by Splus and the other is made by transferring from Splus code. Because "nlminb" function in Splus is equivalent to "optim" in R, I expected to get exactly same result. But, sometime there is too large differece (greater than 2%) between two outputs. I looked two help files. According to those, in Splus, quasi-Newton

XLSolutions Corporation ([1]www.xlsolutions-corp.com) is proud to announce our*** R/S Advanced Programming ***courses in Seattle and San Francisco this summer by the R Development Core Team Guru! (1) R/Splus Advanced Programming *** Seattle/June 8-9, 2006 *** *** San Francisco / July 13-14, 2006 ***

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

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()

Apologies for the cross-posting, but I thought this snippet of info might be vaguely interesting to both lists. I did a ***brief*** search to see if this issue had previously been discussed and found nothing. So I thought I'd tell the list about a difference in behaviour between unique() in R and unique() in Splus which bit me just now. I was trying to convert a package from Splus to R and