similar to: Splus equivalent of reshape in R

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 friends - this is a very simple question - I have a data frame 'data.frame': 87 obs. of 3 variables: $ ID : int 1 1 1 2 2 2 3 3 3 4 ... $ prep : num 1.18 1.38 1.34 1.93 2.38 2.24 1.17 1.13 1.21 1.89 ... $ postp: num 0.63 0.71 0.75 1.01 1.12 1.07 0.87 0.64 0.7 0.8 ... - 29 persons (ID) each measured three times before and after an intervention: prep and postp - I need

Dear R-users moving from Splus to R (under Windows), I notice that command "srt" within a plot in the original Splus code is ignored by R. For example, if a plot something and then include the line of code axis(1, at=Time, labels=Text, srt=45, adj=1) the srt=45 command within the axis() command fails to draw Text at 45 degrees on the x-axis in R but it works properly in Splus. I will

Dear R-Help, I know that R already includes conditioning plots (two variables/factors) but is there any intention to incorporate an equivalent of Trellis (Splus) multi-conditional plots in R ? Thanks, Carlos. -------------- next part -------------- An HTML attachment was scrubbed... URL: https://stat.ethz.ch/pipermail/r-help/attachments/20000314/af50b46f/attachment.html

Hi, I'm trying to reshape my data set from wide to tall format for multilevel modeling. Unfortunately, the function I typically use (make.univ from the multilevel package) does not appear to work with unbalanced data frames, which is what I'm dealing with. Below is an example of the columns of a data frame similar to what I'm working with: ID a1 a2 a4 b2 b3 b4 b5 b6 Below

Hi, Is there a equivalent of the function "eboulis()" (which is a new funtion on Splus) on R? Otherwise, with which function can we see the best number of cluster we have to choose? Thanks in advance, Nicolas BOUGET

In 2004 there was this R-Help posting from Jan 2004: http://finzi.psych.upenn.edu/R/Rhelp02a/archive/33097.html R equivalent of Splus peaks() function? The peaks function there has worked well for me on a couple of projects, but some code using "peaks" failed today, which had worked fine in the past. I was looking for a peak in a test case that was a sine curve over one

Hello experts, Sorry for posting the SPlus related question here.. I have not found any solution yet after some attempts and hence, sending it to a wider spectrum of users! I was successful in processing files uing R's XML librariy. Thank you, Rxperts! I know there are libraries like XML and SPXML available in S-Plus. Could anyone please share examples of reading an xml file and save the

I'm trying to get a translation of some Splus code going. My problem is with the S-plus get.message() function not existing in R. Is there a replacement or alternative? ErrorHandler.func<-function() { cat("app.terminated\n"); cat(paste("err.fatal",get.message(),"\n",sep="")); dump.calls(); } options(error=ErrorHandler.func)

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

Mark Leeds <mleeds at mlp.com> wrote (to S-News): > does anyone know the R equivalent of the SPlus rowVars function ? Andy Liaw <andy_liaw at merck.com> replied: > More seriously, I seem to recall David Brahms at one time had created an R > package with these dimensional summary statistics, using C code. (And I > pointed him to the `two-pass' algorithm for variance.)

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 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