similar to: R v/s S-plus

Hi all, I am running R1.5.0 under Unix. I am repeating my earlier question with a few details added. I have the following tree fitted as the tree object 'my.tree': node), split, n, deviance, yval * denotes terminal node 1) root 5807 0.9998 0.0001722 2) V604 < 0.5 5798 0.0000 0.0000000 * 3) V604 > 0.5 9 0.8889 0.1111000 * And I have a data.frame called

Hi, I am using the scan function to read from a file. In general the syntax I am using is as follows: scan("myfile", list(a = "", b="", c="", d=""), sep=",") The file I am trying to read contains a #< in the 'd' field. When the file is read into an object, the d field comes as "" for that particular string. I

Full_Name: Saket Joshi Version: 1.5.0 OS: Solaris 5.8 Submission from: (NULL) (128.193.38.91) According to the documentation obtained by entering: help.search("gc"), the command gc() forces garbage collection and gives the memory usage statistics along with the trigger values in bytes also interpretted in megabytes. However when I ran gc(), the result was a list giving the memory usage

Hi all, I am running R1.5.0 under unix. I recently used the function 'predict.tree' to make predictions with a tree object and a dataframe of numeric items. The predict.tree internally, calls a function 'delete.response'. When I removed this function call from the source code of predict.tree, it ran 10 times faster without any differences in the result obtained. The

Hi all, I had asked a question a few days ago on this list. I did not receive an answer. Since it was important to me, I looked for the answer in some references but as I am not really a statistics guy, the jargon was overwhelming for me. I apologize if this question is too trivial. Here is the question again: I used the lm() function to fit a linear model to a set of items that I got from a

# R for Windows will not send your bug report automatically. # Please copy the bug report (after finishing it) to # your favorite email program and send it to # # r-bugs at r-project.org # ###################################################### The R documentation for "is.R" says "## 'which()' only exists in R:" This is no longer true. In S-Plus 8.0 >

[Sorry about the duplicate posting; this one comes from the correct address. Please respond to me with any questions about this -- David.] Dear R-help readers, As Insightful announced at the DSC2005 meeting in Seattle, the next release of S-PLUS will introduce a new package system. Our goal is to provide package authors the means to create cutting-edge statistical methods currently available

Hi all, I am running R1.5.0 on Unix. I fitted a tree model my.tree on some data my.data and the tree has only 2 leaves. Now I have some test data new.data When I run predict(my.tree, new.data) it does give a reasonable answer but it takes 60 to 90 seconds to come up with the answer. I had expected it to take far less than that considering that the predict function has just to traverse a tree

Hi all, I am using R1.5.0 under Unix, I have a couple of questions here. 1. My program is running out of memory. I am writing a program to grow a list of trees using rpart() on a subset of a large dataset(5807x693) with a different response for every tree. I saw that after each tree was constucted, 116 MB of data was being added to the Vcells. I have no idea what this data is. My dataset is

I have help files in several formats. Up until now I have converted nroff files to S-Plus 6 sgml and html files using Splus doc_to_S ... (creates .sgml file) Splus HINSTALL ... (creates .sgm and .html files) I maintain master help files in R .Rd files, and for some of my functions converting from .Rd to .sgm using R CMD Rdconv --type=Ssgm ... produces better .sgm files than beginning with

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

exportData(MU.Cost,paste("C:/RAUDSL/S",as.character(MU.Cost$Run.Id[1])," .",as.character(MU.Cost$MU.Id[1]),".MU.PRICE.OUTPUT.txt",sep=""),append = FALSE,type="ASCII",quote=FALSE) [[alternative HTML version deleted]]

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

Hello all, I'm looking for the R-equivalent of the S-option "Connect type: half horiz first". Link: http://miner.stern.nyu.edu/Splus/help/guihelp/__hhelp/connect_type.htm I'm plotting with type="s" or type="S"; this is giving me a stairstep starting, or ending with the value on the x-axis (as documented). But, I want the x-value in the middle of the step,

Saket Joshi asks: > -----Original Message----- > From: Saket Joshi [mailto:joshi at engr.orst.edu] > Sent: Monday, May 27, 2002 6:15 PM > To: r-help at stat.math.ethz.ch > Subject: [R] fitting a model for enumerated datatypes > > Hi, > > I have used the scan() function to read data from a file as follows: > > x <- scan("myfile",

This is a bug both in R and S-plus (in R it's "worse"), I think. Look at this : ma <- cbind(1,1:8); logi <- rep(c(T,F),4) ma[logi,] ##> [,1] [,2] ##> [1,] 1 1 ##> [2,] 1 3 ##> [3,] 1 5 ##> [4,] 1 7 ##-- now the same with [ , drop = FALSE] ## R (-0.50-a3) : ma[logi, drop = F] ##>> Error: invalid subscript type ##

I need arguments pro-S-PLUS and against SAS for a meeting I will have next week. S-Plus is (90 - 99)% compatible with R, so using S-Plus will make things much easier for everyone. But I can't use this argument. What other arguments could I use? Alberto Monteiro

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): -

I thought R users might be interested (surprised) to hear that R will have some competition on Linux now. Bill ---------- Forwarded message ---------- Date: Sun, 24 Jan 1999 01:37:15 GMT From: Cheryl Mauer <cmauer at statsci.com> Newsgroups: comp.os.linux.announce Subject: COMMERCIAL: S-PLUS Data Analysis Software now Available on Linux Followup-To: comp.os.linux.misc -----BEGIN PGP

Hi there, Just out of curious, is there any difference between loess() and lowess() in R (and Splus in fact). Which one is more often used? Thanks, Ko-Kang Wang ------------------------------------------------------------------------------ Ko-Kang Kevin Wang Statistical Analysis Division Leader Software Developers' Klub (SDK) University of Auckland New Zealand