similar to: Problem with differences between S+ and R in parsing output tables with $

To R-wizards: Thank you for your quick an insightful responses. I now have R running a translated version of S+ code for power calculations for non-normal data. This is from the Michael Crawley's new book Statistical Computing--An Introduction to Data Analysis using S-Plus. Peter Dalgaard corrected me on the issue of the $ operator not being a parser. It sure looked like an advanced Regex

I would like to plot and unplot a line to a graph using R's line command. This would allow for sequentially trying different plotted functions for a visual fit. Is there a way to do this? Rex

Hi, I guess the answer is negative but I thought I would ask just the same: is it possible to use any of the S+ toolboxes (ARCH and wavelets, more particularly) with R? Thanks, Olivier Lefevre Union Bank of Switzerland New York, NY PS: Please cc me any reply as I am not on the list (at least not yet).

Dear Mr. Cleland, SEM-ueser, R-User, ... there isn't s-plus or R (a GNU-free version of the programming language S) code for structural equation modelling. I always wondered why. I personally think the language S, with the implementations S+ and R, is a good-perhaps the best-environment for statistical analyses. Why? It is object orientated, logical, etc. For example: the code for least

We are looking for an Analytics Consultant to work closely with our TIBCO Spotfire account management and implementation teams as well as our development team to provide analytics expertise within a pre and post sales capacity, proof-of-concept, customer implementation, methodology development and code development to sharpen our current tool kit to name a few. This position will require some

Just found because an old (written for S+) function of mine did label plots wrongly with R. Example --- inspired from example(qqnorm) --- data(precip) qqnorm(precip, ylab = "Precipitation [in/yr] ...") qqnorm(precip, ylab = "Precipitation [in/yr] ...", datax = TRUE) this is all "fine" -- `datax' is a switch that just switches the axes but keeps the

Hello All: In R 1.2.0, one can easily change characters in a string using, for example, the following command, gsub("-"," ",c("1-7-1997","12-21-1997")) [1] "1 7 1997" "12 21 1997" Is there a similar command with S+ 2000? Thank you, ANDREW -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help

Well, R is not S+ nor SPSS. Although it is sort of similar to S+ in terms of how you use it... You can get it from http://cran.r-project.org/ To know more about what it really is, you can get my PowerPoint presentation from: http://www.stat.auckland.ac.nz/~kwan022/pub/R/Introduction/ or and article I wrote from: http://www.stat.auckland.ac.nz/~kwan022/pub/SDK/SAD/Journal/ If you're a

I'm just reading Modern Applied Statistics with S, 4th Ed., Venables and Ribley I'm typing in their examples in both R and S+. I need insight in the difference in the class() statement shown in Chap. 2. Example from book: > names(powers.of.pi) <- -2:2 > powers.of.pi -2 -1 0 1 2 0.1013212 0.3183099 1.0000000 3.1415927 9.8696044 >

This is not a criticism. I'm just curious. Is there an effort to keep R comparable to S+? Or are the two languages diverging? I am doing what probably legions have done before me, and legions will after me...using R on examples from text books written with S+ code. Most of the time everything appears to be equivalent. And then there are amazing divergences in commands. For instance: S:

Hi, I've got the R library "mgcv" for GAM written by Simon Wood which works well in many instances. However, over the years I got attached to the S+ implementation of GAM which allows loess smoothing in more than 1 dimension as well as spline smoothing. Has anyone ported the S+ GAM library to R? Regards, Doug Beare. Fisheries Research Services, Marine Laboratory, Victoria Road,

Our January-February 2008 R/S+ course schedule is now available. Please check out this link for additional information and direct enquiries to Sue Turner [1]sue at xlsolutions-corp.com Phone: 206 686 1578 Can't see your city? Please email us! [2]www.xlsolutions-corp.com/courselist.htm (1) R/S System: Advanced Programming *** San Francisco / January 24-25, 2008

Our June-July 2008 R/S+ course schedule is now available. Please check out this link for additional information and direct enquiries to Sue Turner sue at xlsolutions-corp.com Phone: 206 686 1578 Can't see your city? Please email us! www.xlsolutions-corp.com/courselist.htm (1) R/S System: Advanced Programming *** San Francisco / July 28-29, 2008 *** *** Seattle / July 28-29, 2008

TIBCO Software Inc. today launched TIBCO Spotfire 3.1, the latest version of its in-memory analytics platform, making predictive analytics based on R & S+ accessible within Spotfire's visual user experience. With this release, R & S+ users will be able to share and deploy their scripts through the Spotfire platform, making advanced analytics accessible to Business Analysts. While R

Hi, SolutionMetrics is presenting R and S+ courses in Melbourne & Sydney - November 2012. Introduction to R (1 Day) Introduction to R, Data Import/Export, Data Manipulation, Graphics, Basic Statistical models, writing your own simple functions, efficient programming, avoiding repetitive typing/clicking & file management. More Info<http://bit.ly/VCb1SZ> Date: 19 Nov, 2012 -

Dear R Developers, I should have had the Design library running in R by now but have kept putting off changing some calls to LINPACK routines to use those builtin to R. Specifically I call dqrsl1 and dqr. Would it be an easy task to put those in the next release of R? If not I'll finally bite the bullet and get back into reading LINPACK documentation (which I have but haven't examined

Hi, (apologies for cross-posting) SolutionMetrics is presenting Introductory & Intermediate R and S+ courses in Brisbane, Melbourne & Sydney - March & April 2013. S+ FinMetrics course in Sydney - June 2013. More info below. Course Schedule - Click Here<http://bit.ly/13lJ4ag> To book, please email enquiries@solutionmetrics.com.au<mailto:enquiries@solutionmetrics.com.au>

Dear all, First of all - thanks to the R-users who replied my previous mail "Selecting Best Regression Equation". However, seems i've got some other problems now - My data in c:\leafbrn.txt file is- -------------------------------------- i x1 x2 x3 y 1 3.05 1.45 5.67 0.34 2 4.22 1.35 4.86 0.11 3 3.34 0.26 4.19 0.38 4 3.77 0.23 4.42 0.68 5 3.52 1.10 3.17 0.18 6 3.54 0.76 2.76

Dear R-developers, I just realized that rank() behaves inconsistent if combining one of na.last in {TRUE|FALSE} with a ties.method in {"average"|"random"|"max"|"min"}. The documentation suggests that e.g. with na.last=TRUE NAs are treated like the last (=highest) value, which obviously is not the case: > rank(c(1,2,2,NA,NA), na.last = TRUE, ties.method

Our March-April 2008 R/S+ course schedule is now available. Please check out this link for additional information and direct enquiries to Sue Turner sue at xlsolutions-corp.com Phone: 206 686 1578 ---------- Can't see your city? Please email us! ---------- -------- Ask for Group Discount ------- www.xlsolutions-corp.com/courselist.htm (1) R/S System: Advanced