similar to: SUMMARY: Comparison of SAS & R/Splus

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

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

Dear R friends A while a go I sent an email to the epi-list and later to the help-list and no answer could fully illuminate my question. So Im trying again with a more specific matter. Im trying to work on a script (function) to analyse data from a diagnostic test meta-analysis with random effects. This was first described by an author using SAS witn PROC NLMIXED. Im not an expert in R and much

I'm trying to run a zero-inflated regression for a continuous response variable in R. I'm aware of a gamlss implementation, but I'd really like to try out this algorithm by Dale McLerran that is conceptually a bit more straightforward. Unfortunately, the code is in SAS and I'm not sure how to re-write it for something like nlme (if at all possible - with conditions etc). Does

About the Company: Edwards Lifesciences (NYSE: EW) is a global leader in products and technologies to treat advanced cardiovascular disease, the global leader in acute hemodynamic monitoring and the number-one heart valve company in the world. Headquartered in Irvine, California, Edwards has more than 5,000 employees worldwide, selling medical technologies in more than 100 countries. Edwards

Folks: I thought the following excerpt from Bruce McCullough's post would be a good candidate for the R fortunes package -- except that it's about Excel, not R! So I nominate it... but leave it to others to say whether it's really "qualified" to be nominated. ---- "The idea that the Excel solver "has a good reputation for being fast and accurate" does not

NIST maintains a repository of Statistical Reference Datasets at http://www.itl.nist.gov/div898/strd/. I have been working through the datasets to compare R's results to their references with the hope that if all works well, this could become a validation package. All the linear regression datasets give results with some degree of accuracy except one. The NIST model includes 11 parameters,

Dear Rusers, I have used R,S-PLUS and SAS to analyze the sample data "bacteria" in MASS package. Their results are listed below. I have three questions, anybody can give me possible answers? Q1:From the results, we see that R get 'NAs'for AIC,BIC and logLik, while S-PLUS8.0 gave the exact values for them. Why? I had thought that R should give the same results as SPLUS here.

Greetings R-help! I'm fairly new to R and am trying to expand my knowledge beyond using R for simple summary statistics and basic tests. To that end I am attempting to write an interactive R-script that will perform a general rational function fit to a given dataset based on the example given at http://www.itl.nist.gov/div898/handbook/pmd/section6/pmd64.htm. The problem that I seem to have

The idea that the Excel solver "has a good reputation for being fast and accurate" does not withstand an examination of the Excel solver's ability to solve the StRD nls test problems. Solver's ability is abysmal. 13 of 27 "answers" have zero accurate digits, and three more have fewer than two accurate digits -- and this is after tuning the solver to get a good

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!

Do Users of Nonlinear Mixed Effects Models Know Whether Their Software Really Works? Lesaffre et. al. (Appl. Statist. (2001) 50, Part3, pp 325-335) analyzed some simple clinical trials data using a logistic random effects model. Several packages and methods MIXOR, SAS NLMIXED were employed. They reported obtaining very different parameter estimates and P

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***

I'd just like to put in my two bob's worth: The ***only*** thing for which I prefer SAS to R/Splus, but it's a very important thing, is the analysis of mixed linear models. One can do the same analyses in both languages. The difference is that the SAS syntax for specifying such a model, and its output, is comprehensible to the human mind, which is what I'm equipped with. The

Statistical Programmer (SAS or Splus/R) About the Company: Edwards Lifesciences (NYSE: EW) is a global leader in products and technologies to treat advanced cardiovascular disease, the global leader in acute hemodynamic monitoring and the number-one heart valve company in the world. Headquartered in Irvine, California, Edwards has more than 5,000 employees'' worldwide, selling medical

Hello, I am trying to test the precision of R on datasets from The Statistical Reference Datasets Project http://www.itl.nist.gov/div898/strd/index.html and I don't manage to understand how R is storing its results. For example, I calculate a mean on the michelso dataset (100 values) and find: > m=mean(michel) > m V1 299.8524 > print(m,digits=15) V1 299.8524

Hi everybody: I?m trying to rewrite some routines originally written for SAS?s PROC NLMIXED into LME4's glmer. These examples came from a paper by Nelson et al. (Use of the Probability Integral Transformation to Fit Nonlinear Mixed-Models with Nonnormal Random Effects - 2006). Firstly the authors fit a Poisson model with canonical link and a single normal random effect bi ~ N(0;Sigma^2).The

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Hello all - As I progress in R I am trying to automate functions I would have normally farmed out to Excel, SPSS or Statistica. Single factor anova is one of them. For example, a dataset from NIST StRD (http://www.itl.nist.gov/div898/strd/anova/AtmWtAg.html) has two groups: 1 2 107.8681568 107.8681079 107.8681465 107.8681344

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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 ***