[EMAIL PROTECTED] wrote: > Following up to some extent on Friday's discussion regarding the > 'validation' of R, could I ask the list group's opinion on possible > advantages of R over Splus from a pharma/devices perspective? I wish to > exclude the obvious price difference, which doesn’t seem to carry as much > weight as I would have thought. Besides, I have noticed many former Splus > users gravitating towards R, and I suspect that the reasons are not purely > economic. > > I can think of a few advantages of Splus: > 1. SeqTrial (of course that means more $) > 2. Tech support > 3. The warm fuzzies that management seems to get from proprietary software > > I can also think of a few advantages of R: > 1. Based on my personal experiences, simulations requiring a lot of looping > seem to run faster. > 2. R interfaces with BUGS, for example through BRUGS. > 3. The wonderful help list! > > As always, I am speaking for myself and not necessarily for Edwards > Lifesciences. > > Regards, > -Cody > > Cody Hamilton, PhD > Edwards Lifesciences > [[alternative HTML version deleted]]
A big one for us is plotmath (for clinical trial reports we put a lot of greek letters and subscripts on plots), and later we will consider migrating a lot of our stuff to the ggplot package which I don't think is available in S-Plus. Lexical scoping is another advantage of R as is the ability to reference files on the internet. Frank > > > > ------------------------------------------------------------------------ > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. -- Frank E Harrell Jr Professor and Chair School of Medicine Department of Biostatistics Vanderbilt University ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.