On 6/15/07, Nicholas Lewin-Koh <[EMAIL PROTECTED]> wrote: > Hi, > I just saw this thread. This issue, and the larger scale issue of open > source in industry > is being addressed. One has to realize that the behemoth that is the > clinical aperatus > of the pharma industry is very conservative and very slow to change. In > many cases > switching to R would meean changing a great many processes all based on > legacy code. One > of the big issues is that the industry demands consistency not > necessarily correctness. > > All that said there are a great many areas where R could be used that > would not impact > regulatory submission, data security etc. Many in pharma are quietly > working on this, > but steps are small and incremental. Development takes time in industry > because of the amount of > documentation necessary. All this impacts the "free" nature of R and > cost and risk (From the industries > perspective) need to be justified.
> Probably when the statistical community is using Z big pharma will be > ready to use > R. %P I think you mean A, not Z. First there was S, then there was R. ______________________________________________ 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.