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 Nicholas ______________________________________________ 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.