John Logsdon <j.logsdon <at> quantex-research.com> writes: > > I am trying to get a measure of how R compares in usage as a statistical > platform compared to other software. I would guess it is the most widely > used among statisticians at least by virtue of it being open source. > > But is there any study to which I can refer? By asking this list I am not > exactly adopting a rigorous approach! >
Not sure what your definition of usage is in this instance (user-base v's usability v's reliability/accuracy) but the following may be of interest... Kellie B. Keeling and Robert J. Pavur, A comparative study of the reliability of nine statistical software packages, Computational Statistics & Data Analysis, Volume 51, Issue 8, 1 May 2007, Pages 3811-3831. (http://www.sciencedirect.com/science/article/B6V8V-4JHMGWJ-1/2/77a29a95c2071997f13fcca7267711d1) There is also some discussion in the R-help archive, and a small amount scattered around in the statalist archives (the two statistical software mailing lists to which I subscribe). Search the R-help list at http://search.r-project.org/nmz.html and statalist archives at http://www.stata.com/statalist/archvies/ HTH's Neil "In mathematics you don't understand things. You just get used to them." - Johann von Neumann Email - [EMAIL PROTECTED] / [EMAIL PROTECTED] Website - http://slack.ser.man.ac.uk/ Photos - http://www.flickr.com/photos/slackline/ ______________________________________________ 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.
