> In general, managerial decisions (in large companies) about software are > most often based on references like > "Does this sotware use IBM, Sun, Oracle, MS, big banks, big Telco > companies, NASA, Academy of Sciences, and so on?" > rather than "this soft is scalable, offers this and this and that, uses > proven and sound statistical methods..."
The typical dilemma .. the managers that know nothing about the technology want to know what their competitors use and why is R not mentionned in the in-flight magazine like Java, .Net, etc. They can't impress their buddies playing golf quoting they signed a $200k service contract with R. My advice: don't ask. Simply use R/whatever fits best and gets the job done. Results count, not big names. Perl, Linux and Ruby made it like that into tons of big organizations. I know of people at the following big and small corporations using R: - ABB - Siemens - HHLA - NASA - Bank of Canada - Approximity :-) also look at the email addresses of the people here: http://stat.ethz.ch/CRAN/ Have fun with R, -A. ---------------------------------------- Armin Roehrl, http://www.approximity.com We manage risk Winston Wolf: That's thirty minutes away. I'll be there in ten. First European Ruby conference, 21-22/6, Karlsruhe http://www.approximity.com/ruby/euruko ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
