On 25-Sep-07 10:46:17, Eleni Rapsomaniki wrote: > Dear R users, > > I have started work in a Statistics government department > and I am trying to convince my bosses to install R on our > computers (I can't do proper stats in Excel!!). They asked > me to prove that this is a widely used software (and not > just another free-source, bug infected toy I found on the > web!) by suggesting other big organisations that use it. > Are you aware of any reputable places (academic or not) > that use R? (e.g. maybe you work for them) > > I would be really grateful for any advice on this. Also > suggestions on arguments I could use to persuade them that > R is so much better than Excel would be very much appreciated. > > Many Thanks > Eleni Rapsomaniki
Dear Eleni, You deserve all the support we can give you! As well as the many other cogent suggestions you will get (and I hope there will be plenty of citations of articles published in prestigious journals), the following may also be helpful: Pat Altham (now retired) developed extensive teaching (and other) materials in R at the Cambridge University Statistical Laboratory. From her personal web page: "Some of the computer languages I have had to try to learn since graduating in 1964: Cambridge autocode, algol, phoenix, machine-code, Fortran, BBC-Basic, GLIM, GENSTAT, Linux, S-Plus and finally (probably the best so far!) R." See http://www.statslab.cam.ac.uk/~pat/ for more details and for links to her R material. Good luck! Ted. -------------------------------------------------------------------- E-Mail: (Ted Harding) <[EMAIL PROTECTED]> Fax-to-email: +44 (0)870 094 0861 Date: 25-Sep-07 Time: 12:40:36 ------------------------------ XFMail ------------------------------ ______________________________________________ R-help@r-project.org 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.