Start with reading the manual "An Introduction to R". There is quite a lot of literature mentioned under "Documentation" on the left hand side of http://www.r-project.org.
Uwe Ligges Leandre Bassole wrote: > Léandre BASSOLE > PhD Student > CNRS-CERDI > 65 Bd Francois Mitterrand > Boite Postale 320 > 63009 Clermont-Ferrand CEDEX 1 > FRANCE > Tel : +33 4 73 17 74 45 > Fax : +33 4 73 17 74 28 > > ----- Forwarded Message ---- > From: Leandre Bassole <[EMAIL PROTECTED]> > To: r-help@r-project.org > Sent: Saturday, 27 October, 2007 8:41:05 PM > Subject: > > Hi all!! > I am a new user of R. I am very familar to Stata, but few days ago I have > decided to switch to R. But R langage is very difficult.....I really want to > know the best way to learn this famous and interesting software. > Best regards!!! > > Léandre BASSOLE > PhD Student > CNRS-CERDI > 65 Bd Francois Mitterrand > Boite Postale 320 > 63009 Clermont-Ferrand CEDEX 1 > FRANCE > Tel : +33 4 73 17 74 45 > Fax : +33 4 73 17 74 28 > > > > > > > > For ideas on reducing your carbon footprint visit Yahoo! For Good this month. > > > > > > > ___________________________________________________________ > > now. > > [[alternative HTML version deleted]] > > > > ------------------------------------------------------------------------ > > ______________________________________________ > 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. ______________________________________________ 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.