The one included in the standard R installation -- which can be accessed by typing help.start() at your prompt -- is quite good for beginners (and very conveniently located). If you tell us a bit more about yourself, we can help direct you to others as well: specifically,
1) Prior programming experience? 2) Experience with other statistical packages? 3) Is there a specific domain you will be working in? E.g., biomedical, time series/financial, simulation, etc. There exist specialized intros for many branches of stats 4) Level of statistical training: there are some books that provide an integrated intro to statistical methods and R so if you need to brush up your stats as well, you can do them both at once. Best of luck and welcome to the R-world -- it's quite a fun place, Michael On Mon, Nov 14, 2011 at 12:38 PM, Davg <davidgrim...@hotmail.com> wrote: > Thank you all! > > It's working perfectly. I will have a look for an online guide. > > -- > View this message in context: > http://r.789695.n4.nabble.com/Very-simple-loop-tp4039895p4040291.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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.
