Bert's suggestion is good as a pointer to a variety of resources. Sticking to the book format there are two of Hadley Wickham's books, which have the advantage that they are freely available. You can either read them online or download the source from github and create your own copy (which you can then print, if desired.) 1. "R for Data Science" online: http://r4ds.had.co.nz/ github: https://github.com/hadley/r4ds 2. "Advanced R" online: https://adv-r.hadley.nz/ github: https://github.com/hadley/adv-r
Best, Eric On Wed, Mar 14, 2018 at 12:13 AM, Rich Shepard <rshep...@appl-ecosys.com> wrote: > On Tue, 13 Mar 2018, Mark Leeds wrote: > > See Hadley's advanced R >> > > +1 A very well writte, highly useful book. Recommended. > > Rich > > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posti > ng-guide.html > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.