[R] Learning advanced R
b.rowlingson at lancaster.ac.uk
Wed Mar 14 16:56:55 CET 2018
Depending on your application, I'm not sure there's much point in being an
"advanced R programmer" these days. Become an adequate R programmer, and
learn C++ and Rcpp. Do basic data mashing in R, then do all your intensive
stuff in C++ with Rcpp. Eventually you'll probably get to the point where
you can express yourself in C++ as fast as you can in interpreted R, with
the bonus of C++ speed, type-safety etc.
On Wed, Mar 14, 2018 at 8:13 AM, Eric Berger <ericjberger at gmail.com> wrote:
> 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
> On Wed, Mar 14, 2018 at 12:13 AM, Rich Shepard <rshepard at appl-ecosys.com>
> > On Tue, 13 Mar 2018, Mark Leeds wrote:
> > See Hadley's advanced R
> > +1 A very well writte, highly useful book. Recommended.
> > Rich
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> PLEASE do read the posting guide http://www.R-project.org/
> and provide commented, minimal, self-contained, reproducible code.
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