R help - Mar 2018 - Learning advanced R

Hello:

Could you please suggest the best way to become an "advanced" R
programmer.
I went through "R for dummies" by de Vries and Meys and I can see two
ways
to proceed:

1) Get a more advanced textbook. E.g. could you recommend Gentleman, 
"R for Bioinformatics"?

2) Because textbooks are limited and become obsolete fast, I can focus on
learning state-of-the-art packages,
but for that I need to find a list of most useful general purpose packages
(foreach, doParallel, etc) that is
updated in real time. Does such list exist?

Your recommendations are very welcome.

Thanks,
Nik

See Hadley's advanced R along Thomas Mailund's books. I haven't gone
through them carefully but they both
seem  (from what I've looked at ) to be the best ones for that. Mentions of
others are appreciated.




On Tue, Mar 13, 2018 at 5:26 PM, Nik Tuzov <ntuzov at beacon.partek.com>
wrote:
>
> Hello:
>
> Could you please suggest the best way to become an "advanced" R
programmer.
> I went through "R for dummies" by de Vries and Meys and I can see
two ways
> to proceed:
>
> 1) Get a more advanced textbook. E.g. could you recommend Gentleman,
> "R for Bioinformatics"?
>
> 2) Because textbooks are limited and become obsolete fast, I can focus on
> learning state-of-the-art packages,
> but for that I need to find a list of most useful general purpose packages
> (foreach, doParallel, etc) that is
> updated in real time. Does such list exist?
>
> Your recommendations are very welcome.
>
> Thanks,
> Nik
>
> ______________________________________________
> R-help at 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.
>
	[[alternative HTML version deleted]]

See here for some suggestions:

https://www.rstudio.com/online-learning/#R

Cheers,
Bert



Bert Gunter

"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )

On Tue, Mar 13, 2018 at 2:31 PM, Mark Leeds <markleeds2 at gmail.com>
wrote:
> See Hadley's advanced R along Thomas Mailund's books. I haven't
gone
> through them carefully but they both
> seem  (from what I've looked at ) to be the best ones for that.
Mentions of
> others are appreciated.
>
>
>
>
> On Tue, Mar 13, 2018 at 5:26 PM, Nik Tuzov <ntuzov at
beacon.partek.com>
> wrote:
>
> >
> > Hello:
> >
> > Could you please suggest the best way to become an
"advanced" R
> programmer.
> > I went through "R for dummies" by de Vries and Meys and I
can see two
> ways
> > to proceed:
> >
> > 1) Get a more advanced textbook. E.g. could you recommend Gentleman,
> > "R for Bioinformatics"?
> >
> > 2) Because textbooks are limited and become obsolete fast, I can focus
on
> > learning state-of-the-art packages,
> > but for that I need to find a list of most useful general purpose
> packages
> > (foreach, doParallel, etc) that is
> > updated in real time. Does such list exist?
> >
> > Your recommendations are very welcome.
> >
> > Thanks,
> > Nik
> >
> > ______________________________________________
> > R-help at 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.
> >
>
>         [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at 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.
>
	[[alternative HTML version deleted]]

On Tue, 13 Mar 2018, Mark Leeds wrote:
> See Hadley's advanced R
   +1 A very well writte, highly useful book. Recommended.

Rich

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.

</controversial>

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
>
> Best,
> Eric
>
>
>
> On Wed, Mar 14, 2018 at 12:13 AM, Rich Shepard <rshepard at
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 at 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 at 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.
>
	[[alternative HTML version deleted]]

On Wed, 14 Mar 2018, Barry Rowlingson wrote:
> 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.
Barry,

   Allow me to offer an alternative to C++: Python. Compiled languages are
faster than interpreted ones, but unless you're doing time-critical
computations it really does not matter. R and Python provide proven
abilities in a broad range of applications and with today's hardware the
analytical/modeling code is not likely to be the limiting factor.

Regards,

Rich