R literature

[Christoph Kopp]

Dear list

1. As mentioned in yesterday's meeting, here is an excellent source on
efficiently using R ("Efficient R Programming", Gillespie & Lovelace,
O'Reilly 2017; the book is available online)

https://csgillespie.github.io/efficientR/

The table of contents is also found at

http://shop.oreilly.com/product/0636920047995.do

The book covers a wide range of aspects of "efficiently using R" and
also gives a lot of general tips, including on 

- how to set up R,
- some common performance killers to avoid when programming,
- how to read big data sets quickly, 
- how to profile and optimize code, including parallelization and byte
compiling,
- how to include C++ code (Rcpp) and
- some hardware considerations (on local machines).

The book is very concise and the dead tree edition spans only 200
pages, including lots of references.

2. I would also like to recommend "Advanced R" by Hadley Wickham, CRC
press, 2017; online verison available at

http://adv-r.had.co.nz/

It gives a deeper, systematical look at the fundamentals of the R
language, including debugging and many, many other topics. The whole
Section IV covers performance aspects, including lots of references.

Best wishes
Chris



-- 
Berner Fachhochschule
Hochschule für Agrar-, Forst- und Lebensmittelwissenschaften HAFL
Abteilung Masterstudien
Dr. Christoph Kopp 
Dozent in Angewandter Statistik

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