401-6228-00L  Programming with R for Reproducible Research

SemesterSpring Semester 2020
LecturersM. Mächler
Periodicityyearly recurring course
Language of instructionEnglish

AbstractDeeper understanding of R: Function calls, rather than "commands".
Reproducible research and data analysis via Sweave and Rmarkdown.
Limits of floating point arithmetic.
Understanding how functions work. Environments, packages, namespaces.
Closures, i.e., Functions returning functions.
Lists and [mc]lapply() for easy parallelization.
Performance measurement and improvements.
ObjectiveLearn to understand R as a (very versatile and flexible) programming language and learn about some of its lower level functionalities which are needed to understand *why* R works the way it does.
ContentSee "Skript": https://github.com/mmaechler/ProgRRR/tree/master/ETH
Lecture notesMaterial available from Github

(typically will be updated during course)
LiteratureNorman Matloff (2011) The Art of R Programming - A tour of statistical software design.
no starch press, San Francisco. on stock at Polybuchhandlung (CHF 42.-).

More material, notably H.Wickam's "Advanced R" : see my ProgRRR github page.
Prerequisites / NoticeR Knowledge on the same level as after *both* parts of the ETH lecture
401-6217-00L Using R for Data Analysis and Graphics

An interest to dig deeper than average R users do.

Bring your own laptop with a recent version of R installed