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

SemesterFrühjahrssemester 2020
DozierendeM. Mächler
Periodizitätjährlich wiederkehrende Veranstaltung
LehrspracheEnglisch


KurzbeschreibungDeeper 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.
LernzielLearn 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.
InhaltSee "Skript": Link
SkriptMaterial available from Github
Link

(typically will be updated during course)
LiteraturNorman 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.
Voraussetzungen / BesonderesR Knowledge on the same level as after *both* parts of the ETH lecture
401-6217-00L Using R for Data Analysis and Graphics
Link

An interest to dig deeper than average R users do.

Bring your own laptop with a recent version of R installed