401-6228-00L Programming with R for Reproducible Research
| Semester | Frühjahrssemester 2020 |
| Dozierende | M. Mächler |
| Periodizität | jährlich wiederkehrende Veranstaltung |
| Lehrsprache | Englisch |
| Kurzbeschreibung | Deeper 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. |
| Lernziel | Learn 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. |
| Inhalt | See "Skript": https://github.com/mmaechler/ProgRRR/tree/master/ETH |
| Skript | Material available from Github https://github.com/mmaechler/ProgRRR/tree/master/ETH (typically will be updated during course) |
| Literatur | Norman 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 / Besonderes | R 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 |