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

SemesterSpring Semester 2015
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.
Objective
ContentSee Link
Lecture notesMaterial available from
Link
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.-).
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
Link