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

SemesterSpring Semester 2021
LecturersM. Mächler
Periodicityyearly recurring course
Language of instructionEnglish



Courses

NumberTitleHoursLecturers
401-6228-00 GProgramming with R for Reproducible Research14s hrs
Tue/114:15-16:00HG E 1.1 »
M. Mächler

Catalogue data

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": Link
Lecture notesMaterial available from Github
Link

(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
Link

An interest to dig deeper than average R users do.

Bring your own laptop with a recent version of R installed

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits1 credit
ExaminersM. Mächler
Typegraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.
Additional information on mode of examination"Written", respectively at computer, at the end of the teaching block

Learning materials

 
Main linkLecture webpage with all materials
Only public learning materials are listed.

Groups

No information on groups available.

Restrictions

There are no additional restrictions for the registration.

Offered in

ProgrammeSectionType
Statistics MasterStatistical and Mathematical CoursesWInformation
Statistics MasterSubject Specific ElectivesWInformation