401-6217-00L  Using R for Data Analysis and Graphics (Part II)

SemesterHerbstsemester 2020
DozierendeM. Mächler
Periodizitätjährlich wiederkehrende Veranstaltung


401-6217-00 GUsing R for Data Analysis and Graphics (Part II)
The lecturers will communicate the exact lesson times of ONLINE courses.
14s Std.
Di/214-16ON LI NE »
M. Mächler


KurzbeschreibungThe course provides the second part an introduction to the statistical software R for scientists. Topics are data generation and selection, graphical functions, important statistical functions, types of objects, models, programming and writing functions.
Note: This part builds on "Using R... (Part I)", but can be taken independently if the basics of R are already known.
LernzielThe students will be able to use the software R efficiently for data analysis, graphics and simple programming
InhaltThe course provides the second part of an introduction to the statistical software R (https://www.r-project.org/) for scientists. R is free software that contains a huge collection of functions with focus on statistics and graphics. If one wants to use R one has to learn the programming language R - on very rudimentary level. The course aims to facilitate this by providing a basic introduction to R.

Part II of the course builds on part I and covers the following additional topics:
- Elements of the R language: control structures (if, else, loops), lists, overview of R objects, attributes of R objects;
- More on R functions;
- Applying functions to elements of vectors, matrices and lists;
- Object oriented programming with R: classes and methods;
- Tayloring R: options
- Extending basic R: packages

The course focuses on practical work at the computer. We will make use of the graphical user interface RStudio: www.rstudio.org
SkriptAn Introduction to R. http://stat.ethz.ch/CRAN/doc/contrib/Lam-IntroductionToR_LHL.pdf
Voraussetzungen / BesonderesBasic knowledge of R equivalent to "Using R .. (part 1)" ( = 401-6215-00L ) is a prerequisite for this course.

The course resources will be provided via the Moodle web learning platform.
Subscribing via Mystudies should *automatically* make you
a student participant of the Moodle course of this lecture, which is at


ALL material is available on this moodle page.


Information zur Leistungskontrolle (gültig bis die Lerneinheit neu gelesen wird)
Leistungskontrolle als Semesterkurs
ECTS Kreditpunkte1.5 KP
PrüfendeM. Mächler
Formbenotete Semesterleistung
RepetitionRepetition nur nach erneuter Belegung der Lerneinheit möglich.
Online-PrüfungDie Prüfung kann am Computer stattfinden.


Keine öffentlichen Lernmaterialien verfügbar.
Es werden nur die öffentlichen Lernmaterialien aufgeführt.


Keine Informationen zu Gruppen vorhanden.


BelegungsendeBelegung nur bis 26.11.2020 möglich

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