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

SemesterHerbstsemester 2013
DozierendeA. J. Papritz, C. B. Schwierz
Periodizitätjährlich wiederkehrende Veranstaltung
LehrspracheEnglisch



Lehrveranstaltungen

NummerTitelUmfangDozierende
401-6217-00 GUsing R for Data Analysis and Graphics (Part II)
Only a restricted number of participants will be accepted. Students *must* sign up via the ILIAS E-learning web site.
14s Std.
Di/213:15-15:00CHN C 14 »
A. J. Papritz, C. B. Schwierz

Katalogdaten

KurzbeschreibungThe statistical software R is introduced in a way that is suitable 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.
InhaltThe statistical software R is introduced in a way that is suitable for scientists.
R is free software that contains a huge collection of functions with emphasis on statistics and graphics and is based on the command language S.

Part 2 of the course builds on part 1 and covers the following additional topics:
- More on graphics: saving graphics to files, controlling the visual appearance of graphics;
- More on statistics: probability distribution and random number generation;
- 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 emphasizes practical work at the computer.
We will make use of the graphical user interface RStudio: www.rstudio.org
Skriptsee link
LiteraturAn Introduction to R. http://stat.ethz.ch/CRAN/doc/manuals/R-intro.pdf

We recommend the full two part lecture notes including "Using R .. (part 1)",
available at the Ilias web page http://ilias.let.ethz.ch/ .
Voraussetzungen / BesonderesBasic knowledge of R equivalent to "Using R .. (part 1)" ( = 401-6215-00L )
is a prerequisite for this course.

Much of the lecture resources will be provided via the Ilias web learning environment. If you have not already registered for part 1 of the course,
please do login (with your ETH/University username+password) at
https://ilias-app2.let.ethz.ch/goto.php?target=crs_10891&lient_id=ilias_lda
choosing the course
"Using R for Data Analysis and Graphics"

Students who already received 2 ECTS credits for the former course unit 401-6215-00L (Autumn Semester 2010) are not eligible for additional credits for this course unit.

Leistungskontrolle

Information zur Leistungskontrolle (gültig bis die Lerneinheit neu gelesen wird)
Leistungskontrolle als Semesterkurs
ECTS Kreditpunkte1 KP
PrüfendeC. B. Schwierz, A. J. Papritz
Formbenotete Semesterleistung
PrüfungsspracheEnglisch
RepetitionRepetition nur nach erneuter Belegung der Lerneinheit möglich.

Lernmaterialien

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

Gruppen

Keine Informationen zu Gruppen vorhanden.

Einschränkungen

Keine zusätzlichen Belegungseinschränkungen vorhanden.

Angeboten in

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Biologie MasterWahlpflicht MasterkurseWInformation
Statistik MasterStatistische und mathematische FächerWInformation
Umweltnaturwissenschaften BachelorMethoden der statistischen DatenanalyseWInformation