401-6217-00L Using R for Data Analysis and Graphics (Part II)
Semester | Herbstsemester 2013 |
Dozierende | A. J. Papritz, C. B. Schwierz |
Periodizität | jährlich wiederkehrende Veranstaltung |
Lehrsprache | Englisch |
Lehrveranstaltungen
Nummer | Titel | Umfang | Dozierende | ||||
---|---|---|---|---|---|---|---|
401-6217-00 G | Using 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. |
| A. J. Papritz, C. B. Schwierz |
Katalogdaten
Kurzbeschreibung | The 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. |
Lernziel | The students will be able to use the software R efficiently for data analysis. |
Inhalt | The 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 |
Skript | see link |
Literatur | An 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 / Besonderes | Basic 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 Kreditpunkte | 1 KP |
Prüfende | C. B. Schwierz, A. J. Papritz |
Form | benotete Semesterleistung |
Prüfungssprache | Englisch |
Repetition | Repetition 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 Master | Wahlpflicht Masterkurse | W | |
Statistik Master | Statistische und mathematische Fächer | W | |
Umweltnaturwissenschaften Bachelor | Methoden der statistischen Datenanalyse | W |