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

 Semester Herbstsemester 2016 Dozierende A. Drewek, A. J. Papritz Periodizität jährlich wiederkehrende Veranstaltung Lehrsprache Englisch

### Lehrveranstaltungen

NummerTitelUmfangDozierende
401-6217-00 GUsing R for Data Analysis and Graphics (Part II)14s Std.
 Di/2 13-15 CHN C 14 »
A. Drewek, A. J. Papritz

### Katalogdaten

 Kurzbeschreibung The 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. Lernziel The students will be able to use the software R efficiently for data analysis. Inhalt The course provides the second part of an introduction to the statistical software R 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: packagesThe course focuses on practical work at the computer. We will make use of the graphical user interface RStudio: www.rstudio.org Skript An Introduction to R. http://stat.ethz.ch/CRAN/doc/contrib/Lam-IntroductionToR_LHL.pdf Voraussetzungen / Besonderes Basic 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 platformPlease login (with your ETH (or other University) username+password) at https://moodle-app2.let.ethz.ch/enrol/users.php?id=1145Choose the course "Using R for Data Analysis and Graphics" and follow the instructions for registration.

### Leistungskontrolle

 Information zur Leistungskontrolle (gültig bis die Lerneinheit neu gelesen wird) Leistungskontrolle als Semesterkurs ECTS Kreditpunkte 1 KP Prüfende A. J. Papritz, A. Drewek Form benotete Semesterleistung Prüfungssprache Englisch Repetition Repetition nur nach erneuter Belegung der Lerneinheit möglich. Online-Prüfung Die Prüfung kann am Computer stattfinden.

### Lernmaterialien

 Hauptlink Details on Moodle Website (for registered students only -- login on with N.ETHZ or your univ. ID) Es werden nur die öffentlichen Lernmaterialien aufgeführt.

### Gruppen

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### Einschränkungen

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