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

SemesterAutumn Semester 2016
LecturersA. Drewek, A. J. Papritz
Periodicityyearly recurring course
Language of instructionEnglish

Catalogue data

AbstractThe 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.
ObjectiveThe students will be able to use the software R efficiently for data analysis.
ContentThe 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: packages

The course focuses on practical work at the computer. We will make use of the graphical user interface RStudio: www.rstudio.org
Lecture notesAn Introduction to R. http://stat.ethz.ch/CRAN/doc/contrib/Lam-IntroductionToR_LHL.pdf
Prerequisites / NoticeBasic 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
Please login (with your ETH (or other University) username+password) at
Choose the course "Using R for Data Analysis and Graphics" and follow the instructions for registration.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits1 credit
ExaminersA. J. Papritz, A. Drewek
Typegraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.

Learning materials

Main linkDetails on Moodle Website (for registered students only -- login on with N.ETHZ or your univ. ID)
Only public learning materials are listed.


401-6217-00 GUsing R for Data Analysis and Graphics (Part II)14s hrs
Tue/213-15CHN C 14 »
A. Drewek, A. J. Papritz


No information on groups available.


There are no additional restrictions for the registration.

Offered in

Biology MasterElective Compulsory Master CoursesWInformation
Statistics MasterStatistical and Mathematical CoursesWInformation
Environmental Sciences BachelorMethodes of Statistical Data AnalysisWInformation