401-6215-00L  Using R for Data Analysis and Graphics (Part I)

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

Catalogue data

AbstractThe course provides the first part an introduction to the statistical software R for scientists. Topics covered are data generation and selection, graphical and basic statistical functions, creating simple functions, basic types of objects.
ObjectiveThe students will be able to use the software R for simple data analysis.
ContentThe course provides the first 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 I of the course covers the following topics:
- What is R?
- R Basics: reading and writing data from/to files, creating vectors & matrices, selecting elements of dataframes, vectors and matrices, arithmetics;
- Types of data: numeric, character, logical and categorical data, missing values;
- Simple (statistical) functions: summary, mean, var, etc., simple statistical tests;
- Writing simple functions;
- Introduction to graphics: scatter-, boxplots and other high-level plotting functions, embellishing plots by title, axis labels, etc., adding elements (lines, points) to existing plots.

The course focuses on practical work at the computer. We will make use of the graphical user interface RStudio: www.rstudio.org

Note: Part I of UsingR is complemented and extended by Part II, which is offered during the second part of the semester and which can be taken independently from Part I.
Lecture notesAn Introduction to R. http://stat.ethz.ch/CRAN/doc/contrib/Lam-IntroductionToR_LHL.pdf
Prerequisites / NoticeThe 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 Moode Website (for registered students only -- login via N.ETHZ or your univ.ID)
Only public learning materials are listed.


401-6215-00 GUsing R for Data Analysis and Graphics (Part I)14s hrs
Tue/113-15CHN C 14 »
A. Drewek, A. J. Papritz


No information on groups available.


There are no additional restrictions for the registration.

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