401-6215-00L Using R for Data Analysis and Graphics (Part I)
|Semester||Autumn Semester 2016|
|Lecturers||A. Drewek, A. J. Papritz|
|Periodicity||yearly recurring course|
|Language of instruction||English|
|Abstract||The 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.|
|Objective||The students will be able to use the software R for simple data analysis.|
|Content||The 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 notes||An Introduction to R. http://stat.ethz.ch/CRAN/doc/contrib/Lam-IntroductionToR_LHL.pdf|
|Prerequisites / Notice||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.