Autumn Semester 2020 takes place in a mixed form of online and classroom teaching.
Please read the published information on the individual courses carefully.

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

 Semester Autumn Semester 2015 Lecturers A. J. Papritz, C. B. Schwierz Periodicity yearly recurring course Language of instruction English

 Abstract 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. Objective The students will be able to use the software R efficiently for data analysis. Content 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 Lecture notes An Introduction to R. http://stat.ethz.ch/CRAN/doc/contrib/Lam-IntroductionToR_LHL.pdf Prerequisites / Notice 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.