401-6217-00L Using R for Data Analysis and Graphics (Part II)
|Semester||Autumn Semester 2020|
|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, graphics and simple programming|
|Content||The course provides the second part of an introduction to the statistical software R (https://www.r-project.org/) 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 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 platform.
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