401-6217-00L Using R for Data Analysis and Graphics (Part II)
Semester | Autumn Semester 2016 |
Lecturers | A. Drewek, A. J. Papritz |
Periodicity | yearly recurring course |
Language of instruction | English |
Courses
Number | Title | Hours | Lecturers | ||||
---|---|---|---|---|---|---|---|
401-6217-00 G | Using R for Data Analysis and Graphics (Part II) | 14s hrs |
| A. Drewek, A. J. Papritz |
Catalogue data
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: packages The course focuses on practical work at the computer. We will make use of the graphical user interface RStudio: Link |
Lecture notes | An Introduction to R. Link |
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 Please login (with your ETH (or other University) username+password) at Link 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 credits | 1 credit |
Examiners | A. J. Papritz, A. Drewek |
Type | graded semester performance |
Language of examination | English |
Repetition | Repetition only possible after re-enrolling for the course unit. |
Online examination | The examination may take place on the computer. |
Learning materials
Main link | Details on Moodle Website (for registered students only -- login on with N.ETHZ or your univ. ID) |
Only public learning materials are listed. |
Groups
No information on groups available. |
Restrictions
There are no additional restrictions for the registration. |
Offered in
Programme | Section | Type | |
---|---|---|---|
Biology Master | Elective Compulsory Master Courses | W | |
Statistics Master | Statistical and Mathematical Courses | W | |
Environmental Sciences Bachelor | Methodes of Statistical Data Analysis | W |