PřF:Bi7560 Introduction to R - Course Information
Bi7560 Introduction to R
Faculty of ScienceAutumn 2018
- Extent and Intensity
- 0/2. 2 credit(s). Type of Completion: z (credit).
- Teacher(s)
- Mgr. Vít Syrovátka, Ph.D. (seminar tutor)
- Guaranteed by
- Mgr. Vít Syrovátka, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Contact Person: Mgr. Vít Syrovátka, Ph.D.
Supplier department: Department of Botany and Zoology – Biology Section – Faculty of Science - Timetable
- Mon 17. 9. to Fri 14. 12. Thu 8:00–9:50 B09/316, Thu 10:00–11:50 B09/316
- Timetable of Seminar Groups:
Bi7560/02: No timetable has been entered into IS. - Prerequisites (in Czech)
- Bi5040 Biostatistics - basic course
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Botany (programme PřF, N-EB)
- Ecological and Evolutionary Biology (programme PřF, B-EB)
- Ecological and Evolutionary Biology (programme PřF, B-EB, specialization Botany)
- Ecological and Evolutionary Biology (programme PřF, B-EB, specialization Zoology)
- Systematic Biology and Ecology (programme PřF, N-BI)
- Systematic Biology and Ecology (programme PřF, N-BI, specialization Zoology)
- Zoology (programme PřF, N-EB)
- Course objectives
- The major aim of the course is to overcome students' fear of the command line. In the course we will focus on basic operations and data manipulation in R. After the completing of the course, students ought to be eager to work in R and able to carry out all data operations necessary for data analysis and graphical presentation. This course is a suitable prerequisite for follow-up classes devoted to data analysis (Bi7920 Analysis of biological data and Bi7550 Practical Analysis of Biological Data – Seminar) and graphical presentation (Bi8190 Visualization of biological data) per se, and ought to allow students to be fully concentrated on the classes' topics and not to blunder about in the R script.
- Syllabus
- Introduction, R installation, R packages
- R editors, R as a calculator
- How to use functions, help
- Objects in R
- Sequences
- Repetitions
- Subscripting
- Sorting of values in objects
- Merging two objects
- Data import and export
- Simple loops
- Creation of own functions
- Literature
- DROZD, Pavel. Cvičení z biostatistiky: Základy práce se softwarem R. Ostrava 2007
- Paradis E. 2005. R for Beginners. http://cran.r-project.org/doc/contrib/Paradis-rdebuts_en.pdf
- ZUUR, Alain F., Elena N. IENO and H. W. G. MEESTERS. A beginner's guide to R. New York, N.Y.: Springer, 2009, 218 s. ISBN 9780387938363. info
- SPECTOR, Phil. Data manipulation with R. New York: Springer, 2008, ix, 152. ISBN 9780387747309. info
- Teaching methods
- The course will take the form of a weekly practical training with optional (but highly recommended) homeworks.
- Assessment methods
- A practical held in the last class. To pass, at least 12 out of 20 points must be achieved.
- Language of instruction
- Czech
- Further Comments
- Study Materials
The course is taught annually. - Listed among pre-requisites of other courses
- Teacher's information
- http://vitsyrovatka.info/doku.php?id=r_intro:cs:start
- Enrolment Statistics (Autumn 2018, recent)
- Permalink: https://is.muni.cz/course/sci/autumn2018/Bi7560