PřF:Bi7560 Introduction to R - Course Information
Bi7560 Introduction to R
Faculty of ScienceSpring 2024
- Extent and Intensity
- 0/2/0. 2 credit(s). Type of Completion: z (credit).
- Teacher(s)
- Mgr. Kateřina Kintrová, Ph.D. (seminar tutor)
- Guaranteed by
- doc. RNDr. Jakub Těšitel, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Contact Person: Mgr. Kateřina Kintrová, Ph.D.
Supplier department: Department of Botany and Zoology – Biology Section – Faculty of Science - Timetable of Seminar Groups
- Bi7560/01: Mon 19. 2. to Sun 26. 5. Tue 11:00–12:50 B09/316, K. Kintrová
Bi7560/02: Mon 19. 2. to Sun 26. 5. Thu 10:00–11:50 B09/316, K. Kintrová - 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
- Plant Biosystematics (programme PřF, N-BOT)
- Ecological and Evolutionary Biology (programme PřF, B-EKB)
- Plant Ecology (programme PřF, N-BOT)
- Phycology and Mycology (programme PřF, N-BOT)
- Zoology (programme PřF, N-ZOL)
- 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 prerequisite for follow-up classes devoted to data analysis Bi5560 Basics of statistics for biologists II and Bi7540 Data analysis in community ecology and will be useful for Bi7920 Analysis of biological data as well.
- Learning outcomes
- After attending the course the student will be able to:
- orientate in an R script,
- import data into R,
- create various objects and understand the difference among object classes,
- make selections,
- create basic graphs. - Syllabus
- Instalation of R and editor RStudio (working environment)
- R as calculator
- Handling with vectors
- Subsets, samples, logical statements
- Objects of matrices
- Lists and installation of more functions (packages)
- Data frames
- Data import and export
- Factors: subsets, graphs
- Factors II: advanced functions
- Overview of basic graphs
- Simple loops
- Handling with chain of characters
- Literature
- recommended literature
- DROZD, Pavel. Cvičení z biostatistiky: Základy práce se softwarem R. Ostrava 2007. (dostupná online)
- KONEČNÁ,Kateřina a KOLÁČEK, Jan. Jak pracovat s jazykem R. Ústav matematiky a statistiky MU. (dostupné online)
- not specified
- 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 presentation with additional task for home training. The course will take place in the computer room in the University Campus Bohunice. The course will be taught in Czech only.
- Assessment methods
- A practical test with a new data set.
- Language of instruction
- Czech
- Follow-Up Courses
- Further comments (probably available only in Czech)
- Study Materials
The course is taught annually. - Listed among pre-requisites of other courses
- Teacher's information
- https://is.muni.cz/auth/do/sci/UBZBiol/um/udr/index.html
All the study materials are in Czech.
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/sci/spring2024/Bi7560