Bi7560 Introduction to R

Faculty of Science
Spring 2021
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 1. 3. to Fri 14. 5. Tue 9:00–10:50 online_B6, K. Kintrová
Bi7560/02: Mon 1. 3. to Fri 14. 5. Wed 13:00–14:50 online_B6, K. Kintrová
Bi7560/03: Mon 1. 3. to Fri 14. 5. Tue 11:00–12:50 online_B1, 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
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
  • Data frames
  • Factors: subsets, graphs
  • Data import and export
  • Overview of basic graphs
  • Other graphical parametres
  • 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
Spring 2021: The course will take the form of a weekly online practical presentation with additional task for home training. 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
Study Materials
The course is taught annually.
Listed among pre-requisites of other courses
The course is also listed under the following terms Autumn 2010 - only for the accreditation, Autumn 2010, Autumn 2011, Autumn 2011 - acreditation, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, autumn 2017, Autumn 2018, Autumn 2019, Spring 2020, Spring 2022, Spring 2023, Spring 2024, Spring 2025.
  • Enrolment Statistics (Spring 2021, recent)
  • Permalink: https://is.muni.cz/course/sci/spring2021/Bi7560