Bi7560 Introduction to R

Faculty of Science
autumn 2017
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 of Seminar Groups
Bi7560/01: Mon 18. 9. to Fri 15. 12. Tue 12:00–13:50 B09/316, V. Syrovátka
Bi7560/02: Mon 18. 9. to Fri 15. 12. Thu 11:00–12:50 B09/316, V. Syrovátka
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
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
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 2018, Autumn 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.
  • Enrolment Statistics (autumn 2017, recent)
  • Permalink: https://is.muni.cz/course/sci/autumn2017/Bi7560