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Introduction to R - APS300424

Title:	Úvod do R
Guaranteed by:	Department of Psychology (21-KPS)
Faculty:	Faculty of Arts
Actual:	from 2022
Semester:	summer
Points:	0
E-Credits:	3
Examination process:	summer s.:
Hours per week, examination:	summer s.:0/2, C [HS]
Capacity:	unknown / unknown (20)
Min. number of students:	unlimited
4EU+:	no
Virtual mobility / capacity:	no
Key competences:
State of the course:	not taught
Language:	Czech
Teaching methods:	full-time
Teaching methods:	full-time
Level:
Note:	course can be enrolled in outside the study plan enabled for web enrollment

Guarantor:	doc. Mgr. Jiří Lukavský, Ph.D.

Schedule Noticeboard

Aim of the course -

Last update: doc. Mgr. Jiří Lukavský, Ph.D. (04.02.2022)

Acquired knowledge: The student understands the basic syntax of the R language, can read and edit code. He knows the concept of tidy data and understands the modular character of R.

Acquired skills: The student is able to control the R / RStudio environment. The student is able to load basic data types into R and modify them for further use. The student is able to create overview tables and prepare graphs in R. The student is able to design procedures for data processing, management and subsequent analysis.

Literature -

Last update: doc. Mgr. Jiří Lukavský, Ph.D. (04.02.2022)

Mandatory:

Wickham, H. (2014). Tidy data. Journal of Statistical Software, 59(1), 1-23.

Recommended:

Grolemund, G., & Wickham, H. (2017). R for Data Science. O’Reilly Media.

Requirements to the exam -

Last update: doc. Mgr. Jiří Lukavský, Ph.D. (04.02.2022)

Preparing a simple statistical analysis for a given dataset (descriptive statistics, visualization, hypothesis testing).

Syllabus -

Last update: doc. Mgr. Jiří Lukavský, Ph.D. (04.02.2022)

- Introduction to R/RStudio, package system

- Basic data types, indexing, working with missing values

- Programming basics (functions, loops)

- Loading, saving data (format conversion - .xlsx, .csv, SPSS)

- Data editing, grammar of data manipulation (dplyr)

- Data visualization (ggplot2)

- Report creation, RMarkdown

- Performing basic statistical procedures in R

- Organisation and procedures when working with data

- Other R tools (bookdown, shiny)