|
Lecturer(s)
|
-
Fačevicová Kamila, Mgr. Ph.D.
|
|
Course content
|
1. R Shiny - Introduction 2. R Shiny - Inputs 3. R Shiny - Outputs 4. R Shiny - Application Layout, publishing 5. R Markdown - Introduction 6. R Markdown - Dynamic reports 7. R Markdown - Dynamic presentations 8. Other related topics
|
|
Learning activities and teaching methods
|
|
Dialogic Lecture (Discussion, Dialog, Brainstorming), Demonstration
|
|
Learning outcomes
|
The seminar is dedicated to non-analytical tools of the R software as R Shiny or R Markdown. Also other related topics will be discussed during the semester.
Ability of creating own R Shiny apps and R Markdown files.
|
|
Prerequisites
|
Basic knowledge of R language.
|
|
Assessment methods and criteria
|
Student performance
Active participation in seminars, work on given individual tasks and homeworks.
|
|
Recommended literature
|
-
Online manuál k R Markdown.
-
Online manuál k R Shiny.
-
Beeley, Ch. (2013). Web Application Development with R Using Shiny. Packt Publishing.
-
Wickham, H., Grolemund, G. (2017). R for Data Science. O´Reilly Media, Inc.
-
Xie, Z., Allaire, J.J., Grolemund, G.: R Markdown. (2018). The Definitive Guide. Chapman and Hall/CRC The R Series.
|