Syllabus
- 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)