- RMarkdown setup (10 minutes)
- First steps with R (15 minutes)
- Introduction to data analysis with R: subsetting vectors, basic statistical functions, data frames (15 minutes)
- Exercise 1
- Reading data into R: csv, excel, stata, text (15 minutes)
- Working with non-numeric data: text, dates, factors (20 minutes)
- Functions (e.g. mode), --> exercise: function to identify quantiles.
- Data munging: reshaping, subsetting, aggregating data frames (30 minutes)
- Exercise 2
RESOURCES:
- Software carpentry workshops
- Springer R beginner
- R programming...