You have done a very good job in creating this curriculum, thank so much for all the work! I would maybe suggest to review a little bit the structure as follows to have a better flow of information going from beginner to more advanced:
- Introduction to RStudio
- R Fundamentals
- Best Practices for Writing in R (better to put this at the beginning s that all the rest is done using the good practices ^^)
- Data Types and Structure
- Categorizing Data with Factors
- Function in R - Basics (= what is a function in R and how to use it? Unless this is what will be done in R Fundamentals with using mean and median maybe?)
- Exploring Data (Former Addressing data, should maybe include some content as well on Plotting data)
- Dealing with Messy Data
- Loops and Conditional statements (putting together the chapters Making Choices and Loops in R? )
- Creating your own Functions in R (previously named Analysing Patient Data? You can also keep this name^^)
- Handy Packages for Official Statistics in R (maybe a section to consider adding?)
- Analysing Multiple datasets
- Dynamic Reports with knitr
- Command-Line Programmes
- The Call Stack
- Creating Packages in R
Come back to me if I don't make sense!
You have done a very good job in creating this curriculum, thank so much for all the work! I would maybe suggest to review a little bit the structure as follows to have a better flow of information going from beginner to more advanced:
Come back to me if I don't make sense!