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Structure of the Curriculum #4

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@sclappe

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:

  1. Introduction to RStudio
  2. R Fundamentals
  3. Best Practices for Writing in R (better to put this at the beginning s that all the rest is done using the good practices ^^)
  4. Data Types and Structure
  5. Categorizing Data with Factors
  6. 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?)
  7. Exploring Data (Former Addressing data, should maybe include some content as well on Plotting data)
  8. Dealing with Messy Data
  9. Loops and Conditional statements (putting together the chapters Making Choices and Loops in R? )
  10. Creating your own Functions in R (previously named Analysing Patient Data? You can also keep this name^^)
  11. Handy Packages for Official Statistics in R (maybe a section to consider adding?)
  12. Analysing Multiple datasets
  13. Dynamic Reports with knitr
  14. Command-Line Programmes
  15. The Call Stack
  16. Creating Packages in R

Come back to me if I don't make sense!

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