Introduction to R

1. Basics
   • Installing R, RStudio, Packages
   • Data Types, Numbers, Vectors, Matrices, Arrays.
2. More on Data Types
   • Missings, Characters, Factors.
   • Lists, Data frames
   • Randomness
3. Data and Functions
   • Example datasets.
   • Functions.
   • Closures.
4. Graphs and Files
   • Introduction to Graphs.
   • Graphs for Univariate and Bivarate Data.
   • Files, Reading and Writing Data.
5. Control Structures, Structuring Data
   • Pipes
   • Conditions, Loops,Repetition.
   • Structuring Data, Grouping, Summarising, Mutating.
   • Selecting Variables, Sorting, Joining, Reshaping Data.
   • Tables, Regression.

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