1. INTRODUCTION TO R
1.1 Basics
1.2 Vectors
1.3 Matrices
1.4 Factors
1.5 Data frames
1.6 Lists
2. INTERMEDIATE R
2.1 Conditionals and Control Flow
2.2 Loops
2.3 Functions
2.4 Packages
2.5 The apply family
2.6 Utilities
2.7 Dates & Time
3. IMPORTING DATA
3.1 Importing data from flat files
3.2 Readr and data.table
3.3 Importing data from Excel
3.4 Importing relational data from databases
3.5 Importing data from web
3.6 Importing data from statistical software packages
4. WRITING EFFICIENT R CODES
4.1 The art of Benchmarking
4.2 Fine Tuning: Efficient Base R
4.3 Diagnosing Problems: Code Profiling
4.4 Turbo Charged Code: Paralell Programming