R Basic 101
1 Prologue
- 1.1 Thought Experiments
- 1.2 Welcome to the R Language
2 Installation
- 2.1 R Installation
- 2.2 R Package Installation
  - 2.2.1 From the Internet
  - 2.2.2 From Local Source or Binary
3 CLI versus IDE
4 Data Structures and Types
5 String Operations
- 5.1 Basics
- 5.2 Regular Expressions
6 Control Flow
- 6.1 Conditioning
- 6.2 Loop
7 Function
8 R Language Characteristics
9 Working Directory
- 9.1 Library Search Path
- 9.2 Save / Load
10 Data Processing
11 Error Handling
12 Parallel Computing
13 Programming with S4
14 Unit-Testing
15 Language Co-Working
16 Speed-up with Rcpp
- 16.1 What exactly is R?
  - 16.1.1 Distribution of source file counts in R
  - 16.1.2 Distribution of source line counts in R
- 16.2 Speed-Up
17 References
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RBasic 101

Chapter 12 Parallel Computing

This chapter introduces the built-in package parallel for the embarrassingly parallel computing in the R language.

mclapply

parLapply

pvec