1 R Environment
2 Basic R
3 Data Types
4 Data Structures
5 Data Management and Manipulations
6 Importing and Exporting Data in R
7 Summarizing Data: Descriptive Statistics
8 Summarizing Data: Plots
9 Simple Regression
10 Multivariate Regression and Hypothesis Testing
11 Basic Graphics
12 Graphics with ggplot2
13 Programming in R
14 Publishing with R Markdown
15 Simulation
16 R Practice Problems

An Introduction to R Programming

Chapter 15 Simulation

Examples:

CLT
Solving Mohthy Hall problem by simulation