Unit I
Chapter 1 – Introduction to R Programming
1.1 What is R?
1.2 Physiognomies of R
1.3 Installing and Running R
1.4 R Sessions
1.5 R Environment
1.6 Historical Developments
1.7 Advantages of using R
1.8 Disadvantages of using R
Chapter 2 – Hands-On R Coding
2.1 Vectors in R
2.2 Functions in R
2.3 Advanced Data Structures
2.4 Basic Math
Chapter 3 – R Programming Structures
3.1 Constant
3.2 Variable
3.3 Expressions
3.4 Reserved Words in R
3.5 Data Types in R
Unit II
Chapter 4 – Operators in R
4.1 Introduction
4.2 R Arithmetic Operators
4.3 R Relational Operators
4.4 R Logical Operators
4.5 R Assignment Operators
4.6 Operators Precedence and Associativity
Chapter 5 – Control Statements in R
5.1 Introduction
5.2 Sequential Statements
5.3 Branching or Decision-Making Statements
5.4 Looping or Iterative Statements
5.5 Control Statements
Chapter 6 – Functions in R
6.1 Introduction
6.2 Return Value from a Function
6.3 Function without Return
6.4 Multiple Returns
6.5 Recursion
6.6 Quicksort
6.7 Binary Search Tree
Chapter 7 – Strings in R
7.1 Introduction
7.2 Rules for Constructing Strings in R
7.3 Rules for Manipulating Strings
Chapter 8 – Matrices in R
8.1 Introduction
8.2 Creating Matrices
8.3 Accessing Elements of Matrices
8.4 Matrix Computations
8.5 Matrix Addition and Subtraction
8.6 Matrix Multiplication and Division
Unit III
Chapter 9 – Math and Simulation
9.1 Introduction
9.2 Math Functions
9.3 Extended Example: Calculating a Probability
9.4 Cumulative Sums and Products
9.5 Minima and Maxima
9.6 Calculus
9.7 Statistics Based Distribution Functions
9.8 Sorting
9.9 Linear Algebraic Operations: Vectors and Matrices
9.10 Extended Example: Vector Cross Product
9.11 Extended Example: Finding Stationary Distribution of Markov Chains
9.12 The Set Operations
9.13 Simulation Programming in R
Chapter 10 – Input/Output in R
10.1 Introduction
10.2 Accessing the Keyboard and Monitor
10.3 Reading and Writing Files
Unit IV
Chapter 11 – Charts and Graphs in R
11.1 Introduction
11.2 R Bar Plot
11.3 Histograms
11.4 Pie-Chart
11.5 R Box Plot
11.6 Strip Chart in R
Chapter 12 – R Color
12.1 Introduction
12.2 Specifying Color Names
12.3 Using Hex Values
12.4 The RGB Values
12.5 Color Cycling
12.6 Color Palette
Chapter 13 – Plot Functions in R
13.1 Introduction
13.2 Titles and Labelling Axes
13.3 Changing Color and Plot Type
13.4 Overlaying Plots
13.5 Multiple Plots
13.6 Save Plots to File
Unit V
Chapter 14 – Probability Distributions and Basic Statistics
14.1 Qualitative Data
14.2 Frequency Distribution of Qualitative Data
14.3 Quantitative Data
14.4 Frequency Distribution of Quantitative Data
14.5 Cumulative Frequency Distribution
14.6 Numerical Measures
14.7 Standard Deviation
14.8 Covariance
14.9 Correlation Coefficient
14.1 Hypothesis Testing
14.11 Probability Distributions
Unit VI
Chapter 15 – Linear Models in R
15.1 Introduction
15.2 Fitting a Model
15.3 Simple Linear Regression
15.4 Multiple Regression
15.5 Generalized Linear Model
15.6 Logistic Regression
15.7 Poisson Regression
15.8 Other Generalized Linear Models
15.9 Survival Analysis
15.10 Non-Linear Models in R
