Syllabus

The complete module-and-topic map of the book. Click any module to open its overview, or jump straight to a numbered topic.

Four-Module Path · 26 Topics

IIntroduction to R Programming8 topics

Getting Started with R

1Introduction to R 2Purpose and Advantages of Using R 3Setting Up the R Environment and IDEs

R Language Fundamentals

4Basic Syntax, Variables, and Naming Conventions 5Input and Output Statements 6Basic Data Types and Type Casting

Operators and Data Structures Overview

7Types of Operators in R 8Role and Purpose of Data Structures in R

IIData Structures and Operations in R7 topics

Vectors in R

9Vectors: Creation, Sequence, and Length 10Vector Operations: Sorting, Ordering, Recycling, and Missing Values 11Arithmetic, Relational, and Logical Operations on Vectors

Lists in R

12Lists: Creation, Accessing, and Modification 13Operations on Lists: Appending, Nesting, and Manipulation

Matrices and Arrays

14Matrices in R 15Arrays in R

IIIDescriptive Analytics with R5 topics

Working with Strings

16Strings: Creation, Concatenation, and Substrings 17Advanced String Operations and Functions

Data Frames and Factors

18Data Frames: Creation, Access, and Manipulation 19Advanced Data Frame Operations with dplyr 20Factors: Creation, Levels, and Reordering

IVConditional Statements, Loops, and Functions6 topics

Conditional Statements

21Conditional Statements: If, If-Else, and Switch 22Logical Operators in Conditional Statements

Loops in R

23Loops in R: For, While, and Repeat 24Iterating Loops Over Data Structures

Functions in R

25Functions: Purpose, Types, and Creation 26Advanced Functions: Recursive, Closure, and Nested