r-training

A repository for learning and practicing R programming, covering basics to advanced data analysis with examples and exercises.

Skill Track for R Programming Fundamentals

Dive into R programming fundamental data structures!

r-programming-fundamentals:

A comprehensive introduction to R programming language covering fundamental concepts and data structures.

🎯 Learning Objectives

• Understand basic R syntax and data types
• Master vector and matrix operations
• Learn to handle categorical data with factors
• Work with real-world data using data frames
• Organize complex data using lists

📚 Contents

Basic Operations

• Mathematical operations (addition, subtraction, multiplication, division)
• Variable assignment
• Basic arithmetic functions

Data Types

1. Numeric
2. Character
3. Boolean/Logical
4. Vector operations
   • Vector creation and naming
   • Vector arithmetic
   • Vector sorting and selection

Data Structures

1. Matrices

   • Creation and manipulation
   • Real-world example using Star Wars box office data
   • Matrix operations (addition, division)

2. Factors

   • Categorical data handling
   • Ordered and unordered factors
   • Factor level manipulation

3. Data Frames

   • Creating and managing tabular data
   • Data selection and filtering
   • Sample datasets: demographic data and planets information

4. Lists

   • Mixed data type storage
   • Named list operations
   • Complex data structure manipulation