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Welcome to R Science Documentation

Welcome to the comprehensive guide for learning R programming and data analysis! This documentation is designed to take you from beginner to proficient in R programming and data science.

Getting Started

This documentation is organized into two main sections:

📚 R Programming Fundamentals

Learn the core concepts of R programming, from basic syntax to advanced data structures. This section covers:

  • Getting started with R installation and setup
  • Understanding variables and data types
  • Working with vectors and operations
  • Data structures (matrices, lists, data frames)
  • Control flow and loops
  • Creating and using functions
  • Working with R packages

Start Learning R Fundamentals →

📊 Data Analysis with R

Apply your R skills to real-world data analysis tasks. This section covers:

  • Introduction to data analysis workflows
  • Importing and exporting data
  • Data cleaning and transformation
  • Exploratory data analysis
  • Statistical analysis techniques
  • Data visualization with ggplot2
  • Working with real datasets

Start Learning Data Analysis →

How to Use This Documentation

  1. Beginners: Start with R Programming Fundamentals and work through each tutorial sequentially
  2. Experienced Programmers: You may skip ahead to specific topics, but reviewing fundamentals is recommended
  3. Data Analysts: Focus on the Data Analysis with R section, but ensure you understand R basics first

Prerequisites

  • Basic computer literacy
  • No prior programming experience required (though it helps)
  • R or RStudio installed on your computer (see Getting Started)

Happy learning!