Welcome to the R Language Tutorial! 🌟 R is a powerful programming language and environment for statistical computing and data analysis. Whether you're a beginner or looking to refine your skills, this guide will help you get started with R. 🧠

📌 1. Getting Started with R

  • Install R: Download from R Project官网 and choose your OS.
  • Run R: Use RStudio or any IDE supporting R. 💻
  • Basic Syntax:
    • Variables: x <- 5
    • Data Types: numeric, character, logical, etc. 🧮
    • Vector: c(1, 2, 3)
    • Matrix: matrix(data, nrow, ncol)
    • Data Frame: data.frame(column1, column2) 📊

🎯 2. Key Features of R

  • Data Visualization: Create plots with ggplot2 or base R graphics. 📈
  • Statistical Analysis: Perform regression, hypothesis testing, etc. 📊
  • Machine Learning: Use packages like caret or randomForest. 🤖
  • Extensive Libraries: Over 10,000+ packages for specialized tasks. 📦

🧪 3. Practical Examples

  • Example 1: Analyze a dataset using summary().
    Data_Analysis
  • Example 2: Generate a histogram with hist().
    Data_Visualization
  • Example 3: Fit a linear model with lm().
    Statistical_Analysis

📚 4. Further Learning

Explore advanced topics like data manipulation with R Data Analysis or learn about R's ecosystem. 🌐

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