R Tutorial



INTRODUCTION TO R


Introduction to R Programming

R is a powerful programming language and software environment used mainly for statistical computing, data analysis, and graphical representation. It is widely popular among statisticians, data scientists, and researchers.

Note:

R is open-source and free to use. It supports a rich ecosystem of packages to extend its capabilities.

πŸ” What Can You Do With R?

  • Perform statistical tests and data manipulation
  • Create visualizations and charts
  • Build machine learning models
  • Automate data analysis workflows

πŸ§‘β€πŸ’» Basic Syntax and Example

Here’s a simple example to get you started with R:

# Assign a value to a variable
x <- 10

# Print the value
print(x)

# Basic arithmetic
y <- x * 5
print(y)
  

πŸ“Š Running Your First R Script

You can run R scripts using:

  • R Console: Interactive prompt where you type commands directly.
  • RStudio IDE: A popular integrated development environment with tools for scripting, visualization, and package management.
  • Command Line: Running scripts from terminal with Rscript yourfile.R.

πŸ’‘ Tips for Beginners

  • Use # to add comments in your code for clarity.
  • Explore the vast package ecosystem with install.packages("package_name").
  • Practice data visualization with libraries like ggplot2.

Quick Tip:

To learn R effectively, start by working with simple datasets and gradually explore data cleaning, transformation, and visualization.


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