Welcome to the Introduction to R Programming section! If you're new to R or looking to enhance your skills, this guide will help you get started. R is a powerful programming language and software environment for statistical computing and graphics. It's widely used among statisticians and data miners for developing statistical software and data analysis.

Basic Concepts

Here are some fundamental concepts in R:

  • Variables: R uses variables to store data.
  • Data Types: R has several data types, such as numeric, character, and logical.
  • Functions: R has a rich set of built-in functions for various tasks.

Getting Started

To begin with R, you need to install the R software and RStudio, an integrated development environment (IDE) for R.

Learning Resources

Common Commands

Here's a quick overview of some common R commands:

  • print(): Prints the result of an expression.
  • mean(): Calculates the mean of a numeric vector.
  • sum(): Calculates the sum of a numeric vector.

Example

# Example of a simple R script
x <- 5
print(x)

Practice

Practice is key to mastering R. Try the following exercises:

  1. Create a variable named age and assign a value of 25 to it.
  2. Calculate the square of age using the ^ operator.

Resources

For more information, check out the following resources:

R Programming

Note: Always refer to the official documentation for the most accurate and up-to-date information.