# Introduction

The following documentation provides some tips and links to documentation that will help you get started with R.

- Read our introduction to R
- Download Microsoft R Open or R
- Install Microsoft R Open or R
- Get an R IDE
- Explore these beginner resources
- Explore these advanced resources

# Get Your R IDE

After you download and install Microsoft R Open or open R, the next step is to get an integrated development environment, or IDE, for R. One such R IDE is R Tools for Visual Studio and another is RStudio. Your R IDE is where you'll write your code.

# Beginners, Start Here

## Beginner Tutorials

New to R Programming? Jumpstart your learning process using these tutorials and books.

The following tutorials are helpful for beginners.

DataCamp: Learn R & Become a Data Analyst

An Introduction to R: The free, succinct, “official” CRAN R Manual

Try R: a short course that lets you jump right in

Computing for Data Analysis: 4 weeks worth of videos from a popular Coursera course

Get started in Data Science with R: a Kaggle tutorial

## Beginner Publications

Read these introductory publications to learn more about R programming.

R for Dummies by Andrie de Vries and Joris Meys

R for Everyone: Advanced Analytics and Graphics by Jared Lander

Learning R by Richard Cotton

The R Journal: Providing R theory and sample code

## Beginner Articles

Learn more by reading these articles:

## Get Started. Make Your Own Plot and More!

# Read Advanced Materials

If you have experience with R, you can further develop your knowledge and skills reading publications like these.

The Art of R Programming: A tour of Statistical Software Design by Norman Matloff

Advanced R by Hadley Wickham

Software for Data analysis: Programming with R by John Chambers

**Important!**There are hundreds of R programming resources. Some are meant to develop programming skills others focus on using R for specialized topics in Statistics and Data Science. Click to search for more.