Introduction

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

1. Read our introduction to R
2. Download Microsoft R Open or R
3. Install Microsoft R Open or R
4. Get an R IDE
5. Explore these beginner resources
6. 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:

• Our R blog articles for beginners.

• What are R Packages?.

Get Started. Make Your Own Plot and More!

• Learn how to plot a graph in R.

• Check out these examples of basic statistics.

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