---
title: "Bridge to R"
slug: "bridge-to-r"
updated: 2021-09-21T13:10:51Z
published: 2021-09-21T13:10:51Z
canonical: "userguide.dataclassroom.com/bridge-to-r"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://userguide.dataclassroom.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Bridge to R

If you have mastered the basics of data visualization and understand statistical tests, but want to take it to the next level in your study, then using **R** from the [R Project](https://www.r-project.org/) is a common goal.

![](https://cdn.document360.io/62f8f41e-e041-42c4-b9bc-8ae1eb45d064/Images/Documentation/image-1631195490142.png)

The two main advantages:

- It can be daunting to learn a whole new language, so it is very helpful to have some **working** **examples** to get you started.
- Installation of complicated software on your PC can be tricky. DataClassroom lets you skip this step (at first) and lets you **run the code** on DataClassroom's computers.

### How to use

Under the **Advanced** features of the [Graph-Driven Test](/v1/docs/graph-driven-tests) screen you will see the "**Try this in R**" button.

![](https://cdn.document360.io/62f8f41e-e041-42c4-b9bc-8ae1eb45d064/Images/Documentation/image-1631195769845.png)

This button takes your **current settings for both graph and hypothesis** test, and produces **scripts that you can run in R** to reproduce these results.

To save you the trouble of installing R, you can also **run the scripts on R** within DataClassroom, and see the results immediately.

![](https://cdn.document360.io/62f8f41e-e041-42c4-b9bc-8ae1eb45d064/Images/Documentation/image-1631196239568.png)

### Running on your own R or Rstudio installation

If you have your own R setup, you can just copy the script from the window and paste it into your own program.

There are two options for getting the actual data transferred:

- Check "**Include data in script**" and then just copy/paste the script with data included
- Click "**Download data as CSV**" and then use the read.csv() command in the script to load the data into R

You may need to edit the read.csv() command to locate the file where it has downloaded, or move the file to where R usually looks for files.

### Acknowledgements

*The [R logo](https://www.r-project.org/logo/) is the property of the R Foundation and is reproduced here under [license](https://creativecommons.org/licenses/by-sa/4.0/).*