Book Image

Mastering RStudio: Develop, Communicate, and Collaborate with R

4 (1)
Book Image

Mastering RStudio: Develop, Communicate, and Collaborate with R

4 (1)

Overview of this book

RStudio helps you to manage small to large projects by giving you a multi-functional integrated development environment, combined with the power and flexibility of the R programming language, which is becoming the bridge language of data science for developers and analyst worldwide. Mastering the use of RStudio will help you to solve real-world data problems. This book begins by guiding you through the installation of RStudio and explaining the user interface step by step. From there, the next logical step is to use this knowledge to improve your data analysis workflow. We will do this by building up our toolbox to create interactive reports and graphs or even web applications with Shiny. To collaborate with others, we will explore how to use Git and GitHub and how to build your own packages to ensure top quality results. Finally, we put it all together in an interactive dashboard written with R.
Table of Contents (17 chapters)
Mastering RStudio – Develop, Communicate, and Collaborate with R
About the Authors
About the Reviewer

Using branches

A big advantage of Git is that we can not only use it really well for smaller projects, on which just a few people work, but also for much bigger software projects on which several hundred developers work. And so, Git provides a lot of different tools to manage all kinds of different situations.

One of the most important functions is called Branches. They give us the ability to try out something experimental or split our commits. The default branch is master. So, you actually have already been using branches, as this branch was where you committed all your changes to.

We can create our own branches with the checkout function:

git checkout –b <branch name>

After we create our new branch, we can see it in the Git pane in RStudio. So, we can actually choose in what branch we want to commit our staged changes.

To actually to use the push and pull functions with this branch, we need to tell RStudio that there is a remote equivalent connected to this local branch. We can do this...