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
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
Index

Understanding R packages


Packages are the most important aspect of the R language to create reproducible code and analysis. They are collections of R functions, data, and compiled code in a very standardized way. This makes it very easy to share them across R users and add new elements from others to already installed packages to take your R analysis to the next level. These packages can help to solve many tasks with R without having to write every single line of code on your own. If you take machine-learning algorithms for example, you can use implementations of these algorithms without the need to implement them line-by-line. Packages are mostly developed in R, but can also contain elements written in other languages such as Java or C++.

R already comes with some preinstalled packages like the base package, which consists of the basic functions to make R a real language. There are many package resources on the Internet. The most important of these libraries for R is Comprehensive R Archive...