Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Mastering RStudio: Develop, Communicate, and Collaborate with R

You're reading from   Mastering RStudio: Develop, Communicate, and Collaborate with R Harness the power of RStudio to create web applications, R packages, markdown reports and pretty data visualizations

Arrow left icon
Product type Paperback
Published in Dec 2015
Publisher Packt
ISBN-13 9781783982547
Length 348 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Toc

Table of Contents (12) Chapters Close

Preface 1. The RStudio IDE – an Overview FREE CHAPTER 2. Communicating Your Work with R Markdown 3. R Lesson I – Graphics System 4. Shiny – a Web-app Framework for R 5. Interactive Documents with R Markdown 6. Creating Professional Dashboards with R and Shiny 7. Package Development in RStudio 8. Collaborating with Git and GitHub 9. R for your Organization – Managing the RStudio Server 10. Extending RStudio and Your Knowledge of R 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...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image