Book Image

RStudio for R Statistical Computing Cookbook

By : Andrea Cirillo
Book Image

RStudio for R Statistical Computing Cookbook

By: Andrea Cirillo

Overview of this book

The requirement of handling complex datasets, performing unprecedented statistical analysis, and providing real-time visualizations to businesses has concerned statisticians and analysts across the globe. RStudio is a useful and powerful tool for statistical analysis that harnesses the power of R for computational statistics, visualization, and data science, in an integrated development environment. This book is a collection of recipes that will help you learn and understand RStudio features so that you can effectively perform statistical analysis and reporting, code editing, and R development. The first few chapters will teach you how to set up your own data analysis project in RStudio, acquire data from different data sources, and manipulate and clean data for analysis and visualization purposes. You'll get hands-on with various data visualization methods using ggplot2, and you will create interactive and multidimensional visualizations with D3.js. Additional recipes will help you optimize your code; implement various statistical models to manage large datasets; perform text analysis and predictive analysis; and master time series analysis, machine learning, forecasting; and so on. In the final few chapters, you'll learn how to create reports from your analytical application with the full range of static and dynamic reporting tools that are available in RStudio so that you can effectively communicate results and even transform them into interactive web applications.
Table of Contents (15 chapters)
RStudio for R Statistical Computing Cookbook
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Index

Writing and styling PDF documents with RStudio


Even in the era of the Internet, PDF documents are a really convenient way to share your results.

That is probably why RStudio provides you with an easy way to create PDF documents from your R Markdown documents.

Getting ready

To produce PDF documents from our device, we first need to install the latest distribution of a convenient LaTeX engine.

On Apple devices, we suggest downloading the latest Mactex version from http://tug.org/mactex/mactex-download.html, while Windows users can download Miktext from http://miktex.org/download.

Linux users can use Texlive, which can be found at https://www.tug.org/texlive/quickinstall.html.

How to do it...

  1. Create a new R Markdown document, specifying PDF as output:

  2. Render your PDF document.

    Rendering your PDF document simply involves hitting the Knit PDF button:

There’s more...

In the R Markdown framework, PDF is just one of the possible output formats. All possible customizations available within the R Markdown format...