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

Using one markup language for all types of documents – rmarkdown


As mentioned earlier, Markdown is a popular markup language developed by John Gruber.

This language is based on the principle of the supremacy of plain text documents over all other kinds of format.

Plain text is the base for any subsequent kind of manipulation and will be always readable without any particular software. This will let your work be usable and understandable for years to come and will not let you become the hostage of a particular software provider.

Rmarkdown integrates the Markdown language with some facilities for R code integration, which lets you show results from running R code, such as plots or tables, in a Markdown document.

Getting ready

Let’s warm up by installing and loading the required packages:

install.packages(“rmarkdown”)
install.packages(“knitr")
library(rmarkdown)
library(knitr)

How to do it...

  1. Create a new R Markdown document:

  2. Remove the default content from the document, except for YAML parameters...