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RStudio for R Statistical Computing Cookbook

You're reading from   RStudio for R Statistical Computing Cookbook Over 50 practical and useful recipes to help you perform data analysis with R by unleashing every native RStudio feature

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Product type Paperback
Published in Apr 2016
Publisher
ISBN-13 9781784391034
Length 246 pages
Edition 1st Edition
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Author (1):
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Andrea Cirillo Andrea Cirillo
Author Profile Icon Andrea Cirillo
Andrea Cirillo
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Table of Contents (10) Chapters Close

Preface 1. Acquiring Data for Your Project 2. Preparing for Analysis – Data Cleansing and Manipulation FREE CHAPTER 3. Basic Visualization Techniques 4. Advanced and Interactive Visualization 5. Power Programming with R 6. Domain-specific Applications 7. Developing Static Reports 8. Dynamic Reporting and Web Application Development 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...

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