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R for Data Science Cookbook (n)

You're reading from   R for Data Science Cookbook (n) Over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniques

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Product type Paperback
Published in Jul 2016
Publisher
ISBN-13 9781784390815
Length 452 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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Yu-Wei, Chiu (David Chiu) Yu-Wei, Chiu (David Chiu)
Author Profile Icon Yu-Wei, Chiu (David Chiu)
Yu-Wei, Chiu (David Chiu)
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Toc

Table of Contents (14) Chapters Close

Preface 1. Functions in R FREE CHAPTER 2. Data Extracting, Transforming, and Loading 3. Data Preprocessing and Preparation 4. Data Manipulation 5. Visualizing Data with ggplot2 6. Making Interactive Reports 7. Simulation from Probability Distributions 8. Statistical Inference in R 9. Rule and Pattern Mining with R 10. Time Series Mining with R 11. Supervised Machine Learning 12. Unsupervised Machine Learning Index

Creating R Markdown reports

RStudio has an R Markdown workflow built in; we can use its GUI to create markdown reports in HTML, PDF, slide, or Microsoft Word format. In this recipe, we will introduce how to build an R Markdown report with RStudio.

Getting ready

Ensure you have installed the latest versions of R and RStudio on your operating system. If you have not yet installed RStudio, please visit the following URL to download the most recent version:

https://www.rstudio.com/products/rstudio/download/

How to do it…

Please perform the following steps to create an R Markdown report:

  1. First, click on File | New File | R Markdown on the menu bar:
    How to do it…

    Figure 1: Create an R Markdown report

  2. Next, select the document type in the left-hand side menu, then fill in the Title and Author, and choose the output format in the right-hand side menu:
    How to do it…

    Figure 2: Fill in the meta information of an R Markdown report

  3. Moving on, we can now see a markdown document with a YAML header and content in markdown syntax. You...
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