Book Image

R for Data Science Cookbook (n)

By : Yu-Wei, Chiu (David Chiu)
Book Image

R for Data Science Cookbook (n)

By: Yu-Wei, Chiu (David Chiu)

Overview of this book

This cookbook offers a range of data analysis samples in simple and straightforward R code, providing step-by-step resources and time-saving methods to help you solve data problems efficiently. The first section deals with how to create R functions to avoid the unnecessary duplication of code. You will learn how to prepare, process, and perform sophisticated ETL for heterogeneous data sources with R packages. An example of data manipulation is provided, illustrating how to use the “dplyr” and “data.table” packages to efficiently process larger data structures. We also focus on “ggplot2” and show you how to create advanced figures for data exploration. In addition, you will learn how to build an interactive report using the “ggvis” package. Later chapters offer insight into time series analysis on financial data, while there is detailed information on the hot topic of machine learning, including data classification, regression, clustering, association rule mining, and dimension reduction. By the end of this book, you will understand how to resolve issues and will be able to comfortably offer solutions to problems encountered while performing data analysis.
Table of Contents (19 chapters)
R for Data Science Cookbook
About the Author
About the Reviewer

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:

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:

    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:

    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 can now...