Get 40% off of select print and eBooks in Engineering & Materials Science!

R Data Science Quick Reference

A Pocket Guide to APIs, Libraries, and Packages

Authors: Mailund, Thomas

Free Preview
  • The first quick reference of its kind dealing with data science using R
  • Covers the specific APIs and packages that let you build R-based data science applications
  • Also covers how to use these packages to do data analysis using R
see more benefits

Buy this book

eBook $24.99
price for USA in USD (gross)
  • ISBN 978-1-4842-4894-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $32.99
price for USA in USD
  • ISBN 978-1-4842-4893-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

In this handy, practical book you will cover each concept concisely, with many illustrative examples. You'll be introduced to several R data science packages, with examples of how to use each of them. 
In this book, you’ll learn about the following APIs and packages that deal specifically with data science applications: readr, dibble, forecasts, lubridate, stringr, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, and more.
After using this handy quick reference guide, you'll have the code, APIs, and insights to write data science-based applications in the R programming language.  You'll also be able to carry out data analysis.  

What You Will Learn

  • Import data with readr
  • Work with categories using forcats, time and dates with lubridate, and strings with stringr
  • Format data using tidyr and then transform that data using magrittr and dplyr
  • Write functions with R for data science, data mining, and analytics-based applications
  • Visualize data with ggplot2 and fit data to models using modelr

Who This Book Is For
Programmers new to R's data science, data mining, and analytics packages.  Some prior coding experience with R in general is recommended.  

About the authors

Thomas Mailund is an associate professor at Aarhus University, Denmark. He has a background in math and computer science.  For the last decade, his main focus has been on genetics and evolutionary studies, particularly comparative genomics, speciation, and gene flow between emerging species.  He has published Beginning Data Science in R, Functional Programming in R, and Metaprogramming in R with Apress as well as other books.  

Table of contents (13 chapters)

Table of contents (13 chapters)
  • Introduction

    Pages 1-3

    Mailund, Thomas

  • Importing Data: readr

    Pages 5-31

    Mailund, Thomas

  • Representing Tables: tibble

    Pages 33-43

    Mailund, Thomas

  • Reformatting Tables: tidyr

    Pages 45-69

    Mailund, Thomas

  • Pipelines: magrittr

    Pages 71-81

    Mailund, Thomas

Buy this book

eBook $24.99
price for USA in USD (gross)
  • ISBN 978-1-4842-4894-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $32.99
price for USA in USD
  • ISBN 978-1-4842-4893-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
R Data Science Quick Reference
Book Subtitle
A Pocket Guide to APIs, Libraries, and Packages
Authors
Copyright
2019
Publisher
Apress
Copyright Holder
Thomas Mailund
Distribution Rights
Standard Apress distro
eBook ISBN
978-1-4842-4894-2
DOI
10.1007/978-1-4842-4894-2
Softcover ISBN
978-1-4842-4893-5
Edition Number
1
Number of Pages
IX, 246
Number of Illustrations
11 b/w illustrations
Topics