R Data Science Quick Reference [electronic resource] A Pocket Guide to APIs, Libraries, and Packages / by Thomas Mailund.

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 s...

Full description

Bibliographic Details
Main Author:	Mailund, Thomas (Author)
Corporate Author:	SpringerLink (Online service)
Language:	English
Published:	Berkeley, CA : Apress : Imprint: Apress, 2019.
Edition:	1st ed. 2019.
Subjects:	Compilers (Computer programs). Computer programming. Big data. Data mining.
Online Access:	Springer Professional and Applied Computing eBooks 2019 English/International: 2019 (Springer Link)
Variant Title:	R Data Science Quick Reference: A Pocket Guide to APIs, Libraries, and Packages
Format:	Electronic eBook

Contents:

1. Introduction
2. Importing Data: readr
3. Representing Tables: tibble
4. Reformatting Tables: tidyr
5. Pipelines: magrittr
6. Functional Programming: purrr
7. Manipulating Data Frames: dplyr
8. Working with Strings: stringr
9. Working with Factors: forcats
10. Working with Dates: lubridate
11. Working with Models: broom and modelr
12. Plotting: ggplot2
13. Conclusions.