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Learning R Programming

You're reading from   Learning R Programming Language, tools, and practical techniques

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Product type Paperback
Published in Oct 2016
Publisher Packt
ISBN-13 9781785889776
Length 582 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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Kun Ren Kun Ren
Author Profile Icon Kun Ren
Kun Ren
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Toc

Table of Contents (16) Chapters Close

Preface 1. Quick Start FREE CHAPTER 2. Basic Objects 3. Managing Your Workspace 4. Basic Expressions 5. Working with Basic Objects 6. Working with Strings 7. Working with Data 8. Inside R 9. Metaprogramming 10. Object-Oriented Programming 11. Working with Databases 12. Data Manipulation 13. High-Performance Computing 14. Web Scraping 15. Boosting Productivity

Using rlist to work with nested data structures

In the previous chapter, you learned about both relational databases that store data in tables and non-relational databases that support nested data structures. In R, the most commonly used nested data structure is a list object. All previous sections focus on manipulating tabular data. In this section, let's play with the rlist package I developed, which is designed for manipulating non-tabular data.

The design of rlist is very similar to dplyr. It provides mapping, filtering, selecting, sorting, grouping, and aggregating functionality for list objects. Run the following code to install the rlist package from CRAN:

install.packages("rlist") 

We have the non-tabular version of the product data stored in data/products.json. In this file, each product has a JSON representation as follows:

{ 
    "id": "T01", 
    "name": "SupCar", 
    "type": "toy", 
    &quot...
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