Advanced R 4 Data Programming and the Cloud: Using PostgreSQL, AWS, and Shiny, 2nd Edition

Advanced R 4 Data Programming and the Cloud: Using PostgreSQL, AWS, and Shiny
By 作者:Matt Wiley and Joshua F. Wiley
pages 页数: 448 pages
Publisher Finelybook 出版社: Apress; 2nd ed. edition (17 July 2020)
Language 语言: English
ISBN-10 书号:1484259726
ISBN-13 书号:9781484259726
The Book Description robot was collected from Amazon and arranged by Finelybook
Program for data analysis using R and learn practical skills to make your work more efficient. This revised book explores how to automate running code and the creation of reports to share your results, as well as writing functions and packages. It includes key R 4 features such as a new color palette for charts, an enhanced reference counting system, and normalization of matrix and array types where matrix objects now formally inherit from the array class, eliminating inconsistencies.
Advanced R 4 Data Programming and the Cloud is not designed to teach advanced R programming nor to teach the theory behind statistical procedures. Rather, it is designed to be a practical guide moving beyond merely using R; it shows you how to program in R to automate tasks.
This book will teach you how to manipulate data in modern R structures and includes connecting R to databases such as PostgreSQL, cloud services such as Amazon Web Services (AWS), and digital dashboards such as Shiny. Each chapter also includes a detailed bibliography with references to research articles and other resources that cover relevant conceptual and theoretical topics.
What You Will Learn

Write and document R functions using R 4
Make an R package and share it via GitHub or privately
Add tests to R code to ensure it works as intended
Use R to talk directly to databases and do complex data management
Run R in the Amazon cloud
Deploy a Shiny digital dashboard
Generate presentation-ready tables and reports using R
Front Matter
1.Programming Basics
2.Programming Utilities
3.Programming Automation
4.Writing Functions
5.Writing Classes and Methods
6.Writing Packages
7.Introduction to data.table
8.Advanced data.table
9.Other Data Management Packages
10.Reading Big Data
11.Getting Your Cloud
12.Cloud Ubuntu for Windows Users
13.Every Cloud Has a Shiny Lining
14.Shiny Dashboard Sampler
15.Dynamic Reports

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