- ホーム
- > 洋書
- > 英文書
- > Computer / Languages
Full Description
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
Who This Book Is For
Working professionals, researchers, and students who are familiar with R and basic statistical techniques such as linear regression and who want to learn how to take their R coding and programming to the next level.
Contents
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 and the Cloud.- Bibliography.
