Authors:
- Demonstrates how to set up and run R in the cloud
- Shows how to leverage applied R programming to make analyses more efficient
- Shows how to generate dynamic reports and tables showcasing results of analyses
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Table of contents (15 chapters)
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Front Matter
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Back Matter
About this book
Program for data analysis using R and learn practical skills to make your work more efficient. This book covers how to automate running code and the creation of reports to share your results, as well as writing functions and packages. Advanced R 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 to programming in R to automate tasks.
This book will show you how to manipulate data in modern R structures and includes connecting R to data bases such as SQLite, PostgeSQL, and MongoDB. The book closes with a hands-on section to get R running in the cloud. 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
- Makean R package and share it via GitHub or privately
- Add tests to R code to insure it works as intended
- Build packages automatically with GitHub
- Use R to talk directly to databases and do complex data management
- Run R in the Amazon cloud
- Generate presentation-ready tables and reports using R
Who This Book Is For
Working professionals, researchers, or 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.
Authors and Affiliations
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Elkhart Group Ltd. & Victoria College, Columbia City, USA
Matt Wiley, Joshua F. Wiley
About the authors
Matt Wiley is a tenured, associate professor of mathematics with awards in both mathematics education and honour student engagement. He earned degrees in pure mathematics, computer science, and business administration through the University of California and Texas A&M systems. He serves as director for Victoria College’s quality enhancement plan and managing partner at Elkhart Group Limited, a statistical consultancy. With programming experience in R, C++, Ruby, Fortran, and JavaScript, he has always found ways to meld his passion for writing with his joy of logical problem solving and data science. From the boardroom to the classroom, Matt enjoys finding dynamic ways to partner with interdisciplinary and diverse teams to make complex ideas and projects understandable and solvable.
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Bibliographic Information
Book Title: Advanced R
Book Subtitle: Data Programming and the Cloud
Authors: Matt Wiley, Joshua F. Wiley
DOI: https://doi.org/10.1007/978-1-4842-2077-1
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Matt Wiley and Joshua F. Wiley 2016
eBook ISBN: 978-1-4842-2077-1Published: 17 November 2016
Edition Number: 1
Number of Pages: XIX, 279
Number of Illustrations: 37 b/w illustrations, 40 illustrations in colour
Topics: Programming Languages, Compilers, Interpreters, Probability and Statistics in Computer Science, Statistics and Computing/Statistics Programs, Programming Techniques