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 LearnWrite and document R functionsMake an R package and share it via GitHub or privatelyAdd tests to R code to insure it works as intendedBuild packages automatically with GitHubUse R to talk directly to databases and do complex data managementRun R in the Amazon cloudGenerate 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.

Matt Wiley is a tenured, associate professor of mathematics with awards in both mathematics education and honour student engagement. He holds degrees in pure mathematics and a minor in computer science from the University of California system along with a degree in business administration through the Texas A&M system. He is the 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. When not traveling for conferences or vacations (across the States and Australia respectively), he enjoys spending quiet time with Charlie, his screensaver goldfish.