Advanced R 4 Data Programming and the Cloud

Matt Wiley leads institutional effectiveness, research, and assessment at Victoria College, facilitating strategic and unit planning, data-informed decision making, and state/regional/federal accountability. As a tenured, associate professor of mathematics, he won awards in both mathematics education (California) and student engagement (Texas). Matt earned degrees in computer science, business, and pure mathematics from the University of California and Texas A&M systems. Outside academia, he co-authors books about the popular R programming language and was managing partner of a statistical consultancy for almost a decade. He has programming experience with R, SQL, C++, Ruby, Fortran, and JavaScript. A programmer, a published author, a mathematician, and a transformational leader, Matt has always melded his passion for writing with his joy of logical problem solving and data science. From the boardroom to the classroom, he enjoys finding dynamic ways to partner with interdisciplinary and diverse teams to make complex ideas and projects understandable and solvable. Joshua F. Wiley is a lecturer in the Turner Institute for Brain and Mental Health and School of Psychological Sciences at Monash University. He earned his PhD from the University of California, Los Angeles and completed his post-doctoral training in primary care and prevention. His research uses advanced quantitative methods to understand the dynamics between psychosocial factors, sleep and other health behaviours in relation to psychological and physical health. He develops or co-develops a number of R packages including varian, a package to conduct Bayesian scale-location structural equation models, MplusAutomation, a popular package that links R to the commercial Mplus software, extraoperators for faster logical operations, multilevelTools for diagnostics, effect sizes, and easy display of multilevel / mixed effects models results, and miscellaneous functions toexplore data or speed up analysis in JWileymisc.

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.