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Matt Wiley - Using PostgreSQL, AWS, and Shiny

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Matt Wiley Using PostgreSQL, AWS, and Shiny

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Matt Wiley - Using PostgreSQL, AWS, and Shiny
Using PostgreSQL, AWS, and Shiny
Matt Wiley
Using PostgreSQL, AWS, and Shiny
Matt Wiley - Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization
Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization
Matt Wiley
Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization

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Matt Wiley and Joshua F Wiley Advanced R 4 Data Programming and the Cloud - photo 1
Matt Wiley and Joshua F. Wiley
Advanced R 4 Data Programming and the Cloud
Using PostgreSQL, AWS, and Shiny
2nd ed.
Matt Wiley Victoria College Victoria TX USA Joshua F Wiley Monash - photo 2
Matt Wiley
Victoria College, Victoria, TX, USA
Joshua F. Wiley
Monash University, Melbourne, VIC, Australia

Any source code or other supplementary material referenced by the author in this book is available to readers on GitHub via the books product page, located at www.apress.com/9781484259726 . For more detailed information, please visit http://www.apress.com/source-code .

ISBN 978-1-4842-5972-6 e-ISBN 978-1-4842-5973-3
https://doi.org/10.1007/978-1-4842-5973-3
Matt Wiley and Joshua F. Wiley 2020
This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.
The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Distributed to the book trade worldwide by Apress Media, LLC, 1 New York Plaza, New York, NY 10004, U.S.A. Phone 1-800-SPRINGER, fax (201) 348-4505, e-mail orders-ny@springer-sbm.com, or visit www.springeronline.com. Apress Media, LLC is a California LLC and the sole member (owner) is Springer Science + Business Media Finance Inc (SSBM Finance Inc). SSBM Finance Inc is a Delaware corporation.
Acknowledgments
The authors would like to thank the vibrant R community for their hard work, their cleverness, their willingness to create and share, and most importantly their kindness to new learners. One author remembers first getting into programming (in a different language than R ) and very early on trying to use an early incarnation of search engine to discover what rtfm meant. One of R s best community features is a willingness to share and not mistake new learner for someone to be hazed. This civility is something to nurture and cherish.

...an elegant weapon for a more civilized age.

Ben Kenobi

We would also like to thank Andrew for sticking with us for a second edition and a bleeding-edge version release of R . Thank you, Andrew.

Last, and not least, we would like to thank our family. You continue to support us through a lot of late evenings, early mornings, and the times in between. Thank you.

Table of Contents
About the Authors
Matt Wiley
leads institutional effectiveness research and assessment at Victoria - photo 3
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 coauthors 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. Matt enjoys being found online via Twitter @matt math or http://mattwiley.org/ .

Joshua F. Wiley
is a lecturer in the Turner Institute for Brain and Mental Health and School of - photo 4

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 postdoctoral training in primary care and prevention. His research uses advanced quantitative methods to understand the dynamics between psychosocial factors, sleep, and other health behaviors in relation to psychological and physical health. He develops or codevelops 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 to explore data or speed up analysis in JWileymisc. Joshua enjoys being found online via Twitter @WileyResearch or http://joshuawiley.com/ .

About the Technical Reviewer
Andrew Moskowitz
is an analytics and data science professional in the entertainment industry - photo 5

is an analytics and data science professional in the entertainment industry focused on understanding user behavior, marketing attribution, and efficacy and using advanced data science concepts to address business problems. He earned his PhD in quantitative psychology at the University of California, Los Angeles, where he focused on hypothesis testing and mixed-effects models.

Matt Wiley and Joshua F. Wiley 2020
M. Wiley, J. F. Wiley Advanced R 4 Data Programming and the Cloud https://doi.org/10.1007/978-1-4842-5973-3_1
1. Programming Basics
Matt Wiley
(1)
Victoria College, Victoria, TX, USA
(2)
Monash University, Melbourne, VIC, Australia

As with most languages, becoming a power user requires extra understanding of the underlying structure or rules. Data science through R is powerful, and this chapter discusses such programming basics including objects

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