Matt Wiley, Joshua F. Wiley

Advanced R (eBook, PDF)

Data Programming and the Cloud

• Format: PDF

Produktbeschreibung

• This book focuses on how to use advanced programming in R to speed up everyday tasks in data analysis and data science.
• This book is unique in its coverage of how to setup R in the cloud and generate dynamic reports for analyses that are regularly repeated, such as monthly analysis of company sales or student grades, enrollment, and dropout in schools each term with projections for future enrollment rates.
• R is quite popular and is relevant in MIS and in terms of revenue on book database engines like Safari, Books24x7.

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Produktdetails

• Verlag: Apress
• Seitenzahl: 279
• Erscheinungstermin: 17. November 2016
• Englisch
• ISBN-13: 9781484220771
• Artikelnr.: 53152923

Autorenporträt

Joshua F. Wiley is a lecturer in the Monash Institute for Cognitive and Clinical Neurosciences and School of Psychological Sciences at Monash University and a senior partner at Elkhart Group Limited, a statistical consultancy. He earned his PhD from the University of California, Los Angeles, and his research focuses on using advanced quantitative methods to understand the complex interplays of psychological, social, and physiological processes in relation to psychological and physical health. In statistics and data science, Joshua focuses on biostatistics and is interested in reproducible research and graphical displays of data and statistical models. Through consulting at Elkhart Group Limited and former work at the UCLA Statistical Consulting Group, he has supported a wide array of clients ranging from graduate students, to experienced researchers, and biotechnology companies. He also develops or co-develops a number of R packages including varian, a package to conduct Bayesian scale-location structural equation models, and MplusAutomation, a popular package that links R to the commercial Mplus software.

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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