Advanced R 4 Data Programming and the Cloud: Using PostgreSQL, AWS, and Shiny. Este artículo no está disponible.
Idioma: inglés
Editorial: APress, 2020
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- Nuevo

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N° de ref. del artículo B9781484259726
- Título
- Advanced R 4 Data Programming and the Cloud: Using PostgreSQL, AWS, and Shiny
- Autor
- Matt Wiley
- Editorial
- APress
- Año de publicación
- 2020
- Estado
- New
- Encuadernación
- Paperback / softback
- Idioma
- inglés
- ISBN 10
- 1484259726
- ISBN 13
- 9781484259726
- Edición
- 2ª Edición
- Peso del artículo
- 795 gramos
- Write and document R functions using R 4
- Make an R package and share it via GitHub or privately
- Add tests to R code to ensure it works as intended
- Use R to talk directly to databases and do complex data management
- Run R in the Amazon cloud
- Deploy a Shiny digital dashboard
- Generate presentation-ready tables and reports using R
“Sinopsis” puede pertenecer a otra edición de este título.
Acerca del autor
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.
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