
Engineering Production-Grade Shiny Apps by Colin Fay
This book covers medium to advanced content about Shiny, so it will help people that are already familiar with building apps with Shiny, and who want to go one step further.-
Using R for Introductory Statistics
-
R Markdown
-
Statistical Computing with R, Second Edition
-
Hands-On Machine Learning with R
-
Graphical Data Analysis with R
-
Introduction to Scientific Programming and Simulation Using R
-
Advanced R, Second Edition
-
Extending R
-
Work Automation with R
- R for Social Network Analysis
-
Stated Preference Methods Using R
-
Introduction to Forestry Data Analysis with R
-
Simulation and Power Analysis Using R
-
R and MATLAB
-
The Essentials of Data Science: Knowledge Discovery Using R
-
blogdown
-
Statistical Computing in C++ and R
-
Model-Based Clustering, Classification, and Density Estimation Using mclust in R
-
Using R for Modelling and Quantitative Methods in Fisheries
-
Analyzing Baseball Data with R
-
Parallel Computing for Data Science
-
Reproducible Research with R and RStudio
-
Computational Actuarial Science with R
-
Using the R Commander
-
Implementing Reproducible Research
-
R for Conservation and Development Projects
-
Distributions for Modeling Location, Scale, and Shape
-
Interactive Web-Based Data Visualization with R, plotly, and shiny
-
R Markdown Cookbook
-
Learn R
-
Interactively Exploring High-Dimensional Data and Models in R
-
Displaying Time Series, Spatial, and Space-Time Data with R
-
Copula Additive Distributional Regression Using R
-
Introductory Fisheries Analyses with R
-
Introduction to Political Analysis in R
"ThinkR’s book is a gradual and pleasant invitation to the production-ready shiny apps worldIt focuses on the unfortunately too often forgotten general principles necessary to be successful in this quest, before exposing a comprehensive and robust workflow powered by the {golem} package. This books fills the not yet covered gap between shiny app development and deployment in such a thrilling way that it may be read in one sitting. Readers will appreciate the number of exclusive references like {shinypsum}, {gargoyle}, {crrry} and {dockerfiler} that will definitely help them to reach the production-ready graal. In the industry world, where processes robustness is a key toward productivity, this book will indubitably have a tremendous impact."
– David Granjon, Sr. Expert Data Science, Novartis
"[This book] contains an excellent blend of both Shiny-specific topics … and practical advice from software development that fits in nicely with Shiny apps. You will find many nuggets of wisdom sprinkled throughout these chapters…."
– Eric Nantz, Host of the R-Podcast and the Shiny Developer Series (from the Foreword)
Colin Fay has written the vast majority of this book. He’s responsible for its general structure, and for the original designer of the workflow described. Most of the time (if not every time) “we” actually refers to him. He is the lead developer of the {golem} framework, and creator of many tools described in this book. Colin works at ThinkR, a french agency focused on everything R-related. During the day, he helps companies to take full advantage of the power of R, by building tools (packages, web apps…) and setting up infrastructure. His main areas of expertise are data & software engineering, infrastructure, web applications (front-end and back-end), and R in production. During the night, Colin is also an hyperactive open source developer and an open data advocate. You can find a lot of his work on his GitHub account (https://github.com/ColinFay) and on ThinkR’s account (https://github.com/thinkr-open). He is also active in the R & Data community, and an international speaker.
Sébastien Rochette has been instrumental in the review of most of this book chapters. He has also written the section about prototyping in RMarkdown, a concept he initiated. Sébastien is a data scientist at ThinkR, where he teaches anything R related from beginner to expert level, guides R developers towards implementation of best practices, and creates tailor-made R solutions for the needs of his customers.
Vincent Guyader is the founder of ThinkR. He created the first proof-of-concept of a framework for {shiny} applications inside packages ; an idea which has led to the creation of {golem}. If you feel like a GitHub archaeologist, this very first version is still available with a little bit of exploration! With more than 10 years of experience with R, and a scientific and technical background, Vincent is an R-enthusiast. He still has his hands in the code, whether to develop applications, analyze data or build packages. When he’s not coding, he plays with Docker and manages servers. He strongly believes that meeting highly technical challenges is not incompatible with pedagogy: he passionately trains very diverse learner profiles at R.
Cervan Girard has worked on some of the example applications that are used inside this book, namely {shinipsumdemo}, {databasedemo}, {graysacle}, {bs4dashdemo}, and {shinyfuture}. Cervan is Data Scientist at ThinkR. He is enthusiastic and motivated when it comes to rolling up his sleeves for new challenges, even if it means venturing dangerously into the depths of R, learning new languages and experimenting outside your comfort zone. Whatever the challenge, he remains reliable, constructive and efficient when it comes to using his skills to train or develop. He also enjoys training learners of all levels in the R language.
| SKU | Unavailable |
| ISBN 13 | 9780367444679 |
| ISBN 10 | 0367444674 |
| Title | Engineering Production-Grade Shiny Apps |
| Author | Colin Fay |
| Series | Chapman And Hall Crc The R Series |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Taylor & Francis Ltd |
| Year published | 2021-09-29 |
| Number of pages | 364 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |

































