25 September 2021
Yes fellow R friends, the book list keeps growing nicely. Thank you very much to the contributors (both in submissions and for authoring these books!) : Colin Fay , Robert D. Brown III , William Becker and Tony Hirst
JavaScript 4 Shiny – Field Notes
by Colin Fay
JavaScript in practice for Shiny users.
Freely avaiable online.
https://www.bigbookofr.com/shiny.html#javascript-4-shiny—field-notes
Business Case Analysis with R – Simulation Tutorials to Support Complex Business Decisions
Business case analysis, often conducted in spreadsheets, exposes decision makers to additional risks that arise just from the use of the spreadsheet environment. This book discusses how to use the statistical programming language R to develop a business case simulation and analysis. It presents a methodology that minimizes decision delay by focusing stakeholders on what matters most and suggests pathways for minimizing the risk in strategic and capital allocation decisions.
Paid versions
Composite Indicator Development and Analysis in R with COINr
Composite indicators are aggregations of indicators which aim to measure (usually socio-economic) complex and multidimensional concepts which are difficult to define, and cannot be measured directly. Examples include innovation, human development, environmental performance, and so on. This book gives a detailed guide on building composite indicators in R, focusing on the recent COINr package, which is an end-to-end development environment for composite indicators. Although COINr is the main tool used in the book, it also gives general explanation and guidance on composite indicator construction and analysis in R, ranging from normalisation, aggregation, multivariate analysis and global sensitivity analysis.
Free
Wrangling F1 Data With R: A Data Junkie’s Guide
This book describes a range of data analysis and visualisation techniques that can be applied to motorsport timing and results data in general, and Formula One data in particular.
Paid
https://www.bigbookofr.com/sport-analytics.html#wrangling-f1-data-with-r-a-data-junkies-guide
Visualising WRC Rally Stages With rayshader and R: A RallyDataJunkie Adventure
Taking a simple rally route dataset, what can we do with it? This book describes a wide range of techniques for working with geodata, including routes and elevantion rasters. From 2D and 3D mapping, to a wide range of route analysis techniques, the techniques described are also relevant to a wide range of othr route analysis contexts, including ecological trail analysis.
Free online book
Visualising WRC Rally Timing and Results Data: A RallyDataJunkie Adventure
A handy guide to visualising a wide range of motorsport timing and results data, concentrating on rally data associated with the FIA World Rally Championship (WRC).
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