I’m very excited to announce that 6 English-language books and 9 Portuguese books have been added to the collection of over 400 free, open-source R programming books.

Many thanks to Bruno Mioto for the submission of the Portuguese books. As a reminder, there is also a Spanish-language chapter with 15 entries. 

And now, onto the English additions!

ggplot2 extended

• Antti Rask

This book is about how to use them to make the most out of the whole ggplot2 ecosystem. And which of the many extensions to use in the first place.

https://www.bigbookofr.com/chapters/data%20visualization#ggplot2-extended

An Introduction To Forensic Metascience

• James Heathers

Forensic metascientific analysis is designed to modify trust by evaluating research consistency. It is not designed to ‘find fraud’. While this may happen, it is not the sole focus of forensic metascience as a research area and practice, it is simply the loudest consequence. The following is a guide to learning many of the available techniques in forensic metascience that have a stated quantitative approach in the tradition of Knuth’s literate programming. All code is given in R.

https://www.bigbookofr.com/chapters/field%20specific#an-introduction-to-forensic-metascience

Efficient Machine Learning with R: Low-Compute Predictive Modeling with tidymodels

• Simon Couch

This is a book about predictive modeling with tidymodels, focused on reducing the time and memory required to train machine learning models without sacrificing predictive performance.

https://www.bigbookofr.com/chapters/machine%20learning#efficient-machine-learning-with-r-low-compute-predictive-modeling-with-tidymodels

Cooking with DuckDB

• Bob Rudis

Delicious recipes for getting the most out of DuckDB. This will be a continuously updated collection of recipes for DuckDB. Each chapter will focus on accomplishing a single task, with varying levels of exposition (some solutions will be obvious; others, less-so).

https://www.bigbookofr.com/chapters/data%20databases%20and%20engineering#cooking-with-duckdb

Introduction to Regression Analysis in R

• Kayleigh Keller

This book emerged from the course notes I developed as instructor for a course (STAT 341) at Colorado State University. My intent is for this to serve as a resource for an introductory-level undergraduate course on regression methods. Emphasis is on the application of methods, and so mathematical concepts are intertwined with examples using the R computing language.

https://www.bigbookofr.com/chapters/statistics#introduction-to-regression-analysis-in-r

Bayesian analysis of capture-recapture data with hidden Markov models: Theory and case studies in R and NIMBLE

• Olivier Gimenez

Covers the authors three favorite research topics – capture-recapture, hidden Markov models and Bayesian statistics – let’s enjoy this great cocktail together

https://www.bigbookofr.com/chapters/statistics#bayesian-analysis-of-capture-recapture-data-with-hidden-markov-models-theory-and-case-studies-in-r-and-nimble

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