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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
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.
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
The post 15 New Books added to Big Book of R appeared first on Oscar Baruffa.
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Continue reading: 15 New Books added to Big Book of R
Analysis of New Additions to the Collection of Free R Programming Books
In a recent announcement, it was shared that 6 English-language and 9 Portuguese-language books have been added to an existing collection of over 400 free, open-source R programming books. This massive collection includes a Spanish-language chapter as well. Developers and learners who use the R programming language will greatly benefit from this expanded resource.
Long-term implications and possible future developments
The addition of these books to the collection implies a growing pool of resources for R programming learners and professionals. It indicates the ongoing development and interest in the R programming language and its multiple applications. As such, it can be expected that the collection will continue to grow over time. More books in more languages, with progressively diversified areas of focus may be included. This points to a likely increase in global usage and competency in R programming.
Insights into the Newly Added Books
1. ggplot2 extended by Antti Rask
This book explores how to make the most out of the whole ggplot2 ecosystem. It should be beneficial for those interested in enhancing their data visualization skills using R.
2. An Introduction To Forensic Metascience by James Heathers
This book focuses on forensic metascientific analysis evaluating research consistency. All of its code is given in R, indicating its usefulness in applying such analysis using this language.
3. Efficient Machine Learning with R: Low-Compute Predictive Modeling with tidymodels by Simon Couch
This book offers valuable insights into predictive modeling with tidymodels, focusing on efficient machine learning practices in R.
4. Cooking with DuckDB by Bob Rudis
This book provides recipes for getting the most out of DuckDB using R.
5. Introduction to Regression Analysis in R by Kayleigh Keller
The author’s teaching notes from Colorado State University have been transformed into this book that serves as a resource on regression methods with R.
6. Bayesian analysis of capture-recapture data with hidden Markov models: Theory and case studies in R and NIMBLE by Olivier Gimenez
This book covers three research topics – capture-recapture, hidden Markov models, and Bayesian statistics. It can be a valuable source for people interested in these subject areas.
Actionable Advice
Anyone who uses the R programming language or wishes to learn it should take advantage of this rich resource collection. Since the books are open-source and free, it offers accessible learning opportunities for everyone. The broad content coverage enables potential proficiency in various R applications and techniques, such as data visualization, forensic metascience, machine learning, regression analysis, and Bayesian statistics. Continuous learning and practice are also recommended to stay abreast with new developments and expansion of the R language.