I’m very happy to introduce 7 additions to the Big Book of R collection which now stands at almost 450 free, open-source R programming books. A special thanks to Gary and Lucca Scrucca for their submissions.
In case you missed it, the Big Book of R bot is live on Bluesky, and posts a random entry from the collection every couple of hours – a great way to (re)discover gems from the R community.
This book presents a systematic statistical approach to clustering, classification, and density estimation via Gaussian mixture modeling. This model-based framework allows the problems of choosing or developing an appropriate clustering or classification method to be understood within the context of statistical modeling. The mclust package for the statistical environment R is a widely adopted platform implementing these model-based strategies. The package includes both summary and visual functionality, complementing procedures for estimating and choosing models.
This book/tutorial will introduce key concepts in machine learning-based causal inference.
Overview open source software and gives R examples in automation and reproducibility.
https://www.bigbookofr.com/chapters/workflow#research-software-engineering
An introduction to the use of the msm R package for fitting and predicting from multi-state models for intermittently observed data, in typical medical applications.
https://www.bigbookofr.com/chapters/packages#multi-state-modelling-with-msm-a-practical-course
This book provides an overview of the basic skills needed to turn raw data into informative summaries and visualisations presented in professional reports and presentations. The book will introduce learners to R (R Core Team, 2022), a programming language that can help automate working with data. The book will cover importing and processing data from spreadsheets, producing data summaries of descriptive statistics in tables, creating beautiful and informative visualisations, and constructing reports and presentations that automatically update when the underlying data changes.
https://www.bigbookofr.com/chapters/data%20science#applied-data-skill-processing-presenting-data
The goal of the cookbook is to provide solutions to common tasks and problems in using Polars with R. It allows R users using their usual packages to quickly get the syntax required to use Polars with R.
It is structured around side-by-side comparisons between polars, R base, dplyr, tidyr and data.table.
https://www.bigbookofr.com/chapters/packages#cookbook-polars-for-r
Your go-to guide for solving common (and often recurring) issues spotted by CRAN volunteers during package submissions and re-submissions. Here, you’ll find practical “recipes” organized by different parts of the package structure.
https://www.bigbookofr.com/chapters/packages#cran-cookbook
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The post 7 New Books added to Big Book of R [7/12/2024] appeared first on Oscar Baruffa.