Consider looking at the Big Book of R which is a on-line catalogue of books (most free and on-line) on R classified by topics, with a short description.
A similar catalogue, much less exhaustive but more specific to our (or perhaps my) context and interests follows.
Introductory
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C Ismay & A Y Kim (2021). Statistical Inference via Data Science: A ModernDive into R and the Tidyverse. On line book.
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J Lowndes & A Horst (2021). R for Excel Users. On line book.
- Introduction to R, RStudio, RMarkdown, GitHub, Visualisation with
ggplot2and data manipulation withtidyranddplyr.
- Introduction to R, RStudio, RMarkdown, GitHub, Visualisation with
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Projet utilitR. Tutoriels de l'Insee.
- Introduction à R, importation et traitement de données.
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Serge-Étienne Parent (2020). Analyse et modélisation d’agroécosystèmes. Livre en ligne.
- Peut servir comme intro à R, importation et traitement basique de données (Ch. 2-3), visualisation (Ch. 4) et intro à la modélisation LM et GLM et Biostatistiques (Ch. 6).
Data analysis and modelling
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The Epidemiologist R Handbook. Collaborative On line book oriented to epidemiologists.
- Introduction to R, import and data management, etc. A chapter (19) devoted to (Generalised) Linear Models.
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Data Skills for Reproducible Science (2021). On line book. A chapter (9) devoted to Generalised Linear Models.
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Michael Franke (2021). An Introduction to Data Analysis. On line book.
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Serge-Étienne Parent (2020). Analyse et modélisation d’agroécosystèmes. Livre en ligne.
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Rob J Hyndman and George Athanasopoulos (2021). Forecasting: Principles and Practice. On line book.
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Virgilio Gómez-Rubio (2021). Bayesian inference with INLA. On line book.
Management of Geographical and Spatial data
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Robin Lovelace (2021). Geocomputation with R. On line book.
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Rspatial (2021). Spatial Data Science with R. On line book.
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Edzer Pebesma, Roger Bivand (2021). Spatial Data Science with applications in R. On line book.
Package development
- Hadley Wickham (2021). R Packages. Livre en ligne.