38 Other compendiums

38.1 Awesome network analysis

Not a book, but a compendium of resources that look really valuable.

Link: https://github.com/briatte/awesome-network-analysis

38.2 Bookdown archive

An archive all books published via bookdown.org. It’s a very very big repo.

Link: https://bookdown.org/home/archive/

38.3 CRAN doc collections

Note these projects are frozen, but they do contain a lot of resources in multiple languages.

Many of these are quite old publications, but it doesn’t mean they’re outdated or not useful. If you’re really digging for a specific resource that you can’t find anywhere else, it may be here. Good luck!

https://cran.r-project.org/other-docs.html

Link: https://www.r-project.org/doc/bib/R-books.html

38.4 Data Science with R: A Resource Compendium

by Martin Monkman

This book grew out of my evergrowing collection of reference materials that was saved as an expanding array of markdown files in a github repo. By assembling it as a book, I hope that it will be more accessible and useful to other R users.

Link: https://bookdown.org/martin_monkman/DataScienceResources_book/

38.5 R on the Web

by Guillaume Coquere

Useful links for people interested in R.

Link: https://github.com/shokru/rstats/blob/master/material/R_links.md

38.6 R project book compendium

A searchable archive of 180+ books.

Link: https://www.r-project.org/doc/bib/R-jabref.html

38.7 The R Series by CRC Press

by A book series

This book series reflects the recent rapid growth in the development and application of R, the programming language and software environment for statistical computing and graphics.

Paid: $40

Link: https://www.routledge.com/go/the-r-series

38.8 Use R! Springer series

This is a collection of some 70+ books. This series of inexpensive and focused books on R will publish shorter books aimed at practitioners. Books can discuss the use of R in a particular subject area (e.g., epidemiology, econometrics, psychometrics) or as it relates to statistical topics (e.g., missing data, longitudinal data).

Paid: All are paid products

Link: https://www.springer.com/series/6991?detailsPage=titles

 

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