Further resources

Author
Affiliations

Paul Schmidt

Last updated

October 1, 2023

This is a collection of resources I would recommend for topics that are not covered (well enough) on this website.

In general, you should browse through the Big Book of R, which is curated collection of over 300 R programming books on different topics.

Generalized Linear Models

  • The online version of “Beyond Multiple Linear Regression - Applied Generalized Linear Models and Multilevel Models in R” by Roback and Legler (2021)
  • The open access PDF version “Generalized Linear Mixed Models with Applications in Agriculture and Biology” by Ruı́z et al. (2023)

Maps

Meta analyses

  • The online version of “Doing Meta-Analysis with R: A Hands-On Guide” by Harrer et al. (2021)

References

Harrer, Mathias, Pim Cuijpers, Toshi A. Furukawa, and David D. Ebert. 2021. Doing Meta-Analysis with r. Chapman; Hall/CRC. https://doi.org/10.1201/9781003107347.
Roback, Paul, and Julie Legler. 2021. Beyond Multiple Linear Regression. Chapman; Hall/CRC. https://doi.org/10.1201/9780429066665.
Ruı́z, Josafhat Salinas, Osval Antonio Montesinos López, Gabriela Hernández Ramı́rez, and Jose Crossa Hiriart. 2023. Generalized Linear Mixed Models with Applications in Agriculture and Biology. Springer International Publishing. https://doi.org/10.1007/978-3-031-32800-8.
Wickham, Hadley. 2016. Ggplot2 Elegant Graphics for Data Analysis. Use r! Springer International Publishing. https://doi.org/10.1007/978-3-319-24277-4.

Citation

BibTeX citation:
@online{schmidt2023,
  author = {Paul Schmidt},
  title = {Further Resources},
  date = {2023-10-01},
  url = {https://schmidtpaul.github.io/dsfair_quarto//ch/misc/furtherresources.html},
  langid = {en}
}
For attribution, please cite this work as:
Paul Schmidt. 2023. “Further Resources.” October 1, 2023. https://schmidtpaul.github.io/dsfair_quarto//ch/misc/furtherresources.html.