35 Références
Allaire, JJ, Yihui Xie, Christophe Dervieux, Jonathan McPherson, Javier
Luraschi, Kevin Ushey, Aron Atkins, et al. 2024. rmarkdown: Dynamic Documents for r. https://github.com/rstudio/rmarkdown.
Arnold, Jeffrey B. 2024. ggthemes: Extra
Themes, Scales and Geoms for “ggplot2”. https://CRAN.R-project.org/package=ggthemes.
Bartoń, Kamil. 2023. MuMIn: Multi-Model Inference.
https://CRAN.R-project.org/package=MuMIn.
Breheny, Patrick, and Woodrow Burchett. 2017. “Visualization of
Regression Models Using Visreg.” The R Journal 9 (2):
56–71.
Brown, B. M., T. P. Hettmansperger, J. Nyblom, and H. Oja. 1992.
“On Certain Bivariate Sign
Tests and Medians.” Journal of the
American Statistical Association 87 (417): 127–35. https://doi.org/10.2307/2290460.
de Vries, Andrie, and Brian D. Ripley. 2024. ggdendro: Create Dendrograms and Tree Diagrams
Using “ggplot2”. https://CRAN.R-project.org/package=ggdendro.
Fortran code by Alan Miller, Thomas Lumley based on. 2020. leaps: Regression Subset Selection. https://CRAN.R-project.org/package=leaps.
Fox, John, and Sanford Weisberg. 2019. An R Companion
to Applied Regression. Third. Thousand Oaks CA: Sage.
https://socialsciences.mcmaster.ca/jfox/Books/Companion/.
Francisco Rodriguez-Sanchez, and Connor P. Jackson. 2023. grateful: Facilitate Citation of r Packages.
https://pakillo.github.io/grateful/.
Hayes, Andrew F., and Li Cai. 2007. “Further Evaluating the
Conditional Decision Rule for Comparing Two Independent Means.”
British Journal of Mathematical and Statistical Psychology 60
(2): 217–44. https://doi.org/10.1348/000711005X62576.
Hodges, J. L., and E. L. Lehmann. 1956. “The
Efficiency of Some Nonparametric
Competitors of the $t$-Test.” The
Annals of Mathematical Statistics 27 (2): 324–35. https://www.jstor.org/stable/2236996.
Horst, Allison Marie, Alison Presmanes Hill, and Kristen B Gorman. 2020.
palmerpenguins: Palmer Archipelago
(Antarctica) Penguin Data. https://doi.org/10.5281/zenodo.3960218.
Kruskal, William H. 1958. “Ordinal Measures of
Association.” Journal of the American
Statistical Association 53 (284): 814–61. https://doi.org/10.2307/2281954.
Lumley, Thomas, Paula Diehr, Scott Emerson, and Lu Chen. 2002.
“The Importance of the Normality
Assumption in Large Public
Health Data Sets.”
Annual Review of Public Health 23 (1): 151–69. https://doi.org/10.1146/annurev.publhealth.23.100901.140546.
Muldoon, Ariel. 2018. “The Log-0 Problem: Analysis Strategies and
Options for Choosing c in Log(y + c).” Very
Statisticious. https://aosmith.rbind.io/2018/09/19/the-log-0-problem/.
Oksanen, Jari, Gavin L. Simpson, F. Guillaume Blanchet, Roeland Kindt,
Pierre Legendre, Peter R. Minchin, R. B. O’Hara, et al. 2024. vegan: Community Ecology Package. https://CRAN.R-project.org/package=vegan.
Pedersen, Thomas Lin. 2024. ggforce:
Accelerating “ggplot2”. https://CRAN.R-project.org/package=ggforce.
Pinheiro, José C., and Douglas M. Bates. 2000. Mixed-Effects Models
in s and s-PLUS. New York: Springer. https://doi.org/10.1007/b98882.
Pinheiro, José, Douglas Bates, and R Core Team. 2023. nlme: Linear and Nonlinear Mixed Effects
Models. https://CRAN.R-project.org/package=nlme.
R Core Team. 2024. R: A Language and Environment for
Statistical Computing. Vienna, Austria: R Foundation for
Statistical Computing. https://www.R-project.org/.
Ripley, Brian. 2023. tree:
Classification and Regression Trees. https://CRAN.R-project.org/package=tree.
Ruxton, Graeme D. 2006. “The Unequal Variance t-Test Is an
Underused Alternative to Student’s t-Test and the
Mann–Whitney U Test.”
Behavioral Ecology 17 (4): 688–90. https://doi.org/10.1093/beheco/ark016.
Schielzeth, Holger, Niels J. Dingemanse, Shinichi Nakagawa, David F.
Westneat, Hassen Allegue, Céline Teplitsky, Denis Réale, Ned A.
Dochtermann, László Zsolt Garamszegi, and Yimen G. Araya‐Ajoy. 2020.
“Robustness of Linear Mixed‐effects Models to Violations of
Distributional Assumptions.” Edited by Chris Sutherland.
Methods in Ecology and Evolution 11 (9): 1141–52. https://doi.org/10.1111/2041-210X.13434.
Schloerke, Barret, Di Cook, Joseph Larmarange, Francois Briatte, Moritz
Marbach, Edwin Thoen, Amos Elberg, and Jason Crowley. 2024.
GGally: Extension to “ggplot2”. https://CRAN.R-project.org/package=GGally.
Wickham, Hadley, Mara Averick, Jennifer Bryan, Winston Chang, Lucy
D’Agostino McGowan, Romain François, Garrett Grolemund, et al. 2019.
“Welcome to the tidyverse.”
Journal of Open Source Software 4 (43): 1686. https://doi.org/10.21105/joss.01686.
Wood, S. N. 2017. Generalized Additive Models: An Introduction with
r. 2nd ed. Chapman; Hall/CRC.
Wood, S. N. 2003. “Thin-Plate Regression Splines.”
Journal of the Royal Statistical Society (B) 65 (1): 95–114.
———. 2004. “Stable and Efficient Multiple Smoothing Parameter
Estimation for Generalized Additive Models.” Journal of the
American Statistical Association 99 (467): 673–86.
———. 2011. “Fast Stable Restricted Maximum Likelihood and Marginal
Likelihood Estimation of Semiparametric Generalized Linear
Models.” Journal of the Royal Statistical Society (B) 73
(1): 3–36.
Wood, S. N., N., Pya, and B. S"afken. 2016. “Smoothing Parameter
and Model Selection for General Smooth Models (with Discussion).”
Journal of the American Statistical Association 111: 1548–75.
Xie, Yihui. 2014. “knitr: A
Comprehensive Tool for Reproducible Research in R.”
In Implementing Reproducible Computational Research, edited by
Victoria Stodden, Friedrich Leisch, and Roger D. Peng. Chapman;
Hall/CRC.
———. 2015. Dynamic Documents with R and Knitr. 2nd
ed. Boca Raton, Florida: Chapman; Hall/CRC. https://yihui.org/knitr/.
———. 2024. knitr: A General-Purpose
Package for Dynamic Report Generation in r. https://yihui.org/knitr/.
Xie, Yihui, J. J. Allaire, and Garrett Grolemund. 2018. R Markdown:
The Definitive Guide. Boca Raton, Florida: Chapman; Hall/CRC. https://bookdown.org/yihui/rmarkdown.
Xie, Yihui, Christophe Dervieux, and Emily Riederer. 2020. R
Markdown Cookbook. Boca Raton, Florida: Chapman; Hall/CRC. https://bookdown.org/yihui/rmarkdown-cookbook.