References
Amrhein, V., Greenland, S., & McShane, B. (2019). Scientists rise up
against statistical significance. Nature, 567(7748),
305.
Asmuth, J., Morson, E. M., & Rips, L. J. (2018). Children’s
understanding of the natural numbers’ structure. Cognitive
Science, 42(6), 1945–1973. https://doi.org/https://doi.org/10.1111/cogs.12615
Babbage, C. (1864). Passages from the life of a philosopher.
Longman; Co.
Behrouzi, P., & Wit, E. (2017). Detecting epistatic selection with
partially observed genotype data using copula graphical models.
Journal of the Royal Statistical Society: Series C (Applied
Statistics), 68. https://doi.org/10.1111/rssc.12287
Bergstrom, C. T., & West, J. D. (2020). Calling bullshit: The
art of skepticism in a data-driven world. Random House.
Broman, K. W., & Woo, K. H. (2018). Data organization in
spreadsheets. The American Statistician, 72(1), 2–10.
https://doi.org/10.1080/00031305.2017.1375989
Bryan, J. J. (2020). STAT 545: Data wrangling, exploration, and
analysis with r. Bookdown. https://stat545.com
Chen, I.-C., Hill, J. K., Ohlemüller, R., Roy, D. B., & Thomas, C.
D. (2011). Rapid range shifts of species associated with high levels of
climate warming. Science, 333(6045), 1024–1026. https://doi.org/10.1126/science.1206432
Farine, D. R., & Carter, G. G. (2022). Permutation tests for
hypothesis testing with animal social network data: Problems and
potential solutions. Methods in Ecology and Evolution,
13(1), 144–156. https://doi.org/https://doi.org/10.1111/2041-210X.13741
Fieberg, J. (2024). Statistics for ecologists: A frequentist and
bayesian treatment of modern regression models. University of
Minnesota Libraries Publishing. Retrieved from the University of
Minnesota Digital Conservancy. https://doi.org/10.24926/9781959870029
Fieberg, J. R., Vitense, K., & Johnson, D. H. (2020).
Resampling-based methods for biologists. PeerJ, 8,
e9089. https://doi.org/10.7717/peerj.9089
Fisher, R. A. (1926). The arrangement of field experiments. Journal
of the Ministry of Agriculture, 33, 503–515.
Freeman, M. (2006). A visual comparison of normal and paranormal
distributions. J Epidemiol Community Health, 60(1), 6.
Gelman, A., & Carlin, J. (2017). Some natural solutions to the
p-value communication problem—and why they won’t work. Journal of
the American Statistical Association, 112(519), 899–901.
https://doi.org/10.1080/01621459.2017.1311263
Grolemund, G. (2014). Hands-on programming with r: Write your own
functions and simulations. " O’Reilly Media, Inc.".
Grolemund, G., & Wickham, H. (2018). R for data science.
Hart, J. D. A., Weiss, M. N., Brent, L. J. N., & Franks, D. W.
(2022). Common permutation methods in animal social network analysis do
not control for non-independence. Behavioral Ecology and
Sociobiology, 76(11), 151.
Higgins, P. D. R. (2024). Reproducible medical research with r.
Bookdown. https://bookdown.org/pdr_higgins/rmrwr/
Ismay, C., & Kim, A. Y. (2019). Statistical inference via data
science: A ModernDive into r and the tidyverse. CRC Press.
John, M., Korte, A., & Grimm, D. G. (2024). The benefits of
permutation-based genome-wide association studies. Journal of
Experimental Botany, 75(17), 5377–5389. https://doi.org/10.1093/jxb/erae280
Lewis, C. (2024). Data management in large-scale education
research. CRC Press.
Matthews, R. (2021). The p-value statement, five years on.
Significance, 18(2), 16–19. https://doi.org/https://doi.org/10.1111/1740-9713.01505
Sandve, A. A. T., Geir Kjetil AND Nekrutenko. (2013). Ten simple rules
for reproducible computational research. PLOS Computational
Biology, 9(10), 1–4. https://doi.org/10.1371/journal.pcbi.1003285
Sianta, S. A., Moeller, D. A., & Brandvain, Y. (2024). The extent of
introgression between incipient <i>clarkia</i> species is
determined by temporal environmental variation and mating system.
Proceedings of the National Academy of Sciences,
121(12), e2316008121. https://doi.org/10.1073/pnas.2316008121
Suzuki, Y., Endo, M., Cañas, C., Ayora, S., Alonso, J. C., Sugiyama, H.,
& Takeyasu, K. (2014). Direct analysis of holliday junction
resolving enzyme in a DNA origami nanostructure. Nucleic Acids
Research, 42(11), 7421–7428. https://doi.org/10.1093/nar/gku320
Swierk, L., & Langkilde, T. (2019). Fitness
costs of mating with preferred females in a scramble mating
system. Behavioral Ecology, 30(3), 658–665. https://doi.org/10.1093/beheco/arz001
Tufte, E. R. (1990). Envisioning information. Graphics Press.
Wainer, H. (2007). The most dangerous equation. American
Scientist, 95(3), 249.
Wasserstein, R. L., & Lazar, N. A. (2016). The ASA statement on
p-values: Context, process, and purpose. The American
Statistician, 70(2), 129–133. https://doi.org/10.1080/00031305.2016.1154108
Whitlock, M. C., & Schluter, D. (2020). The analysis of
biological data (Third). Macmillan.
Wickham, H. (2014b). Tidy data. Journal of Statistical
Software, 59(10), 1–23. https://doi.org/10.18637/jss.v059.i10
Wickham, H. (2014a). Tidy data. Journal of Statistical Software,
Articles, 59(10), 1–23. https://doi.org/10.18637/jss.v059.i10
Wilke, C. O. (2019). Fundamentals of data visualization: A primer on
making informative and compelling figures. O’Reilly Media.