References
Braun, W. John, and Duncan J. Murdoch. 2021. A First Course in
Statistical Programming with R. 3rd ed. Cambridge
University Press.
Chang, Winston. 2013. R Graphics Cookbook. 1st ed. O’Reilly.
Cunningham, Scott. 2021. Causal Inference. Yale University
Press. https://mixtape.scunning.com/index.html.
Dalgaard, Peter. 2008. Introductory Statistics with
R. 2nd ed. Springer.
Davies, Owen L et al. 1947. “Statistical Methods in Research and
Production.”
Faraway, Julian J. 2014. Linear Models with R. 2nd
ed. Taylor & Francis Ltd.
———. 2016. Extending the Linear Model with r. 2nd ed. Taylor
& Francis Inc.
Fox, John, and Sanford Weisberg. 2018. An R Companion
to Applied Regression. Sage publications. http://socserv.socsci.mcmaster.ca/jfox/Books/Companion.
Hyndman, Rob J, and George Athanasopoulos. 2021. Forecasting:
Principles and Practice. 3rd ed. OTexts. https://otexts.com/fpp2/.
Liaw, A., and M. Wiener. 2002. “Classification and Regression by
randomForest.” R News 2 (3): 18–22.
Maindonald, John. 1992. “Statistical Design, Analysis, and
Presentation Issues.” New Zealand Journal of Agricultural
Research 35 (2): 121–41.
Maindonald, John H, and W. John Braun. 2022. DAAG: Data Analysis and
Graphics Data and Functions. https://gitlab.com/daagur.
Maindonald, John, and John Braun. 2010. Data Analysis and Graphics
Using r: An Example-Based Approach. Cambridge University Press.
Maindonald, John, W John Braun, and Jeffrey Andrews. 2024, forthcoming.
A Practical Guide to Data Analysis Using r. An Example-Based
Approach. Cambridge University Press. https://jhmaindonald.github.io/PGRcode.
Matloff, Norman. 2011. The Art of r Programming. No Starch Inc.
Muenchen, R. A. 2011. R for SAS and SPSS Users. 2nd ed.
Springer. http://r4stats.com/books/r4sas-spss/.
Murrell, Paul. 2009. Introduction to Data Technologies. 1st ed.
CRC Press.
———. 2011. R Graphics. 2nd ed. Chapman; Hall/CRC. http://www.e-reading.org.ua/bookreader.php/137370/Murrell_-_R_Graphics.pdf.
Pinheiro, J. C., and D. M. Bates. 2000. Mixed Effects Models in
S and S-PLUS. Springer.
Ripley, Brian. 2023. MASS: Support Functions and Datasets for
Venables and Ripley’s MASS. http://www.stats.ox.ac.uk/pub/MASS4/.
Sarkar, Deepayan. 2023. Lattice: Trellis Graphics for r. https://lattice.r-forge.r-project.org/.
Tu, Y., and M. S. Gilthorpe. 2011. Statistical Thinking in
Epidemiology. CRC Press.
Venables, W. N., and B. D. Ripley. 2002. Modern Applied Statistics
with S. 4th ed. Springer.
Wickham, H. 2016. R for Data Science. O’Reilly.
Wood, S. N. 2017. Generalized Additive Models. An Introduction with
r. 2nd ed. Chapman; Hall/CRC.