This document can be a standalone “how-to” document for R users. However, it is primarily intended for students in the APSY510/511 statistics sequence at the University at Albany. It is a fairly thorough treatment of graphical and inferential evaluation of one-factor designs. It presumes prior background coverage of the ANOVA logic from standard textbooks such as Howell or Maxwell, Delaney and Kelley (2017). The analyses are intended to parallel and exhaust the methods already covered with SPSS, and to extend them to additional topics.
Allaire, J., Xie, Y., McPherson, J., Luraschi, J., Ushey, K., Atkins, A., … Iannone, R. (2018).
Rmarkdown: Dynamic documents for r. Retrieved from
https://CRAN.R-project.org/package=rmarkdown
Howell, D. C. (2013). Statistical methods for psychology (8th ed., pp. xix, 770 p.). Book, Belmont, CA: Wadsworth Cengage Learning.
Maxwell, S. E., Delaney, H. D., & Kelley, K. (2017). Designing experiments and analyzing data : A model comparison perspective (Third edition /, pp. pages cm). Book, New York, NY: Routledge.
R Core Team. (2018).
R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Retrieved from
https://www.R-project.org/
RStudio Team. (2015).
RStudio: Integrated development environment for r. Boston, MA: RStudio, Inc. Retrieved from
http://www.rstudio.com/
Xie, Y. (2015).
Dynamic documents with R and knitr (2nd ed.). Boca Raton, Florida: Chapman; Hall/CRC. Retrieved from
http://yihui.name/knitr/
Xie, Y. (2018).
Bookdown: Authoring books and technical documents with r markdown. Retrieved from
https://CRAN.R-project.org/package=bookdown