12 References

Chihara, Laura M., and Tim C. Hesterberg. 2011. Mathematical Statistics with Resampling and R. Hoboken, NJ: John Wiley; Sons. https://sites.google.com/site/chiharahesterberg/home.

Diez, David M, Christopher D Barr, and Mine Çetinkaya-Rundel. 2014. Introductory Statistics with Randomization and Simulation. First Edition. https://www.openintro.org/stat/textbook.php?stat_book=isrs.

Douglas, Alex, Deon Roos, Francesca Mancini, Ana Couto, and David Lusseau. 2020. An Introduction to R. https://intro2r.com/index.html.

Grolemund, Garrett, and Hadley Wickham. 2016. R for Data Science. http://r4ds.had.co.nz/.

Ismay, Chester. 2016. Getting Used to R, RStudio, and R Markdown. http://ismayc.github.io/rbasics-book.

Ismay, Chester, and Albert Y. Kim. 2018. ModernDive: An Introduction to Statistical and Data Sciences via R. http://moderndive.com/.

James, Gareth, Daniela Witten, Trevor Hastie, and Rob Tibshirani. 20AD. An Introduction to Statistical Learning, with Applications in R. Springer.

Kleiber, Christian, and Achim Zeileis. 2008. Applied Econometrics with R. Springer.

Lander, Jared. 2017. R for Everyone: Advanced Analytics and Graphics. Addison Wesley Data; Analytics Section.

Venables, W. N., D. M. Smith, and the R Core Team. 2020. “An Introduction to R.” https://cran.r-project.org/doc/manuals/r-release/R-intro.pdf.

Wickham, H. 2019. Advanced R, Second Edition. Chapman & Hall/Crc the R Series. CRC Press. https://adv-r.hadley.nz/.

Xie, Yihui. 2020. Bookdown: Authoring Books and Technical Documents with R Markdown. https://github.com/rstudio/bookdown.