Chapter 1 Prerequisites

This book is a companion guide to the open-access book Assessment of Treatment Plant Performance and Water Quality Data by Marcos von Sperling, Matthew E. Verbyla, and Sílvia M. A. C. Oliveira (von Sperling, Verbyla, and Oliveira 2020).

1.1 R, RStudio, and the tidyverse

(installation instructions)

(citations to make a references section) (R Core Team 2019; Wickham 2019).

1.2 Colophon

Written using knitr, bookdown, and RMarkdown (Xie 2020b, 2020a; Allaire et al. 2020).

References

Allaire, JJ, Yihui Xie, Jonathan McPherson, Javier Luraschi, Kevin Ushey, Aron Atkins, Hadley Wickham, Joe Cheng, Winston Chang, and Richard Iannone. 2020. Rmarkdown: Dynamic Documents for R. https://CRAN.R-project.org/package=rmarkdown.

R Core Team. 2019. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.

Sperling, Marcos von, Matthew E. Verbyla, and Sílvia M. A. C. Oliveira. 2020. Assessment of Treatment Plant Performance and Water Quality Data: A Guide for Students, Researchers and PractitionersAssessment of Treatment Plant Performance and Water Quality Data: A Guide for Students, Researchers and Practitioners. London: IWA Publishing. https://doi.org/10.2166/9781780409320.

Wickham, Hadley. 2019. Tidyverse: Easily Install and Load the ’Tidyverse’. https://CRAN.R-project.org/package=tidyverse.

Xie, Yihui. 2020a. Bookdown: Authoring Books and Technical Documents with R Markdown. https://CRAN.R-project.org/package=bookdown.

Xie, Yihui. 2020b. Knitr: A General-Purpose Package for Dynamic Report Generation in R. https://CRAN.R-project.org/package=knitr.