# Chapter 2 Introduction

“The best thing about being a statistician is that you get to play in everyone’s backyard.” – John Tukey

## 2.1 Taking on the Discipline

One of the most important aspects of any discipline is to treat it professionally. This may sound a bit trite, but it is important functioning in a staff central support role to be as professional as possible at all times. This means observing a professional expectation for interactions, outputted work and the entire process of knowledge discovery and dissemination.

You can label chapter and section titles using {#label} after them, e.g., we can reference Chapter 2. If you do not manually label them, there will be automatic labels anyway, e.g., Chapter 10.

Figures and tables with captions will be placed in figure and table environments, respectively.

par(mar = c(4, 4, .1, .1))
plot(pressure, type = 'b', pch = 19)

Reference a figure by its code chunk label with the fig: prefix, e.g., see Figure 2.1. Similarly, you can reference tables generated from knitr::kable(), e.g., see Table 2.1.

knitr::kable(
head(iris, 20), caption = 'Here is a nice table!',
booktabs = TRUE
)
Table 2.1: Here is a nice table!
Sepal.Length Sepal.Width Petal.Length Petal.Width Species
5.1 3.5 1.4 0.2 setosa
4.9 3.0 1.4 0.2 setosa
4.7 3.2 1.3 0.2 setosa
4.6 3.1 1.5 0.2 setosa
5.0 3.6 1.4 0.2 setosa
5.4 3.9 1.7 0.4 setosa
4.6 3.4 1.4 0.3 setosa
5.0 3.4 1.5 0.2 setosa
4.4 2.9 1.4 0.2 setosa
4.9 3.1 1.5 0.1 setosa
5.4 3.7 1.5 0.2 setosa
4.8 3.4 1.6 0.2 setosa
4.8 3.0 1.4 0.1 setosa
4.3 3.0 1.1 0.1 setosa
5.8 4.0 1.2 0.2 setosa
5.7 4.4 1.5 0.4 setosa
5.4 3.9 1.3 0.4 setosa
5.1 3.5 1.4 0.3 setosa
5.7 3.8 1.7 0.3 setosa
5.1 3.8 1.5 0.3 setosa

You can write citations, too. For example, we are using the bookdown package (Xie 2017) in this sample book, which was built on top of R Markdown and knitr (Xie 2015). (Prewitt-Freilino and Rush 2017)

### References

Xie, Yihui. 2017. Bookdown: Authoring Books and Technical Documents with R Markdown. https://CRAN.R-project.org/package=bookdown.

Xie, Yihui. 2015. Dynamic Documents with R and Knitr. 2nd ed. Boca Raton, Florida: Chapman; Hall/CRC. http://yihui.name/knitr/.

Prewitt-Freilino, Polly A., and Nathan A. Rush. 2017. “Data Entrepreneurship: A Necessary Mindset for Institutional Research Effectiveness.” New Directions for Institutional Research 2017 (173): 11–23. doi:10.1002/ir.20209.