Chapter 2 Introduction

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 4.

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

2.1 Plots

p_static      <- ecoidx::plot_ts(ts1)
p_interactive <- ecoidx::plot_ts(ts1, add_icons = F) %>% 
  plotly::ggplotly()

2.1.1 Static

p_static

Figure 2.1: The index changed by less than one standard deviation of the full time series over the last 5 years (indicated by icon: →). The mean of the last 5 years was more than one standard deviation below the mean of the full time series (indicated by icon: +).

2.1.2 Interactive

p_interactive

Figure 2.2: The index changed by less than one standard deviation of the full time series over the last 5 years (indicated by icon: →). The mean of the last 5 years was more than one standard deviation below the mean of the full time series (indicated by icon: +).

For more on this plotting function, check out ecoidx::plot_ts().

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 2020) in this sample book, which was built on top of R Markdown and knitr (Xie 2015).