Appendix B — Test Quarto Stuff

Also this here. And that here.

This is a book created from markdown and executable code.

B.1 Test Mermaid diagrams

flowchart LR
  A[Hard edge] --> B(Round edge)
  B --> C{Decision}
  C --> D[Result one]
  C --> E[Result two]

B.2 Test Graphviz

We can also reference figures such as Figure fig-simple

G run runintr intrrun--intr kernel kernelrun--kernel runbl runblintr--runbl runbl--run zombie zombiekernel--zombie sleep sleepkernel--sleep runmem runmemkernel--runmem sleep--runmem swap swapsleep--swap runswap runswapswap--runswap runswap--runmem new newrunswap--new new--runmem
Figure B.1: This is a simple graphviz graph.

B.3 Test Tables

See (JungTran2012JDE?) for additional discussion of literate programming.

Fruit prices
fruit price
apple 2.05
pear 1.37
orange 3.09

B.4 ## Air Quality with R code

We can use multiple languages like so.

Figure fig-airquality further explores the impact of temperature on ozone level.

library(ggplot2)

ggplot(airquality, aes(Temp, Ozone)) +
  geom_point() +
  geom_smooth(method = "loess"
)
Figure B.2: Temperature and ozone level.

B.5 Python Code

1 + 1
2

Markdown allows you to write using an easy-to-read, easy-to-write plain text format.

And then we add some more.

Note

Note that there are five types of callouts, including: note, tip, warning, caution, and important.

Tip With Caption

This is an example of a callout with a caption.

B.6 Math Stuff Code

We know from the first fundamental theorem of calculus that for \(x\) in \([a, b]\):

\[\frac{d}{dx}\left( \int_{a}^{x} f(u)\,du\right)=f(x).\]

For a demonstration of a line plot on a polar axis, see Figure fig-polar.

import numpy as np
import matplotlib.pyplot as plt

r = np.arange(0, 2, 0.01)
theta = 2 * np.pi * r
fig, ax = plt.subplots(
  subplot_kw = {'projection': 'polar'}
)

ax.plot(theta, r)
ax.set_rticks([0.5, 1, 1.5, 2])
ax.grid(True)
plt.show()
Figure B.3: A line plot on a polar axis 
library(ggplot2)

ggplot(airquality, aes(Temp, Ozone)) +
  geom_point() +
  geom_smooth(method = "loess"
)
Figure B.4: Temperature and ozone level. 
#| label: fig-parametric
#| fig-cap: "Parametric Plots"
using Plots
plot(sin,
     x->sin(2x),
     0,
     2π,
     leg=false,
     fill=(0,:lavender))
import numpy as np
import matplotlib.pyplot as plt

r = np.arange(0, 2, 0.01)
theta = 2 * np.pi * r
fig, ax = plt.subplots(
  subplot_kw = {'projection': 'polar'}
)

ax.plot(theta, r)
ax.set_rticks([0.5, 1, 1.5, 2])
ax.grid(True)
plt.show()
Figure B.5: A line plot on a polar axis

If this is really a new file then just do it.