AAGI

Adam Sparks

adam.sparks@curtin.edu.au

November 26, 2025

if (!require(pak)) {
  install.packages("pak", dependencies = TRUE)
}
if (!require(flextable)) {
  pak::pak("flextable", dependencies = TRUE)
}
if (!require(AAGIThemes)) {
install.packages("AAGIThemes",
                 repos = c("https://aagi-aus.r-universe.dev",
                           "https://cloud.r-project.org"))
}

if (!require(AAGIPalettes)) {
install.packages("AAGIPalettes",
                 repos = c("https://aagi-aus.r-universe.dev",
                           "https://cloud.r-project.org"))
}

if (!require(gapminder)) {
  install.packages("gapminder")
}

library(ggplot2)
library(AAGIThemes)

# set ggplot2 theme
theme_set(theme_aagi())

An AAGI Reveal.js Theme for Quarto

This Quarto extension allows you to create your slides using a theme that follows AAGI typography and colour styles and provides the official AAGI logo and cover image for the title slide.

Basic Tables

AAGIQuarto provides basic theming of HTML tables through CSS, for example, this is a markdown table.

| Syntax      | Description |
| ----------- | ----------- |
| Header      | Title       |
| Paragraph   | Text        |

That renders like this.

Syntax	Description
Header	Title
Paragraph	Text

Advanced Tables

For more advanced tables, we suggest pairing with the R package {AAGIThemes} to provide AAGI themed tables using theme_gt_aagi(), that offers more flexibility in formatting.

library(dplyr)
library(gt)
library(AAGIThemes)

gt <- gt(head(airquality) |>
 mutate(`Month Name` = "May"))
gt <- theme_gt_aagi(gt)
gt

Ozone	Solar.R	Wind	Temp	Month	Day	Month Name
41	190	7.4	67	5	1	May
36	118	8.0	72	5	2	May
12	149	12.6	74	5	3	May
18	313	11.5	62	5	4	May
NA	NA	14.3	56	5	5	May
28	NA	14.9	66	5	6	May

Basic Figures

{AAGIThemes} also provides support for theming basic figures in R, for example.

library(AAGIThemes)
plot_aagi(pressure)

This is an aside.

Figures with {ggplot2}

{AAGIThemes} also provides support for theming {ggplot2} outputs in R, for example.

#Prepare data

library(gapminder)
library(dplyr)
library(ggplot2)
library(AAGIThemes)

facet <- gapminder |>
  filter(continent != "Americas") |>
  group_by(continent, year) |>
  summarise(pop = sum(as.numeric(pop)))
#> `summarise()` has grouped output by 'continent'. You can override using the
#> `.groups` argument.

col_values <- c(
  AAGIPalettes::colour_as_hex("AAGI Teal"),
  AAGIPalettes::colour_as_hex("AAGI Green"),
  AAGIPalettes::colour_as_hex("AAGI Yellow"),
  AAGIPalettes::colour_as_hex("AAGI Blue")
)

#Make plot
ggplot() +
  geom_area(data = facet, aes(x = year, y = pop, fill = continent)) +
  scale_fill_manual(values = col_values) +
  facet_wrap(~ continent, ncol = 5) +
  scale_y_continuous(breaks = c(0, 2000000000, 4000000000),
                    labels = c(0, "2bn", "4bn")) +
  theme_aagi() +
  geom_hline(yintercept = 0,
            linewidth = 1,
            colour = "#474747") +
  theme(legend.position = "none", axis.text.x = element_blank()) +
  labs(title = "Asia's rapid growth", subtitle = "Population growth by continent, 1952-2007")

Slides With Columns

This is a column on the left.

This is a column on the right.

More Information

You can learn more about controlling the appearance of revealjs output here: https://quarto.org/docs/presentations/revealjs/

Thank You