dohactheme

The Department of Health and Aged Care’s colours play an important role in the Department’s identity.

The main purpose of dohactheme is to enable R users in Australian public policy to use the colours and styles defined in DoHAC’s Style Sheet to create compliant visualisation in ggplot.

dohactheme was created with the palettes package, which provides a comprehensive library for colour vectors and colour palettes using a new family of colour classes (palettes_colour, and palettes_palette) that always print as hex codes with colour previews. Colour palette packages created with palettes have access to the following capabilities, all without requiring you to write any code: formatting, casting and coercion, extraction and updating of components, plotting, colour mixing arithmetic, and colour interpolation.

See the following vignettes to learn how to use palletes with other packages:

• Using palettes with ggplot2
• Using palettes with gt
• Using palettes with biscale
• Compatibility with other colour packages

Included Colours

Primary colours

DoHAC’s primary colour palette comprises blue and teal, with a secondary dark shade of both.

DoHAC blue and dark blue

#> Loading required package: palettes

DoHAC teal and dark teal

Secondary colours

DoHAC’s secondary colours dohac_colours$secondary add further shades of blue and teal, as well as pink and orange.

Secondary tints

DoHAC’s secondary colours are complemented by a series of tints dohac_colours$tints of the same colours.

Neutrals

DoHAC’s neutral colours are a series of 5 grey shades dohac_colours$neutrals .

Accents

DoHAC’s accents colours dohac_colours$accents are red and yellow.

Accessible

DoHAC’s brand palettes can be hard to differentiate when used individually in charts and other infographics. We have chosen a selection of colours with higher contrast and grouped them as dohac_colours$accessible. This palette is subject to revision based on feedback and testing

Installation

You can install the development version of DoHACpalette from GitHub with:

# install.packages("devtools")
devtools::install_github("zerogetsamgow/dohactheme")

Usage

{dohactheme} is designed to produce {gglot2} that comply with the DoHAC style guide simply. For example.

## basic example code
ggplot2::ggplot(data=iris,aes(x=Sepal.Length, y = Petal.Length,colour=Species)) +
  geom_point(size=3) +
  scale_colour_manual(values=dohac_colours$primary,labels=stringr::str_to_title) +
  scale_x_continuous(name="Sepal length")+
  scale_y_continuous(name="Petal length")+
  theme_dohac_white()

{dohactheme} exports two themes - theme_dohac_white()(seen above) and theme_dohac_blue() to enable plots to be produced for any DoHAC publication.

## basic example of a green plot
ggplot(data=iris,aes(x=Sepal.Length, y = Petal.Length,colour=Species)) +
  geom_point(size=3) +
  scale_colour_manual(values=dohac_colours$secondary,labels=stringr::str_to_title) +
  scale_x_continuous(name="Sepal length")+
  scale_y_continuous(name="Petal length")+
  labs(title="Sepal and petal lengths of irises")+
  theme_dohac_blue()

As well as utilising DoHAC coloutes these themes are rendered using the Helvetica neue font.

Maps

{dohactheme} exports a theme - theme_dohac_map() to be used when plotting maps. This theme can be produced with white or blue backgrounds. White is the default.

#> Linking to GEOS 3.11.2, GDAL 3.7.2, PROJ 9.3.0; sf_use_s2() is TRUE

## basic example of a map with grey background
ggplot(
  data = 
    strayr::read_absmap(
      name="state2021",
      remove_year_suffix = TRUE
      ) |> 
    filter(state_name %in% strayr::state_name_au) |> 
    mutate(state_name = 
             factor(
               state_name, 
               levels=strayr::state_name_au)
           ),
  aes(fill=state_name, x=cent_long, y =cent_lat, label = str_wrap(state_name,10))) +
  geom_sf() +
  geom_text(colour = dohac.blue, lineheight=.5)+
  scale_fill_manual(guide='none',values=colorspace::lighten(strayr::palette_state_name_2016,.7)) +
  labs(title="Australia's States and Territories")+
  theme_dohac_map(base_colour = "white", base_size = 10)

## basic example of a map with grey background
ggplot(
  data = 
    strayr::read_absmap(
      name="state2021",
      remove_year_suffix = TRUE
      ) |> 
    filter(state_name %in% strayr::state_name_au) |> 
    mutate(state_name = 
             factor(
               state_name, 
               levels=strayr::state_name_au)
           ),
  aes(fill=state_name, x=cent_long, y =cent_lat, label = str_wrap(state_name,10))) +
  geom_sf() +
  geom_text(colour = dohactheme::dohac.lightteal, lineheight=.5)+
  scale_fill_manual(guide='none',values=colorspace::lighten(strayr::palette_state_name_2016,.2)) +
  labs(title="Australia's States and Territories")+
  theme_dohac_map(base_colour = "blue", base_size = 10)
#> Reading state2021 file found in C:\Users\SAMUEL~1\AppData\Local\Temp\RtmpY9vwA5

DoHAC palette comes with a set of 6 discrete colour palettes, and 2 sequential colour palettes, which can be accessed from the following R objects:

• dohac_colours for discrete palettes
• dohac_palettes for discrete and sequential palettes

Discrete

Discrete palettes matching the above groups - primary, secondary, tints,neutrals and accents.

plot(dohac_colours[1:5])

Tints

For long form documents infographics and charts, tints from the DoHAC colour palette can be used in 20 per cent increments. dohac_palettes$blues and dohac_palettes$teals are populated with compliant blue and teal shades.

plot(dohac_colours)

Palettes can be subset using [, [[, and $.

• To extract one or more palettes use [:

  plot(dohac_palettes[c("primary", "accents")])

  

• To extract a single palette as a colour vector use [[ or $:

  plot(dohac_palettes[["teals"]])

  

  plot(dohac_palettes$blues)

  

• To get names of palettes use names():

  names(dohac_palettes)
  #> [1] "primary"    "secondary"  "tints"      "neutrals"   "accents"   
  #> [6] "accessible" "blues"      "teals"

Documentation

See also documentation for the palettes package at https://mccarthy-m-g.github.io/palettes/ or in the installed package: help(package = "palettes").