The package is designed so the user just has to run
gghdx() once a session and mainly forget about it. This
will automatically set your ggplot2 to use the HDX theme, palettes,
fonts, and more by default. If you want more control or want to better
understand how the package works, please see the details below!
A quick and simple example would be plotting the
dataset included in base R.
This output using the base ggplot style doesn’t look particularly
bad, but we can use
theme_hdx() to quickly adjust some of
the styling to fit the style guide.
Now, axis lines have been cleaned up and the plot better resembles recommendations from the visual guide with just that single line of code.
However, the color palette for the points is still using the base R
palette. We can use one of the many
functions to use HDX colors. Let’s just use the primary discrete color
scale that will align each species with one of the 3 non-gray colorramps
(sapphire, mint, and tomato).
You can check the documentation of any of the
scale_...hdx() functions to see all available scales, or
directly access the colors using
hdx_colors() or the raw
hdx_color_list. The available palettes can be
easily visualized using
We also would like to use the HDX font family. Since Source Sans 3 is a free Google font, it makes it relatively easy to access in R. gghdx uses the sysfonts package to load the Google font and then showtext to include them in our plot. You can also use the extrafont package as an alternative if you have the font installed locally. This requires ghostscript to be installed locally and can run into other issues, such as font names not being found.
Below, I use the showtext package because it’s simpler.
As clear above, even though we have an HDX theme function, we still
have to separately call the scale function to adjust our colors. And we
have to call these every time we make a new plot. So, to make life
gghdx() is provided as a convenience function that
sets ggplot to:
scale_color_hdx_discrete() as the default discrete fill and
scale_color_gradient_hdx_sapphire() as the default
continuous fill and color;
You just have to run
gghdx() once a session, and then
our plots will already be where we would like!