Simplify the creation of your data visualizations with the
{cccmthemes} R package. It is designed to align your plots with
CCCM’s Design Guide
recommendations. This package offers a comprehensive {ggplot2} theme,
including built-in customizations and thoughtfully crafted color
palettes.
Get started by installing the {cccmthemes} package from GitHub using
the {pak} library:
# If pak is not yet installed, uncomment the following line:
# install.packages("pak")
pak::pkg_install("vidonne/cccmthemes")
# Load required packages
library(ggplot2)
library(cccmthemes)
{ggplot2} theme# Apply the theme_unhcr() to your plot
ggplot(
mtcars,
aes(x = hp, y = mpg)
) +
geom_point() +
labs(
title = "Simple scatterplot with ggplot",
subtitle = "This plot shows the default style of theme_cccm()",
x = "Horsepower (hp)",
y = "Fuel efficiency (mpg)",
caption = "Source: mtcars"
) +
theme_cccm()

The officially recommended font is
Inter. To ensure optimal
functionality of the {cccmthemes} package, please make sure that the
Inter font is installed on your device prior to usage.
We extend our gratitude to the creators of the
{hrbrthemes},
{cowplot} and
{unhcrthemes} packages that
influenced the development of {cccmthemes}.
Contributions to {cccmthemes} are highly valued. If you have
suggestions, uncover bugs, or envision new features, kindly submit an
issue on GitHub. To
contribute code, don’t hesitate to fork the repository and create a pull
request.
This package is distributed under the MIT License.