Templates and themes following INRAE's Design System • InraeThemes

InraeThemes is a collection of R-related templates, themes, and other graphical elements based on formats related to R and in accordance with the INRAE design system.

The goal of this 📦 is to provide a easy to use themes and color palettes for INRAE engineers and researchers. These are an unofficial and opiniated templates.

The quarto-inrae-extension which provides a wide range of quarto-based formats for documents, slides and projects.

Prerequisites

To make the full use of this package, you will need 2 fonts defined in INRAE’s design system : Raleway and Avenir Next Pro Cn that can be downloaded here

Installation

The package can be installed using:

# install.packages("remotes")
remotes::install_github("davidcarayon/InraeThemes")

Note: Older versions with Rmarkdown templates (i.e., 1.0.1) can still be downloaded using:
# install.packages("remotes")
remotes::install_github("davidcarayon/InraeThemes@v1.0.1")

Colors

A color palette is available in this package, based on INRAE’s design system

palette_inrae()

ggplot2 themes and scales

Customize your ggplots using INRAE’s colors with theme_inrae() and/or scale_<fill/color>_inrae().

Here are examples using the iris dataset.

library(InraeThemes)
library(ggplot2)

# If needed
sysfonts::font_add_google("Raleway")

# Load the fonts
showtext::showtext_auto()

# Load data
data(iris)

# The plot
ggplot(data = iris, aes(x = Sepal.Length, y = Petal.Length, group = Species)) +
  geom_point(aes(color = Species, shape = Species), size = 3, alpha = 0.8) +
  geom_smooth(method = "lm", se = FALSE, aes(color = Species)) +
  scale_color_inrae() +
  labs(
    title = "Iris dimensions",
    subtitle = "This is a subtitle explaining what you can see in this plot",
    x = "Sepal Length",
    y = "Petal Length",
    color = "Iris species",
    shape = "Iris species"
  ) +
  theme_inrae()


ggplot(data = iris, aes(x = Sepal.Width)) +
  geom_histogram(aes(fill = Species), alpha = 0.5, position = "identity") +
  scale_fill_inrae() +
  labs(x = "Sepal Width", y = "Frequency", title = "Sepal Width distribution") +
  theme_inrae()

Bootstrap theme

This package also provides a Sass theme built with {bslib}: bs_inrae(). Preview the theme with:

bslib::bs_theme_preview(bs_inrae())

And can be used in any Shiny app with :

ui <- fluidPage(
  theme = InraeThemes::bs_inrae(),
  ...
)

Project templates

This package provides an opinionated project directory structure for data analysis which can be either used by going though Projects > New Project > New Directory in Rstudio or by using :

new_analysis("myproj")

InraeThemes