suezalla is a lightweight R package that provides:
ggplot2 themes: theme_magazine(),
theme_latex(), theme_zombie(),
theme_academic1940(), and
theme_academic1940_pattern()ggpattern, including
suezalla_academic_style()scale_colour_suezalla() and
scale_fill_suezalla()These tools help you create clean, consistent, or stylistically bold visualizations with minimal effort.
Install the development version of suezalla from GitHub
using devtools:
# If not already installed
install.packages("devtools")
# Install suezalla
devtools::install_github("sucanavan/suezalla")
The suezalla package includes several curated colour
palettes that you can use in your plots. Below is a visual preview of
each palette:
Note: The
npgpalette is based on the Nature Publishing Group (NPG) color scheme as provided by theggscipackage.
| Palette | Colours |
|---|---|
polaroid
|
|
vibrant
|
|
jam
|
|
corporate
|
|
lively1
|
|
lively2
|
|
retro
|
|
autumn
|
|
zombie
|
|
academic
|
|
npg
|
To extract colours programmatically from a palette, use the
suezalla_palette() function.
palette_name: The name of the palette you want to use,
such as "jam" or "autumn".n: The number of colours to return.type: "discrete" for exact colours or
"continuous" for a smooth gradient (interpolated).# Return 4 discrete colours from the 'jam' palette
suezalla_palette("jam", n = 4)
## [1] "#FBC9BE" "#DB7B65" "#ECB865" "#695356"
# Return 10 interpolated colours from the 'autumn' palette as a gradient
suezalla_palette("autumn", n = 10, type = "continuous")
## [1] "#388388" "#42A4A5" "#51BDB5" "#74B592" "#9FB578" "#D3BF6E" "#ECB867"
## [8] "#F2A562" "#EE8B59" "#E76F51"
The suezalla package auto-loads:
theme_suezalla()theme_zombie()These are handled automatically via sysfonts and
showtext when the package is attached.
This plot uses theme_latex(), a clean black-and-white
theme with a serif font designed to resemble LaTeX-style figures. It is
ideal for academic publications with strict formatting requirements.
ggplot(mtcars, aes(x = mpg, y = wt, shape = factor(carb))) +
geom_point(size = 2, stroke = 0.4) +
theme_latex() +
labs(
title = "Car efficiency by weight",
x = "Miles per Gallon",
y = "Weight",
shape = "Carburetors"
)
This example applies theme_academic1940(), inspired by
mid-20th-century scientific plots. It uses black outlines, serif fonts,
and simple geometry to evoke a retro academic aesthetic.
ggplot(mtcars, aes(x = mpg, y = wt, shape = factor(carb))) +
geom_point(size = 2, stroke = 0.4, color = "black", fill = "white") +
scale_shape_manual(values = c(0, 1, 2, 3, 4, 5)) +
theme_academic1940() +
labs(
title = "Car efficiency by weight",
x = "Miles per Gallon",
y = "Weight (1000 lbs)",
shape = "Carburetors"
)
This example demonstrates theme_academic1940_pattern(),
designed for black-and-white print or accessibility needs. It uses shape
patterns (via ggpattern) instead of color fills.
df <- aggregate(wt ~ cyl, data = mtcars, FUN = mean)
df$cyl <- factor(df$cyl)
ggplot(df, aes(x = cyl, y = wt, fill = cyl, pattern = cyl)) +
theme_academic1940_pattern(n = 3)
The theme_magazine() style is designed for modern
visuals with a bold font and clean grid-free layout. Combined with the
corporate color palette, it gives a contemporary data
journalism vibe.
ggplot(mtcars, aes(x = wt, y = mpg, colour = factor(cyl))) +
geom_point(size = 3) +
scale_colour_suezalla(palette_name = "corporate") +
theme_magazine() +
theme(
axis.ticks = element_line(size = 0.3),
axis.ticks.length = unit(3, "pt")
) +
labs(
title = "Car efficiency by weight",
x = "Weight",
y = "Miles per Gallon",
colour = "Cylinders"
)
A playful and gritty theme (theme_zombie()) with a
hand-drawn feel, using the XKCD font if available. Intended for creative
or informal visualizations.
ggplot(mtcars, aes(y = wt, x = mpg)) +
geom_point(aes(fill = factor(cyl), size = cyl), shape = 21, alpha = 0.8) +
scale_fill_suezalla(palette_name = "zombie") +
theme_zombie() +
labs(
title = "Car efficiency by weight",
x = "Weight",
y = "Miles per Gallon",
colour = "Cylinders"
)