{dRacula} | Dracula Theme for R

All things Dracula themed for R

Install

All instructions can be found at draculatheme.com/R.

devtools::install_github("dracula/dRacula")

or

remotes::install_github("dracula/dRacula")

Examples

Add a Dracula-themed _brand.yaml to your project:

library(dRacula)
dracula_brand()

Apply the Dracula theme and color scale to a linear regression plot:

library(dplyr)
library(ggplot2)
library(dRacula)

lm <- lm(mpg ~ wt, data = mtcars)

ggplot(mtcars %>% mutate(resid = abs(resid(lm)), fitted = fitted(lm))) +
  geom_line(aes(wt, fitted)) +
  geom_point(aes(wt, mpg, color = resid)) +
  scale_color_dracula(discrete = FALSE) +
  theme_dracula() +
  ggtitle("mtcars: MPG by Weight") +
  labs(x = "Weight", y = "MPG", color = "Residuals")

Apply the Dracula palette and theme to proportional stacked area chart:

library(dplyr)
library(ggplot2)
library(dRacula)

set.seed(1)
time <- rep(seq(1, 7), each = 5)
value <- runif(35, 10, 100)
group <- rep(LETTERS[1:5], times = 7)

data <- data.frame(time, value, group) %>%
  group_by(time, group) %>%
  summarise(n = sum(value), .groups = "drop") %>%
  mutate(percentage = n / sum(n))

ggplot(data, aes(x = time, y = percentage, fill = group)) +
  geom_area(alpha = 0.7, color = "black", linewidth = 0.4) +
  scale_fill_dracula(discrete = TRUE) +
  labs(
    title = "Proportional Stacked Area Chart",
    x = "Time",
    y = "Proportion",
    fill = "Group"
  ) +
  theme_dracula() +
  theme(legend.position = "bottom")

Team

This theme is maintained by the following person(s) and a bunch of awesome contributors.

Jordan Bradford

Community

• X - Best for getting updates about themes and new stuff.
• GitHub - Best for asking questions and discussing issues.
• Discord - Best for hanging out with the community.

Contributing

See CONTRIBUTING.md.

Acknowledgments

I’m indebted to the {viridis} and {wesanderson} R packages for inspiration and several plot examples.

License

MIT License