README.md

In ultrachord/ultraPlot: Create ggplots in the Ultrachord style.

ultraPlot

Single function R package for applying the theme and style of Ultrachord to ggplot2 plots.

Install ultraPlot

# install.packages('devtools')
devtools::install_github('ultrachord/ultraPlot')

Using the functions

Example of how it is used in a standard workflow:

iris |>
    ggplot2::ggplot(ggplot2::aes(x = Sepal.Length, y = Sepal.Width)) +
    ggplot2::geom_point(ggplot2::aes(color = Species, shape = Species)) +
    ggplot2::labs(title = "Iris data", subtitle = "Classic data", x = "Sepal Length", y = "Sepal Width") +
    ggplot2::facet_grid(~ Species) +
    ultraPlot::theme_ultrachord()

data.frame(year = time(nhtemp), tmps = as.matrix(nhtemp)) |>
    ggplot2::ggplot(ggplot2::aes(x = year, y = tmps)) +
    ggplot2::geom_line() +
    # ggplot2::geom_hline(yintercept = 0, size = 1, colour = "#333333") +
    ggplot2::labs(title = "New Hampshire yearly temperatures", subtitle = "Collected between 1912 and 1971", x = "Year", y = "Average temperature") +
    ultraPlot::theme_ultrachord()

Example plots

ultrachord/ultraPlot documentation built on Jan. 3, 2022, 12:16 a.m.