sit_palette <- c(
"#ccb88e",
"#80653e",
"#b54217",
"#959881",
"#7e8091",
"#5e614a",
"#4e4e53",
"#2b210f"
)
#' @title Somewhere in Time palette
#' @description Colour palette based on Iron Maiden's Somewhere in Time album sleeve.
#' @inheritDotParams ggplot2::discrete_scale
#' @param n number of colors
#' @param type discrete or continuous
#' @param reverse reverse order, Default: FALSE
#' @rdname sit_pal
#' @examples
#' library(scales)
#' show_col(sit_pal()(8))
#' @export
#' @importFrom scales manual_pal
#' @importFrom glue glue
#' @importFrom grDevices colorRampPalette
sit_pal <- function(n, type = c("discrete", "continuous"),
reverse = FALSE){
sit <- sit_palette
if (reverse == TRUE) {
sit <- rev(sit)
}
if (missing(n)) {
n <- length(sit)
}
type <- match.arg(type)
if (type == "discrete" && n > length(sit)) {
stop(glue::glue("Palette does not have {n} colors, maximum is {length(sit)}!"))
}
sit <- switch(type,
continuous = grDevices::colorRampPalette(sit)(n),
discrete = sit[1:n])
sit <- scales::manual_pal(sit)
return(sit)
}
#' @title scale_color_sit
#' @rdname sit_pal
#' @export
#' @examples
#'
#' library(discovr)
#' library(ggplot2)
#'
#' # Get albums in the classic era from the discovr::eddiefy data.
#' # I'm not including fear of the dark because it's not in any way classic.
#' # No prayer for the dying was pushing its luck too if I'm honest.
#'
#' classic_era <- subset(eddiefy, year < 1992)
#'
#' # Plot some data and apply theme to color (note US English)
#'
#' ggplot(classic_era, aes(x = energy, y = valence, color = album_name)) +
#' geom_point(size = 2) +
#' theme_minimal() +
#' scale_color_sit()
#' @importFrom ggplot2 discrete_scale scale_color_gradientn
scale_color_sit <- function(n, type = "discrete",
reverse = FALSE, ...){
if (type == "discrete") {
ggplot2::discrete_scale("color", "sit",
sit_pal(n = n, type = type,
reverse = reverse), ...)
} else {
ggplot2::scale_color_gradientn(colors = sit_pal(n = n, type = type,
reverse = reverse)(256))
}
}
#' @title scale_colour_sit
#' @rdname sit_pal
#' @export
#' @examples
#'
#' # Plot some data and apply theme to colour (note UK English)
#'
#' ggplot(classic_era, aes(x = energy, y = valence, color = album_name)) +
#' geom_point(size = 2) +
#' theme_minimal() +
#' scale_colour_sit()
#' @importFrom ggplot2 discrete_scale scale_color_gradientn
scale_colour_sit <- scale_color_sit
#' @title scale_fill_sit
#' @rdname sit_pal
#' @export
#' @examples
#'
#' # Plot some data and apply theme to fill
#'
#' ggplot(classic_era, aes(x = album_name, y = valence, fill = album_name)) +
#' geom_violin() +
#' theme_minimal() +
#' theme(axis.text.x = element_text(angle = 90)) +
#' scale_fill_sit()
#' @importFrom ggplot2 discrete_scale scale_fill_gradientn
scale_fill_sit <- function(n, type = "discrete",
reverse = FALSE, ...){
if (type == "discrete") {
ggplot2::discrete_scale("fill", "sit",
sit_pal(n = n, type = type,
reverse = reverse), ...)
} else {
ggplot2::scale_fill_gradientn(colors = sit_pal(n = n, type = type,
reverse = reverse)(256))
}
}
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