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Create discrete-bmj.R
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#' The BMJ Color Palettes | ||
#' | ||
#' Color palette inspired by plots in | ||
#' \emph{The BMJ}. | ||
#' | ||
#' @param palette Palette type. | ||
#' Currently there is one available option: \code{"default"} | ||
#' (7-color palette). | ||
#' @param alpha Transparency level, a real number in (0, 1]. | ||
#' See \code{alpha} in \code{\link[grDevices]{rgb}} for details. | ||
#' | ||
#' @export pal_bmj | ||
#' | ||
#' @importFrom grDevices col2rgb rgb | ||
#' @importFrom scales manual_pal | ||
#' | ||
#' @author Hui Chen <\email{huichen@@zju.edu.cn}> | ||
#' Modified from Nan Xiao's code on JAMA pallett | ||
#' | ||
#' @examples | ||
#' library("scales") | ||
#' show_col(pal_bmj("default")(7)) | ||
#' show_col(pal_bmj("default", alpha = 0.6)(7)) | ||
pal_bmj <- function(palette = c("default"), alpha = 1) { | ||
palette <- match.arg(palette) | ||
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if (alpha > 1L || alpha <= 0L) stop("alpha must be in (0, 1]") | ||
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raw_cols <- ggsci_db$"bmj"[[palette]] | ||
raw_cols_rgb <- col2rgb(raw_cols) | ||
alpha_cols <- rgb( | ||
raw_cols_rgb[1L, ], raw_cols_rgb[2L, ], raw_cols_rgb[3L, ], | ||
alpha = alpha * 255L, names = names(raw_cols), | ||
maxColorValue = 255L | ||
) | ||
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manual_pal(unname(alpha_cols)) | ||
} | ||
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#' Journal of the American Medical Association Color Scales | ||
#' | ||
#' See \code{\link{pal_bmj}} for details. | ||
#' | ||
#' @inheritParams pal_bmj | ||
#' @param ... additional parameters for \code{\link[ggplot2]{discrete_scale}} | ||
#' | ||
#' @export scale_color_bmj | ||
#' | ||
#' @importFrom ggplot2 discrete_scale | ||
#' | ||
#' @author Nan Xiao <\email{me@@nanx.me}> | | ||
#' <\href{https://nanx.me}{https://nanx.me}> | ||
#' | ||
#' @rdname scale_bmj | ||
#' | ||
#' @examples | ||
#' library("ggplot2") | ||
#' data("diamonds") | ||
#' | ||
#' ggplot( | ||
#' subset(diamonds, carat >= 2.2), | ||
#' aes(x = table, y = price, colour = cut) | ||
#' ) + | ||
#' geom_point(alpha = 0.7) + | ||
#' geom_smooth(method = "loess", alpha = 0.1, size = 1, span = 1) + | ||
#' theme_bw() + | ||
#' scale_color_bmj() | ||
#' | ||
#' ggplot( | ||
#' subset(diamonds, carat > 2.2 & depth > 55 & depth < 70), | ||
#' aes(x = depth, fill = cut) | ||
#' ) + | ||
#' geom_histogram(colour = "black", binwidth = 1, position = "dodge") + | ||
#' theme_bw() + | ||
#' scale_fill_bmj() | ||
scale_color_bmj <- function(palette = c("default"), alpha = 1, ...) { | ||
palette <- match.arg(palette) | ||
if (is_ggplot2_350()) { | ||
discrete_scale("colour", palette = pal_bmj(palette, alpha), ...) | ||
} else { | ||
discrete_scale("colour", scale_name = "bmj", palette = pal_bmj(palette, alpha), ...) | ||
} | ||
} | ||
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#' @export scale_colour_bmj | ||
#' @rdname scale_bmj | ||
scale_colour_bmj <- scale_color_bmj | ||
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#' @export scale_fill_bmj | ||
#' @importFrom ggplot2 discrete_scale | ||
#' @rdname scale_bmj | ||
scale_fill_bmj <- function(palette = c("default"), alpha = 1, ...) { | ||
palette <- match.arg(palette) | ||
if (is_ggplot2_350()) { | ||
discrete_scale("fill", palette = pal_bmj(palette, alpha), ...) | ||
} else { | ||
discrete_scale("fill", scale_name = "bmj", palette = pal_bmj(palette, alpha), ...) | ||
} | ||
} |