#' See grafify colour palettes
#'
#' This simple function allows quick visualisation of colours in grafify palettes and their hex codes. It uses \code{plot_scatterbar_sd} and some arguments are similar and can be adjusted.
#'
#' @param palette name of grafify palettes: "okabe_ito", "vibrant, "bright", "pale", "muted", "dark", "light", "contrast" or "all_grafify".
#' @param fontsize font size.
#' @param ... any additional parameters to pass to \code{\link{plot_scatterbar_sd}}
#'
#' @return This function returns a \code{ggplot2} object of class "gg" and "ggplot".
#' @export plot_grafify_palette
#' @import ggplot2
#' @importFrom stats reorder
#'
#' @examples
#' plot_grafify_palette("pale")
#' plot_grafify_palette("contrast")
#'
plot_grafify_palette <- function(palette = c("okabe_ito", "all_grafify", "bright", "contrast", "dark", "fishy", "kelly", "light", "muted", "pale", "r4", "safe", "vibrant", "OrBl_div", "PrGn_div", "blue_conti", "grey_conti", "yellow_conti"), fontsize = 14, ...) {
palette <- match.arg(palette)
names <- as.vector(names(as.list(graf_palettes[[palette]])))
names <- factor(names,
levels = rev(names))
colours <- as.vector(graf_palettes[[palette]])
t1 <- data.frame(names = names,
colours = colours)
names2 <- paste0(t1[,1], "_", t1[,2])
t1$names <- factor(t1$names,
levels = names,
labels = rev(names2))
#t1[order(t1$number),]
suppressWarnings(P <- plot_scatterbar_sd(data = t1,
xcol = names,
ycol = .1, s_alpha = 0,
ColPal = palette,
ColRev = TRUE,
fontsize = fontsize,
b_alpha = 1,
...)+
guides(fill = "none")+
theme(axis.line.x = element_blank(),
axis.line.y = element_blank(),
axis.text.x = element_blank(),
axis.ticks.x = element_blank(),
axis.ticks.y = element_blank(),
axis.title.x = element_blank(),
axis.title.y = element_blank())+
labs(title = paste0("grafify palette: ", palette))+
coord_flip())
P
}
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