我尝试在strip.background()
包的ggplot2()
函数的fill参数中创建颜色渐变。
这里是我想要拥有的照片:
还有我尝试使用的代码:
# Charge random data
data('mtcars')
# Create fake variable in order to create title into coloured box
mtcars$tempvar <- "My title"
# Run the ggboxplot
ggboxplot(mtcars, x = "cyl", y = "qsec",
color = "cyl",
palette = c("#E7B800", "#FC4E07", "#00AFBB"),
ylab = "cyl", xlab = "qsec",
legend = "none") +
facet_grid(. ~ tempvar) +
theme(strip.background = element_rect(fill="darkgreen"),
strip.text = element_text(size=15, colour="white") )
这给出了:
因此,我尝试从scale_color_manual()
或colorRampPalette(c("yellow", "green"))
创建一个调色板,然后放入element_rect()
,但这没用。
我还尝试从Google图片上传带有渐变色背景的图片,并像blog一样将其粘贴到annotation_custom(rasterGrob(image))
的正确位置,但这也不起作用。
任何以适当方式对此进行编程的建议,将不胜感激。
答案 0 :(得分:3)
从技术上讲?可以做到的。 (无论是图表垃圾还是良好实践都是另一回事...)
p <- ggplot(mtcars, aes(mpg, drat)) +
geom_point() +
facet_grid(~"facet title")
# basic demonstration
p +
theme(strip.background =
element_gradient(fill1 = "black", fill2 = "white"))
# with different gradient direction & outline specifications
p +
theme_minimal() +
theme(strip.background =
element_gradient(fill1 = "brown", fill2 = "salmon",
direction = "vertical",
color = "white", size = 2,
linetype = "dotted"))
# with horizontal / vertical facets in different gradient directions
p + facet_grid("vertical title" ~ "horizontal facet title") +
theme_classic() +
theme(strip.background = element_gradient(fill1 = "green", fill2 = "yellow", size = 1),
strip.background.y = element_gradient(direction = "vertical"))
element_gradient
定义为element_rect
的替代方法:element_gradient <- function(fill1 = NULL, fill2 = NULL, direction = NULL,
colour = NULL, size = NULL,
linetype = NULL, color = NULL, inherit.blank = FALSE) {
if (!is.null(color)) colour <- color
structure(
list(fill1 = fill1, fill2 = fill2, direction = direction,
colour = colour, size = size, linetype = linetype,
inherit.blank = inherit.blank),
class = c("element_gradient", "element")
)
}
element_grob.element_gradient <- function(
element,
fill1 = "white", fill2 = "red", direction = "horizontal", # default: white-red gradient
x = 0.5, y = 0.5, width = 1, height = 1, colour = NULL,
size = NULL, linetype = NULL, ...) {
# define gradient colours & direction
if(!is.null(element$fill1)) fill1 <- element$fill1
if(!is.null(element$fill2)) fill2 <- element$fill2
if(!is.null(element$direction)) direction <- element$direction
image <- colorRampPalette(c(fill1, fill2))(2)
if(direction == "horizontal") {
image <- matrix(image, nrow = 1)
} else {
image <- matrix(image, ncol = 1)
}
gp <- grid::gpar(lwd = ggplot2:::len0_null(size * .pt), col = colour, lty = linetype)
element_gp <- grid::gpar(lwd = ggplot2:::len0_null(element$size * .pt), col = element$colour,
lty = element$linetype, fill = NA)
grid::grobTree(
grid::rasterGrob(image, x, y, width, height, ...),
grid::rectGrob(x, y, width, height, gp = utils::modifyList(element_gp, gp), ...))
}
ggplot
接受element_gradient
/ element_rect
/ strip.background
的{{1}}而不是strip.background.x
:strip.background.y
# make a copy of ggplot's global variables / settings, & modify its element_tree
ggplot_global.new <- ggplot2:::ggplot_global
ggplot_global.new$element_tree$gradient <- ggplot2:::el_def("element_gradient")
ggplot_global.new$element_tree$strip.background <- ggplot2:::el_def("element_gradient", "gradient")
ggplot_global.new$element_tree$strip.background.x <- ggplot2:::el_def("element_gradient", "strip.background")
ggplot_global.new$element_tree$strip.background.y <- ggplot2:::el_def("element_gradient", "strip.background")
对此投诉: 注意:尽管我通常不喜欢修改包的内部函数(即使它是临时的),但在这种情况下,替代方案将涉及基于现有未导出的函数定义一系列中间函数。 ggplot
包中,并依次进行修改。考虑到涉及的步骤/功能的数量,我认为这种方法会更加脆弱。
ggplot2
并替换trace(ggplot2:::merge_element.element, edit = TRUE)
使用
if (!inherits(new, class(old)[1])) {
stop("Only elements of the same class can be merged", call. = FALSE)
}
if (!inherits(new, class(old)[1]) & class(new)[1] != "element_gradient") {
stop("Only elements of the same class can be merged", call. = FALSE)
}
并替换trace(ggplot2:::validate_element, edit = TRUE)
使用
else if (!inherits(el, eldef$class) &&
!inherits(el, "element_blank")) {
stop("Element ", elname, " must be a ", eldef$class, " object.")
}
else if (!inherits(el, eldef$class) &&
!inherits(el, "element_blank") &&
eldef$class != "element_gradient") {
stop("Element ", elname, " must be a ", eldef$class, " object.")
行为:ggplot