我想创建一个热图,显示颜色中的最高值,可能是浅蓝色,最低值是深蓝色,整个列中的颜色不同。这应该是逐列的,而不是整个表。
我将如何做到这一点?
示例代码:
library(gtable)
library(grid)
library(gridExtra)
g <- tableGrob(iris[1:4, 1:3])
g <- gtable_add_grob(g,
grobs = rectGrob(gp = gpar(fill = NA, lwd = 2)),
t = 2, b = nrow(g), l = 1, r = ncol(g))
g <- gtable_add_grob(g,
grobs = rectGrob(gp = gpar(fill = NA, lwd = 2)),
t = 1, l = 1, r = ncol(g))
grid.draw(g)
答案 0 :(得分:1)
您可以通过定义主题
来实现library(gtable)
library(grid)
library(gridExtra)
iris <- as.matrix(iris[1:4, 1:3])
# a simple function to scale each column to the range [0, 1]
norm <- function(x) {
apply(x, 2, function(y){(y-min(y))/(max(y)-min(y))})
}
bluecol <- colorRamp(c("#3366EE", "#AABBFF", "#DDDDFF"))(norm(iris))
bluecol <- rgb(bluecol[, 1], bluecol[, 2], bluecol[, 3], max=255)
tt <- ttheme_default(core=list(bg_params=list(fill=bluecol)))
g <- tableGrob(iris, theme=tt)
g <- gtable_add_grob(g,
grobs = rectGrob(gp = gpar(fill = NA, lwd = 2)),
t = 2, b = nrow(g), l = 1, r = ncol(g))
g <- gtable_add_grob(g,
grobs = rectGrob(gp = gpar(fill = NA, lwd = 2)),
t = 1, l = 1, r = ncol(g))
grid.draw(g)
答案 1 :(得分:0)
grid.table中有一个鲜为人知的特性,它允许你用任意的grob覆盖负责为每个单元格创建textGrob的函数。因此理论上可以处理每个单元格的值并将其转换为彩色矩形,例如,或者火花线等。虽然有点尴尬,但速度很慢。下面是整个表格的常见比例说明,但应该很容易适应问题(但我不认为grid.table是开始的正确方法)。
d <- as.matrix(iris[1:4, 1:3])
colourise <- function(d, colours = blues9){
new <- scales::colour_ramp(colours)(scales::rescale(d))
dim(new) <- dim(d)
new
}
library(grid)
library(gridExtra)
my_fun <- function(label, ...){
g <- rectGrob( gp=gpar(fill=label,col="white",lwd=2))
grobTree(g,cl="cell") # wrapper to give a size
}
# cells need an absolute size
widthDetails.cell <- function(x)
unit(1,"lines")
heightDetails.cell <- function(x)
unit(1,"lines")
tt <- ttheme_minimal(12, core=list(fg_fun = my_fun),
colhead=list(fg_params=list(fontface="bold")))
grid.newpage()
grid.arrange(tableGrob(colourise(d), cols=colnames(d), theme = tt), tableGrob(d,rows=NULL))