假设我有这些数据:
d1 <- data.frame(x = letters[1:3], y=LETTERS[24:26], num = 1:3)
d2 <- data.frame(x = letters[1:3], y=LETTERS[24:26], num = c(1,2,30))
library(gridExtra)
library(ggplot2)
ggd1 <- ggplot(d1, aes(x=x,y=y)) +
geom_tile(aes(fill=num)) +
scale_fill_gradient(low = "green", high = "blue")
ggd2 <- ggplot(d2, aes(x=x,y=y)) +
geom_tile(aes(fill=num)) +
scale_fill_gradient(low = "green", high = "blue")
grid.arrange(ggd1,ggd2)
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我的问题是如何规范填写梯度,这样即使在D1和D2的数据的程度不同,颜色X-a,Y-b768,16匹配两条曲线,但Z-c应该由一个数量级的差别.即我希望两个图都保持相同的比例.
为每个图添加限制:
ggd1 <- ggplot(d1, aes(x=x,y=y)) +
geom_tile(aes(fill=num)) +
scale_fill_gradient(low = "green", high = "blue", limits=c(1, 30))
ggd2 <- ggplot(d2, aes(x=x,y=y)) +
geom_tile(aes(fill=num)) +
scale_fill_gradient(low = "green", high = "blue", limits=c(1, 30))
grid.arrange(ggd1,ggd2)
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