问题描述
更改 scale_fill_gradient2
的上限也会影响值< 0,因为0附近的颜色分布似乎总是对称的,有没有办法得到颜色值的不对称分布?
这里是使用 geom_tile()
:
data< - read.csv ://protzkeule.de/data.csv)
p< - ggplot(data = data,aes(x = variable,y = meas))+ geom_tile(aes(fill = value))
具有对称限制的绘图:
p + scale_fill_gradient2(low =blue,mid =white,high =red,guide =colorbar,limits = c( - 1,.1))
但是当更改上限时,较低的色彩映射也会更改(查看色条):
p + scale_fill_gradient2(low =blue,mid =white,high =red,guide =colorbar,limits = c 1,.3))
code> scale_fill_gradientn 。虽然:
图书馆scales)
p + scale_fill_gradientn(colors = c(blue,white,red),
values = rescale(c( - 1,0,.3)),
guide =colorbar,limits = c( - 。1,.3))
其中包含:
p>
Changing the upper limits for scale_fill_gradient2
also effects the colorscaling for values < 0 as the color distribution around 0 seems to be always symmetrically, is there a way to get a asymmetric distribution of color values?
Here a minimal example of a plot using geom_tile()
:
data <- read.csv("http://protzkeule.de/data.csv")
p <- ggplot(data=data, aes(x=variable, y=meas)) + geom_tile(aes(fill=value))
plot with symmetrical limits:
p + scale_fill_gradient2(low="blue", mid="white", high="red", guide="colorbar", limits=c(-.1,.1))
but when changing the upper limit, the lower colormapping changes as well (watch the colorbar):
p + scale_fill_gradient2(low="blue", mid="white", high="red", guide="colorbar", limits=c(-.1,.3))
What you want is scale_fill_gradientn
. The arguments are not very clear (took me an hour or so to finally figure part of it out), though:
library("scales")
p + scale_fill_gradientn(colours = c("blue","white","red"),
values = rescale(c(-.1,0,.3)),
guide = "colorbar", limits=c(-.1,.3))
Which gives:
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