ggplot2直方图中每个面的不同中断 [英] Different breaks per facet in ggplot2 histogram

问题描述

ggplot2挑战的格式需要帮助：在直方图中请求可变每个面的中断的语法是什么？

A ggplot2-challenged latticist needs help: What's the syntax to request variable per-facet breaks in a histogram?

library(ggplot2)
d = data.frame(x=c(rnorm(100,10,0.1),rnorm(100,20,0.1)),par=rep(letters[1:2],each=100))
# Note: breaks have different length by par
breaks = list(a=seq(9,11,by=0.1),b=seq(19,21,by=0.2))
ggplot(d, aes(x=x) ) + 
  geom_histogram() + ### Here the ~breaks should be added
  facet_wrap(~ par,  scales="free")

正如 jucor ，此处一些更多的解决方案。

As pointed out by jucor, here some more solutions.

在特殊要求下，为了说明为什么我不是一个好的ggplot粉丝，格

On special request, and to show why I am not a great ggplot fan, the lattice version

library(lattice)
d = data.frame(x=c(rnorm(100,10,0.1),rnorm(100,20,0.1)),par=rep(letters[1:2],each=100))
# Note: breaks have different length by par
myBreaks = list(a=seq(8,12,by=0.1),b=seq(18,22,by=0.2))
histogram(~x|par,data=d,
          panel = function(x,breaks,...){
            # I don't know of a generic way to get the 
            # grouping variable with histogram, so 
            # this is not very generic
            par = levels(d$par)[which.packet()]
            breaks = myBreaks[[par]]
            panel.histogram(x,breaks=breaks,...)
          },
          breaks=NULL, # important to force per-panel compute
          scales=list(x=list(relation="free")))

< img src =https://i.stack.imgur.com/tbKcz.pngalt =在这里输入图片描述>

推荐答案

这里有一个替代方案：

Here is one alternative:

hls <- mapply(function(x, b) geom_histogram(data = x, breaks = b), 
              dlply(d, .(par)), myBreaks)
ggplot(d, aes(x=x)) + hls + facet_wrap(~par, scales = "free_x")

如果您需要缩小x的范围，然后

If you need to shrink the range of x, then

hls <- mapply(function(x, b) {
  rng <- range(x$x)
  bb <- c(rng[1], b[rng[1] <= b & b <= rng[2]], rng[2])
  geom_histogram(data = x, breaks = bb, colour = "white")
}, dlply(d, .(par)), myBreaks)

ggplot(d, aes(x=x)) + hls + facet_wrap(~par, scales = "free_x")

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