ggplot2，用于变量审美映射的线堆叠顺序 [英] ggplot2, line stacking order for aesthetic mapping of variable

问题描述

  library（foreach）$我有这种情况，我正在绘制一系列的行，如下所示： b $ b library（ggplot2）
 
 df.test<  -  foreach（ix = seq（0,1，by = 0.01），combine = rbind）％do％{
 theta = seq（-pi，pi，by = pi / 100）
 data.frame（IX = ix，theta = theta，value = ix * sin（theta））
} 
 ggplot df.test，aes（x = theta，y = value，color = IX，group = IX，order = -IX））+ geom_path（）+ 
 theme_bw（）+ labs（x =Theta，y =Sin（Theta），color =Index，title =Example Plot）+ 
 theme（legend.position = c（0,1），legend.justification = c（0,1）） 
  

产生如下的情节：

如果您仔细观察原点，高指数值（浅蓝色）的值会堆积在线条的顶部低指数值（深蓝色）。

我该如何反转这使得深蓝线（低指数）堆积在浅蓝色线条（高指数）的顶部。

以上是类似于我的实际问题，我正在绘制各种温度的科学数据。低温值比高温值更有意义，所以我不希望低温线可能被高温线遮挡，实际上相反是我的偏好。

我相信颠倒组顺序应该做到这一点（不改变颜色），

  ggplot（df.test，aes（x = theta，y = value，color = IX，group = rev（IX）））+ 
 geom_path（lwd = 2）+ 
 theme_bw （）+ 
 labs（x =Theta，y =Sin（Theta），color =Index，title =Example Plot）+ 
 theme（legend.position = c 0,1），legend.justification = c（0,1））+ 
 coord_cartesian（xlim = c（-0.2,0.2），ylim = c（-0.2,0.2））
  

I have this situation where I am plotting a series of lines, something like the following:

library(foreach)
library(ggplot2)

df.test <- foreach(ix = seq(0,1,by=0.01),.combine=rbind) %do% {
  theta = seq(-pi,pi,by=pi/100)
  data.frame(IX=ix,theta=theta,value=ix*sin(theta))
}
ggplot(df.test,aes(x=theta,y=value,color=IX,group=IX,order=-IX)) + geom_path() +
  theme_bw() + labs(x="Theta",y="Sin(Theta)",color="Index",title="Example Plot") +
  theme(legend.position=c(0,1),legend.justification=c(0,1))

Which produces a plot as follows:

If you look closely at the origin, the values of high index value (light blue) are stacked on top of the lines with low index value (dark blue).

How can I reverse this, so that the dark blue lines (low index) are stacked on top of the light blue lines (high index).

The above is analogous to my actual problem, where I am plotting scientific data for various temperatures. The low temperature values are more meaningful than the high temperature values, so I do not want the low temperature lines to be potentially masked by the high temperature lines, in fact the opposite is my preference.

解决方案

I believe reversing the group order should do it (without changing the colours),

ggplot(df.test,aes(x=theta,y=value,color=IX,group=rev(IX))) + 
    geom_path(lwd=2) +
    theme_bw() + 
    labs(x="Theta",y="Sin(Theta)",color="Index",title="Example Plot") +
    theme(legend.position=c(0,1),legend.justification=c(0,1)) + 
    coord_cartesian(xlim=c(-0.2,0.2), ylim=c(-0.2,0.2))

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