在空ggplot中获取图例着色 [英] Getting legend coloring in an empty ggplot

问题描述

在呈现实际数据之前，我想绘制一张与数据一致的图，但没有数据点。这有助于我解释如何解释这样的情节，而不会分散观众的真实数据。

所以在下面的代码中，我基本上想要用geom_blank（）交换geom_point（）。没问题。

但是，这也会从图表代码创建的图例中移除颜色和大小信息。有没有办法让它回来？

  ggplot（vas，aes（x = time，y = pain，color = light .color，size = light.intensity））+ 
 #geom_point（na.rm = FALSE）+ 
 geom_blank（）+ 
 facet_wrap（〜ppno）+ 
 scale_colour_manual（values = cols）+ 
 scale_y_continuous（name =VAS Pain（au））+ 
 scale_x_continuous（name =Time（minutes））
  

什么是将颜色指示重新带回图例的正确方法。现在，它们只显示特定参数（颜色或大小）的各个级别的值，但不显示具有特定级别的实际图形元素（点的颜色或大小）。

解决方案

如何隐藏绘图窗口外的实际点？沿着这些线：

  ggplot（cars，aes（x = speed + 100，y = dist））+ #move x右边的值
 geom_point（aes（col = speed））+ 
 scale_x_continuous（at = seq（5,125，by = 5），limits = c（0,30））#set plotting window 
  

Before presenting the actual data, I would like to make a plot identical to the one with data but then without the data points in there. This helps me in explaining how to interpret such a plot without distracting the audience with the actual data that will be in the plot.

So in the code below I would basically want to exchange the geom_point() with geom_blank(). No problem.

However, this also removes the color and size information from the legends that the plot code creates. Is there a way to get this back?

ggplot(vas, aes(x=time, y=pain, colour=light.color, size=light.intensity)) + 
  #geom_point(na.rm=FALSE) +
  geom_blank() + 
  facet_wrap(~ppno) +
  scale_colour_manual(values=cols) +
  scale_y_continuous(name="VAS Pain (a.u.)") +
  scale_x_continuous(name="Time (minutes)")

What is proper way to get the color indications back into the legend(s). Now they only display the value(s) of the various levels of a certain parameter (colour or size) but not the actual graphical element (a color or a size of a dot) that goes with a certain level.

解决方案

How about hiding the actual points outside the plotting window? Something along these lines:

ggplot(cars, aes(x=speed+100, y=dist))+ #move x values to the right
  geom_point(aes(col=speed))+
  scale_x_continuous(at=seq(5,125,by=5), limits=c(0,30)) #set plotting window

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