在图例中为多个图层显示适当的颜色 [英] Displaying proper colors in legend for multiple layers

问题描述

我是一个绝对的初学者，从我开始使用 ggplot2 大约2-3天。到目前为止，我一直使用Excel来绘制图形。 ggplot2真的让我失望，所以我想在这里发布我的查询。

昨天晚上，我讨论了如何绘制 geom_smooth（） code>与另一层，比如 geom_point（）这里讨论：它se EMS我可以手动覆盖颜色。

正如我们所看到的，第三层仍然覆盖第二层的颜色（在图例中）。

  ggplot（mpg，aes（displ，hwy））+ 
 geom_point （aes（color = class））+ 
 geom_smooth（method =loess，se = FALSE，color =123，aes（linetype =loes））+ 
 geom_smooth（method = lm，se = FALSE，color =345，aes（linetype =lm，color =green））+ 
 scale_colour_manual（values = c（coral，chocolate，cornsilk ，papayawhip，blanchedalmond，red，black，yellow，pink））+ 
 labs（color =Method）
  

第三层仍然覆盖第二层的颜色（在图例中）。我会很感激你的帮助。

我有两个问题：

问题1：我上面发布的问题？我会很感激任何想法。有没有解决这个问题？

问题2：我注意到有时候人们会用 aes（linetype =lm ）和其他时候，他们只需在 geom_smooth（）中使用（linetype =lm） 。我们为什么要做这个？我相信如果我们使用 aes（..）这里我没有明确的假设，所以我会避免猜测。我会很感激你的想法。

---

更新：我的问题是关于发布的解决方案。 b

散点图不能使用任何其他形状吗？发布的解决方案建议将形状更改为size = 21，这是我有点不舒服。

我更改了其他形状的代码（在下面的解决方案中），如下所示：

  huron < -  data.frame（year = 1875：1972，level = as.numeric（LakeHuron））
 ggplot（mpg，aes（displ，hwy））+ 
＃将geom_point类映射到'fill'
 geom_point（shape = 5，aes（color = class））+ 
＃颜色和线型geom_smooth 
 geom_smooth（method =loess，se = FALSE，
 aes（linetype =loess，color ='loess'））+ 
 geom_smooth（method = lm，se = FALSE，
 aes（linetype =lm，color =lm））+ 
＃通过赋予它们相同的名称来合并线型和颜色图例
 scale_linetype_discrete（name =Method）+ 
 scale_color_manual（name =Method，values = c（red，black，coral，chocolate，cornsilk，papayawhip，blanchedalmond 红，黑））
  

但是，运行此代码后，我们将看到lm和黄土的颜色已重置为蓝色散点图的传说不再是固体类型。我能够改变形状，但不是颜色问题和图例问题。任何想法？

解决方案

使用 fill 和geom_point的空心形状，并为geom_smooth使用 color 。 b

  huron < -  data.frame（year = 1875：1972，level = as.numeric（Lake Huuron））
 ggplot（mpg，aes ）
＃将geom_point类映射到'fill'
 geom_point（shape = 21，aes（fill = class），color = NA）+ 
＃使用color和linetype geom_smooth 
 geom_smooth（method =loess，se = FALSE，
 aes（linetype =loess，color ='loess'））+ 
 geom_smooth（method =lm，se = FALSE，
 aes（linetype =lm，color =lm））+ 
＃通过赋予它们相同的名称来合并线型和颜色图例
 scale_linetype_discrete（name =Method ）+ 
 scale_color_manual（name =Method，valu es = c（'red'，'black'））
  

然而，我还要指出，如果您想要使用颜色信息来区分点，那么流畅线条的不同颜色会让人分心。类。我认为留下这两条流畅的线条会更好 - 线型足以区分它们

I am an absolute beginner and it's been about 2-3 days since I have started using ggplot2. So far, I have always used Excel for graphs. ggplot2 is really killing me, so I thought of posting my query here.

Last night, I discussed how we can plot geom_smooth() with another layer, say geom_point() This is discussed here: Scale for aesthetics used in the plot | ggplot2

In continuation to this, I thought of trying out multiple geom_smooth().

Here's what I did:

   ggplot(mpg, aes(displ, hwy)) +
     geom_point(aes(color = class)) +
     geom_smooth(method = "loess", se = FALSE, color = "black", aes(linetype = "loes")) +
     geom_smooth( method = "lm", se = FALSE, color = "red", aes(linetype = "lm",color = "green")) +
     labs(colour = "Method")

It's similar code to the previous one except that I have added another geom_smooth().

The output is:

I also looked at Format legend for multiple layers ggplot2 It seems I could manually override colors.

As we can see, the third layer still overrides the colors of the second layer (in the legend).

So, here's what I did:

   ggplot(mpg, aes(displ, hwy)) +
     geom_point(aes(color = class)) +
     geom_smooth(method = "loess", se = FALSE, color = "123", aes(linetype = "loes")) +
     geom_smooth( method = "lm", se = FALSE, color = "345", aes(linetype = "lm",color = "green")) +
    scale_colour_manual(values=c("coral", "chocolate", "cornsilk", "papayawhip", "blanchedalmond","red","black","yellow","pink")) +
     labs(colour = "Method") 

The third layer still overrides the colors of the second layer (in the legend). I'd appreciate your help.

I have two questions:

Question 1: Is there any fix for the questions I have posted above? I'd appreciate any thoughts. Is there any fix for this? I'd appreciate any thoughts.

Question 2: I noticed that sometimes people use aes(linetype = "lm") and other times they simply use (linetype = "lm") inside geom_smooth(). Why do we do this? I believe if we use aes(..) I don't have a clear hypothesis here, so I would avoid speculating. I'd appreciate your thoughts.

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Update: My question is about the posted solution.

Can we not use any other shape for scatter plot ? The posted solution recommends changing the shape to size = 21, which is something I am a little uncomfortable.

I changed the code (in solution below) for other shape as below:

 huron <- data.frame(year = 1875:1972, level = as.numeric(LakeHuron))
   ggplot(mpg, aes(displ, hwy)) +
     # map geom_point class to 'fill'
     geom_point(shape=5, aes(color = class)) +
     # use color and linetype for geom_smooth
     geom_smooth(method = "loess", se = FALSE,
                 aes(linetype = "loess", color = 'loess')) +
     geom_smooth(method = "lm", se = FALSE, 
                 aes(linetype = "lm", color = "lm")) +
     # merge linetype and color legends by giving them the same name
     scale_linetype_discrete(name = "Method") +   
     scale_color_manual(name = "Method", values = c("red", "black","coral", "chocolate", "cornsilk", "papayawhip", "blanchedalmond","red","black"))

However, after running this code, we will see that the color for lm and loess has got reset to blue and legend for scatter plot is no more solid-type. I was able to change the shape, but not the color issue and legend issue. Any thoughts?

解决方案

Use fill and a hollow shape for geom_point, and color for geom_smooth.

huron <- data.frame(year = 1875:1972, level = as.numeric(LakeHuron))
ggplot(mpg, aes(displ, hwy)) +
  # map geom_point class to 'fill'
  geom_point(shape=21, aes(fill = class), color = NA) +
  # use color and linetype for geom_smooth
  geom_smooth(method = "loess", se = FALSE,
              aes(linetype = "loess", color = 'loess')) +
  geom_smooth(method = "lm", se = FALSE, 
              aes(linetype = "lm", color = "lm")) +
  # merge linetype and color legends by giving them the same name
  scale_linetype_discrete(name = "Method") +   
  scale_color_manual(name = "Method", values = c('red', 'black'))

However, I would also point out that the different colors for the smooth lines is sort of distracting, if you want color information to serve to differentiate the point classes. I think it would be better to leave both smooth lines black -- linetype is enough to distinguish them

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