ggplot2：更改图例中的符号 [英] ggplot2: Making changes to symbols in the legend

问题描述

我遇到了一个问题，使得我的情节图例中的符号与情节本身中的符号相匹配。

假设数据有四列这样的数据

  data = data .frame（x = sample（1:10，10，replace = TRUE），y = sample（1:10，10，replace = TRUE），
 Rank = sample（1:10，10，replace = TRUE ），量化=因子（样本（1：2,10，替换= TRUE））
）
  

我希望积分是不同的尺寸（以'Rank'来区分），并用不同的符号（十字和空心圆，以'量化'来区分）代表。

我的代码是

  ggplot（data，aes（x = x，y = y））+ 
 geom_point（aes（size = Rank，shape = Quantified））+ 
 scale_shape_manual（Quantified，labels = c（Yes，No = c（1,4）
）
  

图中的符号是我想要的他们。

我的问题是，我希望顶部图例中的圆圈像中的未填充一样。

我已经在代码的不同部分尝试了各种命令（例如fill =white），但没有任何东西可以正常工作。

有什么建议吗？

解决方案

现在我确定它就是您想要的：

<$ （尺寸）
ggplot（数据，aes（x = x，y = y））+
geom_point（aes（size = Rank，shape = Quantified） ）+
scale_shape_manual（Quantified，labels = c（Yes，No），values = c（1,4））+
guides（size = guide_legend（override.aes = list （shape = 1）））

I'm having a problem making the symbols in the legend of my plot match those in the plot itself.

Suppose the data has four columns like this

data = data.frame(x = sample(1:10, 10, replace=TRUE), y = sample(1:10, 10, replace=TRUE), 
           Rank = sample(1:10, 10, replace = TRUE), Quantified = factor(sample(1:2, 10, replace = TRUE))
)

I would like points to be different sizes (distinguished by 'Rank') and represented by different symbols (crosses and open circles, distinguished by 'Quantified').

My code is

ggplot(data, aes(x = x, y = y)) +
          geom_point(aes(size = Rank, shape = Quantified)) +
          scale_shape_manual("Quantified", labels = c("Yes", "No"), values = c(1, 4)
 )

The symbols in the plot are as I want them.

My problem is that I would like the circles in the top legend to be unfilled as they are in the plot.

I've tried a variety of commands in different parts of the code (e.g., fill = "white") but nothing seems to work quite right.

Any suggestions?

解决方案

Now that I'm sure it's what you want:

library(scales)
ggplot(data, aes(x = x, y = y)) +
          geom_point(aes(size = Rank, shape = Quantified)) +
          scale_shape_manual("Quantified", labels = c("Yes", "No"), values = c(1, 4)) + 
          guides(size = guide_legend(override.aes = list(shape = 1)))

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