我们可以在一个 ggplot 图例中显示两个属性吗？

Question

阅读我发现的有关序数数据的图 this 图：

我发现这个图例是多余的，因为 10 的小频率，例如，总是一个小正方形和一个浅色正方形，等等。因此，我想创建一个带有这样图例的图（油漆解决方案）：

重现情节的代码

# DATA
importance <- rep(1:5, times = c(30, 42, 75, 93, 60))
often <- c(rep(1:5, times = c(15, 07, 04, 03, 01)), #n=30, importance 1
           rep(1:5, times = c(10, 14, 12, 03, 03)), #n=42, importance 2
           rep(1:5, times = c(12, 23, 20, 13, 07)), #n=75, importance 3
           rep(1:5, times = c(16, 14, 20, 30, 13)), #n=93, importance 4
           rep(1:5, times = c(12, 06, 11, 17, 14))) #n=60, importance 5
running.df <- data.frame(importance, often)
runningcounts.df <- as.data.frame(table(importance, often))

# PLOT
theme_nogrid <- function (base_size = 12, base_family = "") {
  theme_bw(base_size = base_size, base_family = base_family) %+replace% 
    theme(panel.grid = element_blank())   
}

ggplot(runningcounts.df, aes(importance, often)) +
  geom_point(aes(size = Freq, color = Freq, stat = "identity", position = "identity"), shape = 15) +
  scale_size_continuous(range = c(3,15)) + 
  scale_color_gradient(low = "white", high = "black") +
  theme_nogrid()

Answer 1

您可以尝试使用 guides，在您的代码中添加 guides(color = guide_legend(), size = guide_legend()) 行。

ggplot(runningcounts.df, aes(importance, often)) +
  geom_point(aes(size = Freq, color = Freq, stat = "identity", position = "identity"), shape = 15) +
  scale_size_continuous(range = c(3,15)) + 
  scale_color_gradient(low = "white", high = "black") +
  guides(color = guide_legend(), size = guide_legend()) +
  theme_nogrid()

Answer 2

如果您想要快速修复，这应该可行

# PLOT
theme_nogrid <- function (base_size = 12, base_family = "") {
  theme_bw(base_size = base_size, base_family = base_family) %+replace% 
    theme(panel.grid = element_blank())   
}

ggplot(runningcounts.df, aes(importance, often)) +
  geom_point(aes(size = Freq, color = Freq, stat = "identity", position = "identity"), shape = 15) +
  scale_size_continuous(range = c(3,15)) + 
  scale_color_gradient(low = "white", high = "black") +
  theme_nogrid()+
  guides( colour = guide_legend()) #added guides()

我们可以在一个 ggplot 图例中显示两个属性吗？

Can we display two attributes in one ggplot legend?

r

ggplot2

legend