帶有資料點的ggplot箱線圖：如何控制圖例的外觀？

我嘗試了各種選項，但我找不到實作自定義圖例外觀的方法（除非我將圖形匯出到 power point 并在那里編輯它......）。我希望圖例如下圖所示，并想知道這是否可能：

我不希望對圖形本身進行任何更改：

這是我的示例資料和代碼：

df = data.frame(sex = c(1,1,1,1,1, 2,2,2,2,2),
                age_cat = c(1,1,1, 2,2,2,  1,1,1, 2),
                score_type = c(1,2, 1,2, 1,2, 1,2, 1,2),
                score = c(25,28,18,20,30, 37,40,35,43,45))


df$sex <- factor((df$sex))
df$age_cat <- factor((df$age_cat))
df$score_type <- factor((df$score_type))

windows(width=7, height=7)

library(ggplot2)

df %>%
  ggplot( aes(x=score_type, y=score))  
  geom_boxplot(aes(color=sex),outlier.shape = NA, size=1.5, show.legend=T)  
  geom_point(aes(color=sex, shape = age_cat, group = sex),
             position=position_jitterdodge(dodge.width=0.9), size=3, show.legend=F)  
  scale_color_manual(values=c("#0072B2", "#CC79A7"), name="",
                     labels=c("Male", "Female"))  
  scale_shape_manual(name="", labels=c('Younger', 'Older'),
                     values=c(16, 17))  
  theme_bw() 
  theme(panel.border = element_blank(), axis.ticks = element_blank(),
        legend.position=c(0.9, 0.65), legend.text=element_text(size=11),
        legend.title=element_text(size=11.5),
        panel.grid.major.x = element_blank() ,
        plot.title = element_text(size=11, face = "bold"),
        axis.title=element_text(size=13),
        axis.text.y = element_text(size=11),
        axis.text.x = element_text(size=11),
        plot.margin = unit(c(0.5,0.2,0,0.2), "cm"))  
  labs(title= "", x = "",y = "Score")  
  scale_y_continuous(breaks=c(0, 20, 40, 60, 80, 100),
                     labels=c('0', '20', '40', '60', '80', '100'))  
  expand_limits(x=5, y=70)  
  scale_x_discrete(labels = c("A", "B"))   
  coord_cartesian(clip = "off")

uj5u.com熱心網友回復：

您可以通過以下方式達到您想要的結果

1. show.legend=FALSE從下降geom_point
2. 使用覆寫圖例中顯示的形狀 guides(shape = guide_legend(override.aes = list(shape = c(1, 2))))

library(ggplot2)

ggplot(df, aes(x = score_type, y = score))  
  geom_boxplot(aes(color = sex), outlier.shape = NA, size = 1.5)  
  geom_point(aes(color = sex, shape = age_cat, group = sex),
    position = position_jitterdodge(dodge.width = 0.9), size = 3
  )  
  scale_color_manual(
    values = c("#0072B2", "#CC79A7"), name = "",
    labels = c("Male", "Female")
  )  
  scale_shape_manual(
    name = "", labels = c("Younger", "Older"),
    values = c(16, 17)
  )  
  theme_bw()  
  theme(
    panel.border = element_blank(), axis.ticks = element_blank(),
    legend.position = c(0.9, 0.65), legend.text = element_text(size = 11),
    legend.title = element_text(size = 11.5),
    panel.grid.major.x = element_blank(),
    plot.title = element_text(size = 11, face = "bold"),
    axis.title = element_text(size = 13),
    axis.text.y = element_text(size = 11),
    axis.text.x = element_text(size = 11),
    plot.margin = unit(c(0.5, 0.2, 0, 0.2), "cm")
  )  
  labs(title = "", x = "", y = "Score")  
  scale_y_continuous(
    breaks = c(0, 20, 40, 60, 80, 100),
    labels = c("0", "20", "40", "60", "80", "100")
  )  
  expand_limits(x = 5, y = 70)  
  scale_x_discrete(labels = c("A", "B"))  
  coord_cartesian(clip = "off")  
  guides(shape = guide_legend(override.aes = list(shape = c(1, 2))))

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