如何在条形图中的误差条和条形之间进行颜色叠加？

如何解决如何在条形图中的误差条和条形之间进行颜色叠加？

我有一个带有误差条的条形图，我想为条形图和误差条使用相同的颜色。但是，这意味着我看不到误差条的底部。

library(ggplot2)
library(tibble)

my_df <- 
  tibble::tribble(~response,~estimate,~lower_ci,~upper_ci,"little_bit",0.353477,0.255625,0.451747,"no",0.307639,0.250436,0.375393,"very",0.338883,0.301007,0.37572310)

## compare this:
ggplot(my_df,aes(x = reorder(response,-estimate),y = estimate)) +
  geom_bar(stat = "identity",width = 0.9,fill = "#6EB3FF") +
  geom_errorbar(aes(ymin = lower_ci,ymax = upper_ci),width = 0.1,size = 3.5)

## with this:
ggplot(my_df,size = 3.5,color = "#6EB3FF")

---

我的视觉想法是使用叠加

有没有办法使用 ggplot 实现这种叠加？

解决方法

一个简单的 alpha 就可以了。

请注意，技术上有不同的颜色。另一种选择是使用颜色修改包，例如 shades 或 colorspaces。请参阅下面带有 colorspaces 的一个选项。当您想更改整个调色板时，shades 很酷。

library(ggplot2)
library(tibble)

my_df <- 
  tibble::tribble(~response,~estimate,~lower_ci,~upper_ci,"little_bit",0.353477,0.255625,0.451747,"no",0.307639,0.250436,0.375393,"very",0.338883,0.301007,0.37572310)

# super easy,just make the bars mor transparent - not quite your desired look
ggplot(my_df,aes(x = reorder(response,-estimate),y = estimate)) +
  geom_bar(stat = "identity",width = 0.9,fill = "#6EB3FF",alpha  = 0.7) +
  geom_errorbar(aes(ymin = lower_ci,ymax = upper_ci),width = 0.1,size = 3.5,color = "#6EB3FF")

## darkening the color,and adding some alpha for your desired effect
ggplot(my_df,fill = "#6EB3FF") +
  geom_errorbar(aes(ymin = lower_ci,color = colorspace::darken("#6EB3FF"),alpha  = 0.7)

,

也许，您应该再次用稍微深一点的颜色绘制误差线的下半部分。

ggplot(my_df,color = "#6EB3FF") + 
  geom_errorbar(aes(ymin = lower_ci,ymax = estimate-0.004),color="#3ba8ff")