使用组摘要值作为ggplot2中的geom_ribbon? [英] Use group summary values as geom_ribbon in ggplot2?

问题描述

我正在尝试按组绘制折线图，​​我想在此添加底纹底纹，覆盖类别的 min 和 max 值.我想复制这样的图，但是灰色阴影覆盖了虚线和实心黑线之间的所有内容(未显示置信区间):

I am trying to plot a line plot by groups, where I would like to add underling shading covering min and max values for categories. I would like to replicate plot like this, but grey shade covers all between the dashed and solid black lines (not showing confidence interval):

通常，这是使用 geom_ribbon 完成的，我需要为 aes(ymin = ymin，ymax = ymax)指定值.但是如何为组 c 和 a 的值传递 ymin 和 ymax 值(在我的示例中)?

Normally, this is done using geom_ribbon where I need to specify values for aes(ymin = ymin, ymax = ymax). But how to pass the ymin and ymax values for values of group c and a (in my example)?

这是我的虚拟示例:

# example for shaded line plot
dd <- data.frame(year = c(1:5),
                 group = rep(c("a", "b", "c"), each = 5),
                 vals = c(5, 5.2, 5.6, 5.8, 6,
                          5, 4.9, 4.8, 4.7, 4.2,
                          5, 4.8, 4.4, 4,   3))
dd %>% 
  ggplot(aes(x = year,
             y = vals,
             shape = group,     
             color = group,     
             linetype = group)) +
  ylim(0,6.5) +
  geom_line(lwd  = 1.5)  +
  theme_bw()

我的数据格式很长，并且我有很多组，所以我希望能使用一些自动解决方案.预先谢谢你.

My data are in long format and I have many groups, so I would appreciate some automatic solution. Thank you in advance.

我的方法:

将数据从长格式转换为宽格式，以argumens作为 ymin 和 ymax 传递.无法使用两个不同的数据框:

convert data from long to wide format to pass argumens as ymin and ymax. Not working as using two different dataframes:

# maybe first convert data from long to wide?
library(tidyr)

dd.spread <- spread(dd, group, vals)

dd %>% 
  ggplot(aes(x = year,
             y = vals,
             shape = group,     
             color = group,     
             linetype = group)) +
  geom_line()  +
  geom_ribbon(dd.spread, aes(ymin = c, ymax = a), color = "grey70")

预期结果(在a-c之间阴影)

Expected outcome (shaded between a-c):

推荐答案

您可以在层的 data 参数中放置一个偷偷摸摸的 pivot_wider .在下面的示例中，我将一些美感从主绘图调用迁移到了线层，因为它们在功能区中相互冲突.

You can put in a sneaky pivot_wider at the data argument of a layer. In the example below I migrated some aesthetics from the main plot call to the line layer, as they were conflicting in the ribbon layer.

library(ggplot2)
library(tidyr)
#> Warning: package 'tidyr' was built under R version 4.0.3

# example for shaded line plot
dd <- data.frame(year = c(1:5),
                 group = rep(c("a", "b", "c"), each = 5),
                 vals = c(5, 5.2, 5.6, 5.8, 6,
                          5, 4.9, 4.8, 4.7, 4.2,
                          5, 4.8, 4.4, 4,   3))
dd %>% 
  ggplot(aes(x = year)) +
  ylim(0,6.5) +
  geom_ribbon(
    data = ~ pivot_wider(., names_from = group, values_from = vals),
    aes(ymin = c, ymax = a)
  ) +
  geom_line(aes(y = vals,
                color = group,     
                linetype = group),
            lwd  = 1.5)  +
  theme_bw()

^{由 reprex软件包(v1.0.0)创建于2021-04-19 sup>}

^{Created on 2021-04-19 by the reprex package (v1.0.0)}

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