在散点饼图中的每个饼图中添加饼比例的百分比

Adding percents for pie proportions in each piechart in scatterpie plot

我有一个散点图,我想为图中的每个饼图添加对应于饼图比例的百分比。

此问题是我发布的先前问题的后续问题

我的数据

library(tidyverse)
library(scatterpie)

my_df <- structure(list(day_in_july = 13:20, yes_and_yes = c(0.611814345991561, 
0.574750830564784, 0.593323216995448, 0.610539845758355, 0.650602409638554, 
0.57429718875502, 0.575971731448763, 0.545454545454545), yes_but_no = c(0.388185654008439, 
0.425249169435216, 0.406676783004552, 0.389460154241645, 0.349397590361446, 
0.42570281124498, 0.424028268551237, 0.454545454545455), y = c(0.388185654008439, 
0.425249169435216, 0.406676783004552, 0.389460154241645, 0.349397590361446, 
0.42570281124498, 0.424028268551237, 0.454545454545455)), row.names = c(NA, 
-8L), class = c("tbl_df", "tbl", "data.frame"))


> my_df

## # A tibble: 8 x 4
##   day_in_july yes_and_yes yes_but_no     y
##         <int>       <dbl>      <dbl> <dbl>
## 1          13       0.612      0.388 0.388
## 2          14       0.575      0.425 0.425
## 3          15       0.593      0.407 0.407
## 4          16       0.611      0.389 0.389
## 5          17       0.651      0.349 0.349
## 6          18       0.574      0.426 0.426
## 7          19       0.576      0.424 0.424
## 8          20       0.545      0.455 0.455

绘制散点图

xvals <- my_df$day_in_july

ggplot(data = my_df) +
  geom_scatterpie(aes(x = day_in_july, y = y*20, r = 0.25), 
                  data = my_df, 
                  cols = colnames(my_df)[2:3],
                  color = "red") + 
  scale_fill_manual(values = c("pink", "seagreen3")) +
  scale_x_continuous(labels = xvals, breaks = xvals) +
  scale_y_continuous(name = "yes but no",
                     labels = function(x) x/20) + 
  coord_fixed()

这给出了这个情节:



如何为每个饼添加饼比例,比如下面的demo?

解决这个问题的一个提示是 scatterpie 基本上是一个循环箱线图,如 commented by the developer。但是,当我尝试实施条形图注释策略时,我意识到我不知道如何将其应用于 scatterpie.

您可以像这样使用 geom_text 添加标签。

ggplot(data = my_df) +
  geom_scatterpie(aes(x = day_in_july, y = y*20, r = 0.25), 
                  data = my_df, 
                  cols = colnames(my_df)[2:3],
                  color = "red") + 
  geom_text(aes(y = y*20, x = day_in_july, 
                label = paste0(formatC(y*100, digits = 3), "%")),
                nudge_y = 0.07, nudge_x = -0.25, size = 3) +
  geom_text(aes(y = y*20, x = day_in_july, 
                label = paste0(formatC((1-y)*100, digits = 3), "%")),
            nudge_y = 0.07, nudge_x = 0.25, size = 3) +
  scale_fill_manual(values = c("pink", "seagreen3")) +
  scale_x_continuous(labels = xvals, breaks = xvals) +
  scale_y_continuous(name = "yes but no",
                     labels = function(x) x/20) + 
  coord_fixed()

为 x 轴上的每个刻度线不同地对齐标签(就像在您的演示中一样)需要更多的修改。