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我想在背景着色特定区域中绘制一个带有三个多边形的散点图。它应该看起来像这样。该代码在 y 轴上有 4 个变量时可以正常工作，但是当我添加第五个变量时会抛出错误。我想不出原因。

错误：

错误：美学必须是长度1或与数据相同（5）：x，y

可重现的代码：

library(dplyr)
library(ggplot2)

v1 <- c(1, 1, 1)
v2 <- c(1, 0, 0)
v3 <- c(1, 0, 1)
v4 <- c(0, 1, 1)
v5 <- c(1, 0, 1)

xG <- c(3, 3, 3, 3, 3)

input <- c(v1, v2, v3, v4, v5)
df <- data_frame(values = input, 
             module = c(rep("A", length(v1)), 
                        rep("B", length(v2)), 
                        rep("C", length(v3)), 
                        rep("D", length(v4)), 
                        rep("E", length(v5))))

perWorkField <- df %>%
  group_by(module) %>%
  summarise(sums = sum(values)) %>%
  mutate(percent = round((sums / xG) * 100, 2))

ggplot(data = perWorkField) + 
  geom_point(mapping = aes(x = percent, y = module)) + xlim(c(0, 100)) + 
  geom_polygon(aes(x = c(0, 30, 30, 0), y = c(0.5, 0.5, 5.5, 5.5)), 
           fill="#F5817A", 
           color = NA) +
  geom_polygon(aes(x = c(30, 75, 75, 30), y = c(0.5, 0.5, 5.5, 5.5)), 
           fill="#FFFF0044", 
           color = NA) +
  geom_polygon(aes(x = c(75, 100, 100, 75), y = c(0.5, 0.5, 5.5, 5.5)), 
           fill="#00FF0044", 
           color = NA) + 
  geom_point(mapping = aes(x = percent, y = module), shape = 20, size = 5) + theme_classic()

我很感激任何建议。提前致谢！

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2 回答 2

2

您可以尝试使其正常工作，我替换了 data 参数以使其正常工作

ggplot() + 
  geom_point(data = perWorkField, mapping = aes(x = percent, y = module)) + xlim(c(0, 100)) + 
  geom_polygon(aes(x = c(0, 30, 30, 0), y = c(0.5, 0.5, 5.5, 5.5)), 
               fill="#F5817A", 
               color = NA) +
  geom_polygon(aes(x = c(30, 75, 75, 30), y = c(0.5, 0.5, 5.5, 5.5)), 
               fill="#FFFF0044", 
               color = NA) +
  geom_polygon(aes(x = c(75, 100, 100, 75), y = c(0.5, 0.5, 5.5, 5.5)), 
               fill="#00FF0044", 
               color = NA) + 
  geom_point(data = perWorkField, mapping = aes(x = percent, y = module), shape = 20, size = 5) + theme_classic()
于 2017-09-14T07:38:06.077 回答
1

由于您正在创建矩形阴影区域，geom_rect()因此可能比geom_polygon().

此外，annotate()可用于避免从数据框中继承美学的问题：

ggplot(data = perWorkField) + 
  geom_point(aes(x = percent, y = module)) +
  annotate("rect", xmin =  0, xmax =  30, ymin = 0.5, ymax = 5.5, fill = "#F5817A", color = NA) +
  annotate("rect", xmin = 30, xmax =  75, ymin = 0.5, ymax = 5.5, fill = "#FFFF0044", color = NA) +
  annotate("rect", xmin = 75, xmax = 100, ymin = 0.5, ymax = 5.5, fill = "#00FF0044", color = NA) +
  geom_point(aes(x = percent, y = module), shape = 20, size = 5) +
  theme_classic()
于 2017-09-14T08:14:09.437 回答