r - 雷达图上的误差线？

Question

我正在寻找为多变量数据制作雷达图，这项任务对于 excel 来说足够简单。

当我还想在上面绘制一些错误栏时，问题就来了。据我了解，我不能在excel中做到这一点。这可能在R上吗？

或者有人可以提出替代方案吗？我有 32 个单值维度。

谢谢!

Answer 1

我不太喜欢雷达图，但这里有一些想法可以帮助您前进，请引用 this approach .我最喜欢选项 1 的外观，但我不确定如何解决 var32 和 var1 之间的差距(我有一些想法，但有点尴尬)。

library(tidyverse)
library(ggplot2)
library(scales)

# make some mock data
mydata <- data.frame(variable = paste0("Var", 1:32),
                     midpoint = rnorm(32),
                     stderr = rnorm(32, 1, 0.1),
                     stringsAsFactors = FALSE) %>%
  mutate(upper = midpoint + 1.96 * stderr,
         lower = midpoint - 1.96 * stderr) %>%
  mutate(variable = factor(variable, levels = variable)) 

# Option 1:
mydata %>%
  ggplot(aes(x = variable, y = midpoint, group = 1)) +
  geom_ribbon(aes(ymin = lower, ymax = upper), fill = "grey50", alpha = 0.5) +
  geom_line(colour = "purple") +
  theme_light() +
  theme(panel.grid.minor = element_blank()) + 
  coord_polar() +
  labs(x = "", y = "")

# Option 2:
mydata %>%
  gather(measure, value, -variable, -stderr) %>%
  ggplot(aes(x = variable, y = value, colour = measure, group = measure, linetype = measure)) +
  geom_polygon(fill = NA) +
  theme_light() +
  theme(panel.grid.minor = element_blank()) + 
  coord_polar() +
  scale_colour_manual(values = c("steelblue", "black", "steelblue")) +
  scale_linetype_manual(values = c(2,1,2)) +
  labs(x = "", y = "")

# Option 3:
mydata %>%
  ggplot(aes(x = variable, y = midpoint, group = 1)) +
  geom_polygon(fill = NA, colour = "purple") +
  geom_segment(aes(xend = variable, y = lower, yend = upper), colour = "grey50") +
  geom_point(colour = "purple") +
  theme_light() +
  theme(panel.grid.minor = element_blank()) + 
  theme(panel.grid.major.x = element_blank()) +
  coord_polar() +
  labs(x = "", y = "")

编辑/添加

我想我更喜欢这个:

# Option 4:
mydata %>%
  ggplot(aes(x = variable, y = midpoint, group = 1)) +
  geom_polygon(aes(y = upper), fill = "grey50", alpha = 0.5) +
  geom_polygon(aes(y = lower), fill = "grey99", alpha = 0.7) +
  geom_polygon(fill = NA, colour = "purple") +
  theme_light() +
  theme(panel.grid.minor = element_blank()) + 
  coord_polar() +
  labs(x = "", y = "")