r - 分层/多级饼图

Question

有没有办法在 R 中创建这样的图表？



以下是图表中显示的数据的摘录:

df <- structure(list(Animal = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 1L, 1L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L), .Label = c("Buffalo", 
"Goat", "Sheep"), class = "factor"), Texture = structure(c(4L, 
4L, 4L, 4L, 4L, 3L, 3L, 3L, 2L, 1L, 1L, 4L, 3L, 4L, 2L, 2L, 2L, 
2L, 1L, 1L, 1L, 1L), .Label = c("Hard", "Semi-Hard", "Semi-Soft", 
"Soft"), class = "factor"), Name = structure(c(16L, 9L, 3L, 21L, 
5L, 4L, 10L, 2L, 12L, 11L, 8L, 14L, 1L, 7L, 22L, 15L, 6L, 20L, 
18L, 17L, 19L, 13L), .Label = c("Buffalo Blue", "Charolais", 
"Chevre Bucheron", "Clochette", "Crottin de Chavignol", "Feta", 
"Fleur du Maquis", "Garrotxa", "Golden Cross", "Humboldt Fog", 
"Idaho Goatster", "Majorero", "Manchego", "Mozzarella di Bufala Campana", 
"Ossau-Iraty", "Pantysgawn", "Pecorino Romano", "Pecorino Sardo", 
"Roncal", "Roquefort", "Sainte-Maure de Touraine", "Yorkshire Blue"
), class = "factor")), .Names = c("Animal", "Texture", "Name"
), class = "data.frame", row.names = c(NA, -22L))

Answer 1

那个图太棒了
好吧，在我开始有点疯狂之前，我已经走了这么远。简而言之，有一种快速的非 ggplot2 方式(它几乎可以给你你想要的东西)和一个长的 ggplot2 方式(它几乎可以给你你想要的东西)。快速方法(使用 df 作为上面的示例数据给出):

devtools::install_github("timelyportfolio/sunburstR")
library(sunburstR)
df1 <- df %>% 
  group_by(Animal) %>% 
  unite(col=Type, Animal:Name, sep = "-", remove=T)

df1$Type <- gsub(" ", "", df1$Type)
df1$Index <- 1
sunburst(df1)

这为您提供了一个很棒的小交互式图像(这里不是交互式的，只是一个快照):



ggplot2 方法很棘手，我还没有想出如何在图像上正确注释，但也许有人可以在此代码上构建并这样做。

df1 <- df %>% 
  mutate(Colour = ifelse(.$Animal == "Goat", "#CD9B1D", ifelse(.$Animal == "Sheep", "#EEC900", "#FFD700"))) %>% 
  mutate(Index = 1) %>% 
  group_by(Animal)

共有三层:

First <- ggplot(df1) + geom_bar(aes(x=1, y=Animal, fill=Animal, 
         label = Animal), position='stack', stat='identity', size=0.15) 
       + theme(panel.grid = element_blank(), axis.title=element_blank(), 
         legend.position="none", axis.ticks=element_blank(), 
         axis.text = element_blank())

Second <- First 
        + geom_bar(data=df1, aes(x=2, y=Animal, fill=Texture, group=Animal),
          position='stack', stat='identity', size=0.15, colour = "black") 
        + scale_color_brewer(palette = "YlOrBr")
        + scale_fill_brewer(palette = "YlOrBr") 
        + theme(axis.title=element_blank(), legend.position="none",    
          axis.ticks=element_blank(), axis.text = element_blank())

Third <- Second + geom_bar(data=df1, aes(x=3, y=Animal, fill=Name), 
         position='stack', stat='identity', size=0.15, colour = "black") 
       + scale_fill_manual(values = c("#EEC900", "#FFD700", "#CD9B1D",
         "#FFD700", "#DAA520", "#EEB422", "#FFC125", "#8B6914", "#EEC591", 
         "#FFF8DC", "#EEDFCC", "#FFFAF0", "#EEC900", "#FFD700", "#CDAD00", 
         "#FFF68F", "#FFEC8B", "#FAFAD2", "#FFFFE0", "#CD853F", "#EED8AE", 
         "#F5DEB3", "#FFFFFF", "#FFFACD", "#D9D9D9", "#EE7600", "#FF7F00",
         "#FFB90F", "#FFFFFF")) 
        + theme(axis.title=element_blank(), legend.position="none",
          axis.ticks=element_blank(), axis.text.y = element_blank(), 
          panel.background = element_rect(fill = "black"))

Third + coord_polar('y')

这给了我们:



嗯，这和我得到的一样接近。向任何可以在 R 中重新创建该图的人致敬!!