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我在饼图中绘制了 R 中的 data.frame。这是代码

library(plotrix)
piepercent<- round(100*cause_wise$suicides/sum(cause_wise$suicides), 1)
png(file = "plots/cause suicide.png")
pie3D(cause_wise$suicides,labels = piepercent,explode = 0.1, 
  main = "Suicide by Gender(in percentages)")
#legend("topright", cause, cex = 0.8, fill = rainbow(length(cause)))
dev.off()

我试图在这里绘制的 data.frame 有 38 个值,我想省略那些对piepercent大区域没有显着贡献的值,比如小于 2%。有没有办法我可以做到这一点?

图表如下所示:

饼形图

4

1 回答 1

1

将小于阈值的集合归为一类,然后绘制:

library(plotrix)
library(dplyr)

# dummy data
cause_wise <- data.frame(suicides = c(2, 3, 1, 50, 1, 50, 45))

# sum values where percentage is less than 2%
plotDat <- cause_wise %>% 
  mutate(grp = ifelse(suicides/sum(suicides) < 0.02, "tooSmall", row_number())) %>% 
  group_by(grp) %>% 
  summarise(suicides = sum(suicides)) %>% 
  select(-grp) %>% 
  ungroup()

# set label and color(grey for <2%)
piepercent <- round(100 * plotDat$suicides/sum(plotDat$suicides), 1)
piecol <- c(rainbow(length(piepercent) - 1 ), "grey")

# why oh why 3D pie chart...
pie3D(plotDat$suicides,
      labels = piepercent, 
      explode = 0.1,
      col = piecol,
      main = "Suicide by Gender (in percentages)")

在此处输入图像描述

于 2017-10-04T20:14:03.817 回答