R:ggplot 堆叠条形图,y 轴上有计数,但标签为百分比

R: ggplot stacked bar chart with counts on y axis but percentage as label

我正在寻找一种方法来用百分比标记堆叠条形图,同时 y 轴显示原始计数(使用 ggplot)。这是没有标签的情节的 MWE:

library(ggplot2)
df <- as.data.frame(matrix(nrow = 7, ncol= 3,
                       data = c("ID1", "ID2", "ID3", "ID4", "ID5", "ID6", "ID7",
                                "north", "north", "north", "north", "south", "south", "south",
                                "A", "B", "B", "C", "A", "A", "C"),
                      byrow = FALSE))

colnames(df) <- c("ID", "region", "species")

p <- ggplot(df, aes(x = region, fill = species))
p  + geom_bar()

我有一个更大的 table 并且 R 可以很好地计算每个地区的不同物种。现在,我想同时显示原始计数值(最好在 y 轴上)和百分比(作为标签)以比较区域之间的物种比例。

我使用 geom_text() 尝试了很多东西,但我认为与其他问题 (e.g. this one) 的主要区别在于

非常感谢任何帮助!!

如@Gregor 所述,分别汇总数据,然后将数据汇总提供给 ggplot。在下面的代码中,我们使用 dplyr 动态创建摘要:

library(dplyr)

ggplot(df %>% count(region, species) %>%    # Group by region and species, then count number in each group
         mutate(pct=n/sum(n),               # Calculate percent within each region
                ypos = cumsum(n) - 0.5*n),  # Calculate label positions
       aes(region, n, fill=species)) +
  geom_bar(stat="identity") +
  geom_text(aes(label=paste0(sprintf("%1.1f", pct*100),"%"), y=ypos))

更新:dplyr 0.5 及更高版本中,您不再需要提供 y 值来使每个栏中的文本居中。相反,您可以使用 position_stack(vjust=0.5):

ggplot(df %>% count(region, species) %>%    # Group by region and species, then count number in each group
         mutate(pct=n/sum(n)),              # Calculate percent within each region
       aes(region, n, fill=species)) +
  geom_bar(stat="identity") +
  geom_text(aes(label=paste0(sprintf("%1.1f", pct*100),"%")), 
            position=position_stack(vjust=0.5))

我同意约翰娜的观点。你可以试试:

d <- aggregate(.~region+species, df, length)
d$percent <- paste(round(ID/sum(ID)*100),'%',sep='')
ggplot(d, aes(region, ID, fill=species)) + geom_bar(stat='identity') + 
  geom_text(position='stack', aes(label=paste(round(ID/sum(ID)*100),'%',sep='')), vjust=5)