我有一个像这样的填充条形图
library(dplyr)
library(ggplot2)
df <- data.frame(facet=c(rep(1,6),rep(2,6)),type=rep(c('a','b','c'),2), subtype=c('x','y'), value=c(10,20,30,10,50,70))
df %>% group_by(type, facet) %>%
mutate(pct=value/sum(value)) %>%
mutate(pos=cumsum(pct) - (0.5 * pct)) %>%
ggplot(aes(type, pct, fill=subtype)) + geom_bar(stat='identity') +
geom_text(aes(label=paste0(round(100*pct, 0), '%'),y=pos)) + facet_grid(.~facet, margins=TRUE)
如果没有在整像中显示总数,则可行。但是由于用于显示%data标签的方法(我想知道是否有更好的方法),总方面会搞砸。任何建议?感谢。
答案 0 :(得分:5)
我正确安排了标签并事先定义了边距图。我猜这是你期望的输出。我无法弄清楚是否有办法通过facet_grid(., margin = TRUE)
来实现这一目标。
df <- data.frame(facet=c(rep(1,6),rep(2,6)),type=rep(c('a','b','c'),2),
subtype=c('x','y'), value=runif(12, 0, 100))
df1 <- df %>%
arrange(desc(subtype)) %>%
mutate(facet = factor(facet, levels = c("1", "2", "(all)"))) %>%
group_by(type, facet) %>%
mutate(pct=value/sum(value),
pos=cumsum(pct) - (0.5 * pct))
df2 <- df1 %>%
group_by(type, subtype) %>%
summarise(facet = factor("(all)", levels = c("1", "2", "(all)")),
pct = sum(pct)/2,
pos = sum(pos/2))
bind_rows(df1, df2) %>%
ggplot(aes(type, pct, fill=subtype)) +
geom_bar(stat='identity', position = "stack") +
geom_text(aes(label=paste0(round(100*pct, 0), '%'),y=pos)) +
facet_grid(.~facet)