关注这个问题:How to add a number of observations per group and use group mean in ggplot2 boxplot?,我想在ggplot boxplot中添加每组的观察次数。但我在aes映射中添加了一种颜色。
现有答案显示了如何在y轴上调整文本位置。如何在x轴上调整文本位置?
这是重现我的问题的最小例子:
library(ggplot2)
give.n <- function(x){
return(c(y = median(x)*1.05, label = length(x)))
# experiment with the multiplier to find the perfect position
}
p <- ggplot(mtcars, aes(factor(vs), mpg, colour = factor(am))) +
geom_boxplot() +
stat_summary(fun.data = give.n, geom = "text", fun.y = median)
p
感谢您的任何建议。
答案 0 :(得分:10)
您可以使用position
:
p <- ggplot(mtcars, aes(factor(vs), mpg, colour = factor(am))) +
geom_boxplot() +
stat_summary(fun.data = give.n, geom = "text", fun.y = median,
position = position_dodge(width = 0.75))
p
width
的{{1}}参数控制水平轴上的定位。 0.75是最佳点,看看它如何适用于不同数量的分组:
position_dodge()
答案 1 :(得分:3)
您可以使用geom_text代替stat_summary。请参阅以下问题:ggplot2 add text on top of boxplots。
这是一个如何用观察次数来做的例子:
# Create an aggregate of median & count
> cts <- merge(aggregate(mpg ~ cyl + am, mtcars, length),
aggregate(mpg ~ cyl + am, mtcars, median),
by=c("cyl", "am"))
# Rename the col names to fit with the original dataset..
> names(cts) <- c("cyl", "am", "count", "mpg")
# As alexwhan suggested, position_dodge helps with positioning
# along the x-axis..
> ggplot(mtcars, aes(factor(cyl), mpg, colour = factor(am))) +
geom_boxplot(position = position_dodge(width=1.0)) +
geom_text(data = cts, aes(label=count),
position=position_dodge(width=1.0))