在 ggplot2 boxplot 中添加每组的观察数
Add number of observations per group in ggplot2 boxplot
根据这个问题:How to add a number of observations per group and use group mean in ggplot2 boxplot?,我也想在 ggplot boxplot 中添加每组的观察数。但是我在 aes 映射中添加了一种颜色。
现有答案显示了如何调整文本在 y 轴上的位置。如何调整文本在 x 轴上的位置?
这是重现我的问题的最小示例:
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。
您可以只使用 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
position_dodge()
的width
参数控制横轴的定位。 0.75 是最佳点,看看它如何适用于不同数量的分组:
p2 <- ggplot(mtcars, aes(factor(vs), mpg, colour = factor(cyl))) +
geom_boxplot() +
stat_summary(fun.data = give.n, geom = "text", fun.y = median,
position = position_dodge(width = 0.75))
p2
您可以使用 geom_text 而不是 stat_summary。请参考以下问题:ggplot2 add text on top of boxplots.
这是一个关于如何使用观察次数的示例:
# 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))
根据这个问题:How to add a number of observations per group and use group mean in ggplot2 boxplot?,我也想在 ggplot boxplot 中添加每组的观察数。但是我在 aes 映射中添加了一种颜色。
现有答案显示了如何调整文本在 y 轴上的位置。如何调整文本在 x 轴上的位置?
这是重现我的问题的最小示例:
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。
您可以只使用 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
position_dodge()
的width
参数控制横轴的定位。 0.75 是最佳点,看看它如何适用于不同数量的分组:
p2 <- ggplot(mtcars, aes(factor(vs), mpg, colour = factor(cyl))) +
geom_boxplot() +
stat_summary(fun.data = give.n, geom = "text", fun.y = median,
position = position_dodge(width = 0.75))
p2
您可以使用 geom_text 而不是 stat_summary。请参考以下问题:ggplot2 add text on top of boxplots.
这是一个关于如何使用观察次数的示例:
# 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))