如何使用ggplot2将标准误差线添加到箱形图和晶须图中?

问题描述

我正在尝试向我的数据添加标准误差线，类似于在该问题答案的结尾附近的方框图中看到的误差线:

I'm trying to add standard error bars to my data similar to the ones seen on the box plots near the end of the answer on this question: https://stats.stackexchange.com/questions/8137/how-to-add-horizontal-lines-to-ggplot2-boxplot

我正在使用PlantGrowth数据集，它看起来像这样(除了总共30行长):

I am using the PlantGrowth dataset, which looks like this (except 30 rows long in total):

    weight    group
1   4.17      ctrl
2   5.58      ctrl
3   4.81      trt1
4   4.17      trt1
5   6.31      trt2
6   5.12      trt2

我制作了这个情节

具有以下代码

 ggplot(PlantGrowth, aes(group, weight))+
stat_boxplot(geom='errorbar', linetype=1, width=0.5)+  #whiskers
geom_boxplot(outlier.shape=1)+
stat_summary(fun.y=mean, geom="point", size=2)   #dot for the mean

我不知道如何根据该因子变量中的变化为每个图添加误差线.我添加了 + geom_errorbar(aes(x = group，ymin = mean-sd，ymax = mean + sd))，但它返回错误均值错误-sd:二进制非数值参数运算符"

I don't know how to add an error bar for each plot based on the variation within that factor variable. I have added +geom_errorbar(aes(x=group, ymin=mean-sd, ymax=mean+sd)) but it returns the error "Error in mean - sd : non-numeric argument to binary operator"

任何帮助将不胜感激.谢谢

Any help would be appreciated. Thank you

推荐答案

ggplot2中有一个 mean_se 函数，它可以完全满足您的需求.

There is a mean_se function in ggplot2 which does exactly what you want.

library(ggplot2)
ggplot(PlantGrowth, aes(group, weight))+
  stat_boxplot( aes(group, weight),
    geom='errorbar', linetype=1, width=0.5)+  #whiskers
  geom_boxplot( aes(group, weight),outlier.shape=1) +
  stat_summary(fun.y=mean, geom="point", size=2) +
  stat_summary(fun.data = mean_se, geom = "errorbar")

这篇关于如何使用ggplot2将标准误差线添加到箱形图和晶须图中?的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！