英文:
How to use the `mean_se()` function to calculate confidence intervals?
问题
我想以编程方式创建95%置信区间。我如何设置geom_errorbar()中的mean_se的mult参数？
mtcars %>%
ggplot(aes(factor(cyl), hp)) +
geom_bar(stat = "summary", fun = mean, na.rm = TRUE)
geom_errorbar(stat = "summary", width = .3)
英文:
I want to programmatically create 95% confidence intervals. How can I set the mult argument of mean_se in geom_errorbar()?
mtcars %>%
ggplot(aes(factor(cyl), hp)) +
geom_bar(stat = "summary", fun = mean, na.rm = TRUE)
geom_errorbar(stat = "summary", width = .3)
答案1
得分: 1
以下是您要翻译的内容：
library(ggplot2)
ggplot(mtcars, aes(factor(cyl), hp)) +
geom_bar(stat = "summary", fun = mean, na.rm = TRUE) +
stat_summary(
fun.data = "mean_se",
fun.args = list(mult = 1.96),
geom = "errorbar",
width = 0.3
)
Created on 2023-02-15 with reprex v2.0.2
英文:
As a start
library(ggplot2)
ggplot(mtcars, aes(factor(cyl), hp)) +
geom_bar(stat = "summary", fun = mean, na.rm = TRUE) +
stat_summary(
fun.data = "mean_se",
fun.args = list(mult = 1.96),
geom = "errorbar",
width = 0.3
)
<sup>Created on 2023-02-15 with reprex v2.0.2</sup>
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