Data are as follows:
d <- data.frame(
Class= rep(c('First', 'Second'), 10),
Response= rnorm(20,14,4)
)
Here is my codes to get the boxplots and Cohen's d:
library(ggpubr)
library(ggplot2)
library(effsize)
p <- ggboxplot(d, x = "Class", y = "Response",
color = "Class", palette = "jco",
add = "jitter")
p + stat_compare_means(method = "t.test")
with(d, cohen.d(Response,Class))
I want to use only my codes to add Cohen's d to the boxplot.
Here is the intended outcome
If you want to do it all within the ggpubr
framework, you can try:
library(ggpubr)
library(ggplot2)
library(effsize)
ggboxplot(d, x = "Class", y = "Response", color = "Class", palette = "jco",
add = "jitter") +
stat_compare_means(method = "t.test",
aes(label = paste0("t-test p = ",after_stat(p.adj),
"; Cohen's D = ",
with(d, round(cohen.d(Response,Class)$estimate, 3)))))
Created on 2023-02-07 with reprex v2.0.2