I have data on Percentage Change from Baseline for two groups, and I've encountered an outlier. To visualize the data, I created a boxplot and added the number of observations at the bottom using stat_summary. Additionally, I conducted a test to assess if the Percentage Change from Baseline is significantly different from zero.
I attempted to break the y-axis into two parts, but I encountered an issue: the number of observations is displayed twice.
Here are my data and my attempt in R:
set.seed(200)
# data
df <- data.frame(
G1 = c(rep("A", 8), rep("B", 30)),
G2 = c(rnorm(8, mean = 5, sd = 10), rnorm(29, mean = 50, sd = 20), 1000)
)
# ----function for Annotate sample size----
n_fun <- function(x){
return(data.frame(y = -Inf,
label = paste("N=", length(x), "\n")))
}
# calculate the mean and SD by group
mean_sd <- df %>%
group_by(G1) %>%
summarize(
rmean = mean(G2),
rsd = sd(G2)
)
# ____ Boxplots:
theme_set(theme_minimal())
library(ggpubr)
library(ggbreak)
# gplot
ggboxplot(df, x = "G1", y = "G2", color = "G1", add = "jitter", palette = "jco") +
# Axis and legende
xlab("") +
ylab("Percent Change") +
theme(legend.key.size = unit(2.5, "lines")) +
scale_y_break(c(300, 950)) + # BREAK
theme(axis.text.x = element_text(angle = 0, size = 9),
axis.text.y = element_text(size = 10)) +
# Sample size
stat_summary(fun.data = n_fun, geom = "text",
aes(group = G1), hjust = 0.8,
position = position_dodge(0.9), size = 3) +
# Wilcoxon test mean comparaison
stat_compare_means(method = "wilcox.test", method.args = list(mu = 0),
label = 'p.signif') +
# y = 0
geom_hline(yintercept = 0, linetype = "dashed", color = "gray") +
# Mean and sd
geom_text(data = mean_sd, aes(x = G1, y = rmean,
label = paste("Mean(SD):",
round(rmean, 2),
"(",
round(rsd, 2),
")")),
vjust = -15, color = "black")
Could you please assist me in correcting the graph? Thank you :)

It seems to be to do with how ggbreak treats
-Inf. You could instead use a calculated position based on thedfvalues, e.g. something likemin(df$G2) * 5insiden_fun:Created on 2024-03-17 with reprex v2.1.0