Removing NS from ggplot

[samuelwushu]

Hello, newbie here! I am trying to create a boxplot with multiple comparisons (repeated measures). When using the function hide.ns = True in the stat_pvalue_manual function, I am able to hide the non-significant (ns) values but a big gap is left in between the significant values. Does anyone know a way to remove these non significant values (ns) or hide them in a way that does not leave a big gap in between values?

Thank you in advance!

##pairwise comparison
pwc <- df %>%
pairwise_t_test(
y ~ x, paired = TRUE,
p.adjust.method = "none"
)
pwc

print(pwc, n = nrow(pwc))

##boxplot
p <- ggplot(df, aes(x, y, color=x, add = "jitter")) + geom_boxplot() +
theme_classic() + labs(x = "Period", y = "Pain Pressure Threshold (kg)", color = "Condition") +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5))
p

##adding stats
p <- p +
stat_pvalue_manual(pwc, tip.length = 0.01, hide.ns = TRUE)
labs(
subtitle = get_test_label(res.aov, detailed = TRUE),
caption = get_pwc_label(pwc)
)
p

[nirgrahamuk]

Hi!

To help us help you, could you please prepare a reproducible example (reprex) illustrating your issue? Please have a look at this guide, to see how to create one:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…