Hello,
the data are here:
I have a between subject study desing, so i use pairwise.t.test to have my p-value :
c=pairwise.t.test(GF6TOT$value, GF6TOT$Tache, p.adjust.method = "holm", paired = TRUE)
c
So i get p-value from this.
Now i want t do a graph so i do:
library(ggstatsplot)
ggstatsplot::grouped_ggbetweenstats(GF6TOT, plot.type = "boxviolin",
x = Tache,
y = value,
grouping.var = variable, # grouping variable
pairwise.comparisons = TRUE, # display significant pairwise comparisons
pairwise.annotation = "p.value", # how do you want to annotate the pairwise comparisons
pairwise.display = "all",
p.adjust.method = "holm", # method for adjusting p-values for multiple comparisons
bf.message = TRUE,
conf.level = 0.95)
But the p-value are different and i dont understand why... can some one help me?