add pvalue bars to facet plot with "fill" sub-group - r

Question

I'm looking for a solution since too much time without finding it, so it's time to ask for some help...
I would like to add pValue to boxplots organized with facet_wrap (ggplot2). Similar to what you obtain with the script I add to this post (the first part of the script is the exemple of what I want and it's working well for 1 plot, the second part is related to facet and doesn't work).
I would like to add pvalue between all "dose" values of "OJ", same for "VC", but also between, for exemple "dose"=1 of OJ and VC (as in the plot). It's working well for 1 plot, but not in facet_wrap. The error message is:
Error: Assigned data value must be compatible with existing data.
x Existing data has 6 rows.
x Assigned data has 60 rows.
ℹ Only vectors of size 1 are recycled.
Thanks for your help (if only...)
The script:
################# DATAFRAME
data("ToothGrowth")
df <- ToothGrowth
vec <- c("A","B")
df$dose <- as.character(df$dose)
df$facet <- rep(sample(vec, 2),replace=T, nrow(df)/2)
view(df)
################### STAT
df_pval <- df %>%
rstatix::group_by(dose) %>%
rstatix::wilcox_test(len ~ supp) %>%
rstatix::add_xy_position()
df_pval2 <- df %>%
rstatix::group_by(supp) %>%
rstatix::wilcox_test(len ~ dose) %>%
rstatix::add_xy_position(x = "supp", dodge = 0.8)
################### PLOT
plotx <- ggplot(df, aes(x = supp, y = len)) +
geom_boxplot(aes(fill = dose)) +
stat_pvalue_manual(df_pval,
label = "{p}",
color = "dose",
fontface = "bold",
step.group.by = "dose",
step.increase = 0.1,
tip.length = 0,
bracket.colour = "black",
show.legend = FALSE) +
stat_pvalue_manual(df_pval2,
label = "{p}",
color = "black",
fontface = "bold",
step.group.by = "supp",
step.increase = 0.1,
tip.length = 0,
bracket.colour = "black",
show.legend = FALSE)
plot(plotx)
################### STAT FACET
df_pval3 <- df %>%
rstatix::group_by(dose, facet) %>%
rstatix::wilcox_test(len ~ supp) %>%
rstatix::add_xy_position()
df_pval4 <- df %>%
rstatix::group_by(supp, facet) %>%
rstatix::wilcox_test(len ~ dose) %>%
rstatix::add_xy_position(x = "supp", dodge = 0.8)
print(df_pval)
print(df_pval2)
###################### PLOT FACET
ploty <- ggplot(df, aes(x = supp, y = len)) +
geom_boxplot(aes(fill = dose)) +
facet_wrap(~df[,4]) + stat_pvalue_manual(df_pval3,
label = "{p}",
color = "dose",
fontface = "bold",
step.group.by = "dose",
step.increase = 0.1,
tip.length = 0,
bracket.colour = "black",
show.legend = FALSE) +
stat_pvalue_manual(df_pval4,
label = "{p}",
color = "black",
fontface = "bold",
step.group.by = "supp",
step.increase = 0.1,
tip.length = 0,
bracket.colour = "black",
show.legend = FALSE)
plot(ploty)