Adding multiple p-values to ggplot using rstatix package-CodePudding

I am trying to add multiple p-values to my stacked bar chart. I can get a single p-value added to my data with the following code:

library(tidyverse)
library(ggprism)
library(rstatix)

RDT_Pos_genus_pval <- table(RDT_genus_ratio$Ag_RDT, RDT_genus_ratio$Genus_Cytb) %>%  ##filtered to one group for example purposes
                     fisher.test() %>%
                     .$p.value %>%
                      signif(3)
Pos_genus_pval <- data.frame(
  group1 = "Mastomys",
  group2 = "Praomys",
  label = RDT_Pos_genus_pval,
  y.position = 1.05)

RDT_genus_ratio_bar <- ggplot(RDT_genus_ratio)  
  geom_bar(mapping = aes(x = Genus_Cytb, fill = Ag_RDT), position = "fill")  
  labs(y = "Percentage", x = "Genus")  
  scale_y_continuous(labels = scales::percent, guide = "prism_offset_minor")  
  scale_x_discrete()  
  scale_fill_discrete(name = "Antigen Status", labels = c("FALSE" = "Ag -", "TRUE" = "Ag  "))  
  theme_classic()  
  theme(aspect.ratio = 2/1.5, plot.title = element_text(hjust = 0.5, size = 16),
        axis.text.y = element_text(size = 12, vjust = -0.2), axis.text.x = element_text(size = 10),
        axis.title = element_text(size = 12), axis.title.x.bottom = element_text(size = 12, vjust = 0.5))  
  add_pvalue(Pos_genus_pval, label = "p = {label}")

However, I'd like to add pairwise fisher tests to all three groups. I know with the rstatix package I should be able to do this by creating a dataframe specifically for this, then adding it in place of Pos_genus_pval in the add_pvalue line. However, I keep getting stuck on the add_y_position part (see below)

asdf <- table(RDT_genus_ratio$Ag_RDT, RDT_genus_ratio$Genus_Cytb) %>%
  pairwise_fisher_test() 

# A tibble: 3 x 6
  group1   group2      n        p    p.adj p.adj.signif
* <chr>    <chr>   <int>    <dbl>    <dbl> <chr>       
1 Mastomys Praomys   316 4.14e- 1 4.14e- 1 ns          
2 Mastomys Rattus    491 7.44e-18 2.23e-17 ****        
3 Praomys  Rattus    209 1.29e- 2 2.58e- 2 *  

asdf <- table(RDT_genus_ratio$Ag_RDT, RDT_genus_ratio$Genus_Cytb) %>%
  pairwise_fisher_test() %>%
  add_y_position(formula = group1 ~ group2) ##this line is where I'm getting stuck 

Error in add_y_position(., formula = group1 ~ group2) : 
  data and formula arguments should be specified.

I've been trying to follow the examples linked in the