I'm able to run a t-test or a Wilcoxon test on the data with no warnings, but I get an error when I try to plot in with ggpubr 's function stat_pvalue_manual() in ggplot2

• The t-test works just fine:

### runing a t-test (no problem):

t.test(data$SUJ_PRE ~ AMOSTRA, data = data, exact = F)

• But I get the error in stat_pvalue_manual:

### trying to plot it: 

data %>%
  ggplot(., aes(x = AMOSTRA, y = SUJ_PRE))  
  stat_boxplot(geom = "errorbar",
               width = 0.15)  
  geom_boxplot(aes(fill = AMOSTRA), outlier.colour = "#9370DB", outlier.shape = 19,
               outlier.size= 2, notch = T)  
  scale_fill_manual(values = c("PB" = "#E6E6FA", "PE" = "#CCCCFF"), 
                    label = c("PB" = "PB", "PE" = "PE"),
                    name = "Amostra:")  
  stat_summary(fun = mean, geom = "point", shape = 20, size= 5, color= "#9370DB")   
  stat_pvalue_manual(data %>%
                       t_test(SUJ_PRE ~ AMOSTRA) %>%
                       add_xy_position(),
                     label = "t = {round(statistic, 2)}, p = {p}") 

Error in `mutate()`:
! Problem while computing `data = map(.data$data, .f, ...)`.
Caused by error in `t.test.default()`:
! not enough 'x' observations

• With SUJ_PRE I'm getting the error with 'x' , but I've also got the 'y' message with another variable too. Any thoughts on that? I've seem some