robust anova not working when `NA`s present in data about ggstatsplot HOT 2 CLOSED

library(ggstatsplot)
library(ggplot2)
# data
# ggplot2::msleep
WRS2::t1way(formula = sleep_rem ~ vore, 
            data = ggplot2::msleep)
#> Call:
#> WRS2::t1way(formula = sleep_rem ~ vore, data = ggplot2::msleep)
#> 
#> Test statistic: F = 2.7569 
#> Degrees of freedom 1: 3 
#> Degrees of freedom 2: 9.37 
#> p-value: 0.10159 
#> 
#> Explanatory measure of effect size: 0.76

ggstatsplot::subtitle_ggbetween_rob_anova(
  data = ggplot2::msleep,
  x = vore,
  y = sleep_rem
)
#> Error in WRS2::t1way(formula = stats::as.formula(formula), data = d, tr = tr): Standard error cannot be computed because of Winsorized variance of 0 (e.g., due to ties). Try do decrease the trimming level.

# remove  vore = "insecti"
xxx <- ggplot2::msleep %>% dplyr::filter(vore != "insecti")
ggstatsplot::subtitle_ggbetween_rob_anova(
  data = xxx,
  x = vore,
  y = sleep_rem
)
#> Note: 95% CI for explanatory measure of effect size was computed with 100 bootstrap samples.
#> 
#> Note: In case of error, try reducing the trimming level 0.1 and/or increasing the number of bootstrap samples 100
#> 
#> paste(italic("F"), "(", 2, ",", "17.577", ") = ", "2.232", ", ", 
#>     italic("p"), " = ", "0.137", ", ", italic(xi), " = ", "0.370", 
#>     ", 95% CI [", "0.003", ", ", "0.605", "]", ", ", italic("n"), 
#>     " = ", 52L)