ggbetweenstats: Welch's ANOVA producing NAs about ggstatsplot HOT 5 CLOSED

df <- structure(
  list(
    group = structure(
      c(
        6L, 6L, 6L, 6L, 6L, 6L, 6L,
        6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 4L, 3L, 5L, 2L, 3L,
        2L, 3L, 3L, 4L, 3L, 4L, 5L, 3L, 1L, 2L, 1L, 5L, 1L, 4L, 2L, 3L,
        1L, 4L, 5L, 3L, 3L, 4L, 3L, 3L, 2L, 2L, 2L, 1L, 1L, 5L, 1L, 4L,
        4L, 2L, 1L, 1L, 2L, 2L, 1L, 4L, 2L, 4L, 2L, 2L, 3L, 4L, 5L, 2L,
        2L, 1L, 5L, 5L, 1L, 3L, 4L, 3L, 3L, 5L, 4L, 5L, 1L, 4L, 1L, 4L,
        4L, 1L, 3L, 2L, 4L, 5L, 5L, 4L, 4L, 4L, 2L, 1L, 5L, 1L, 3L, 5L,
        2L, 4L, 1L, 3L
      ),
      levels = c(
        "GroupA", "GroupB", "GroupC", "GroupD",
        "GroupE", "GroupF"
      ),
      class = "factor"
    ),
    t = c(
      5, 4, 4, 4, 5,
      3.5, 3, 4, 3, 4, 5, 4.5, 4.5, 3.5, 4.5, 5, 4, 4, 2, 5, 5, 1.5,
      4.5, 4, 4, 3, 5, 5, 2, 5, 5, 4, 4, 4, 5, 5, 2, 5, 4, 4, 4, 5,
      5, 2.5, 4.5, 2, 2, 5, 5, 4, 2, 3, 5, 5, 5, 5, 5, 2.5, 4.5, 4,
      3, 4, 3, 5, 4, 4, 5, 4, 2.5, 5, 5, 4, 5, 5, 5, 5, 5, 2, 1, 2.5,
      5, 2.5, 5, 5, 4, 5, 3, 4, 5, 3, 3, 4.5, 5, 5, 2, 5, 3.5, 5, 5,
      5, 3, 4, 5, 4, 5, 4, 2
    )
  ),
  row.names = c(NA, -107L),
  class = c("tbl_df", "tbl", "data.frame")
)

oneway.test(t ~ group, data = df)
#> 
#>  One-way analysis of means (not assuming equal variances)
#> 
#> data:  t and group
#> F = NaN, num df = 5, denom df = NaN, p-value = NA

library(ggstatsplot)
ggbetweenstats(df, group, t, var.equal = TRUE)