Prints a one-line cli header summarizing the adjustment method,
family size, and number of significant rows; delegates the body to
tibble's print method via NextMethod(); and prints a one-line
footer when any p-values were excluded as NA.
Usage
# S3 method for class 'survey_pooled_pvals'
print(x, n = 10, ...)See also
Other multiplicity correction:
pool_pvals()
Examples
res <- list(
a = tibble::tibble(p_value = c(0.01, 0.04)),
b = tibble::tibble(p_value = 0.5)
)
out <- pool_pvals(res)
print(out)
#> <survey_pooled_pvals: method = "BH", family_size = 3, 1 significant at alpha =
#> 0.05>
#> # A tibble: 3 × 3
#> p_value source p_value_adj
#> <dbl> <chr> <dbl>
#> 1 0.01 a 0.03
#> 2 0.04 a 0.06
#> 3 0.5 b 0.5