tidy_lm_add_multiple_comparison_correction

add adjusted p-values (i.e., multiple comparison correction methods) as a new column using the p.adjust() function

tidy_lm_add_multiple_comparison_correction(tidy_df, methods = "all")

Arguments

tidy_df	a tidy table of lm results
methods	= "all" (default). a string or vector c() of p.adjust methods, which include: "holm", "hochberg", "hommel", "bonferroni", "BH", "BY", "fdr", or "all"

Value

numeric adjusted p.values column using all or defined mutliple comparison correction methods. this column is added to a tidy table of a lm result

Examples

packages <- c("broom", "bootPermBroom", "dplyr")
xfun::pkg_attach(packages, message = F, install = T)

lm(salary ~ sex, carData::Salaries) %>%
  tidy() %>%
  tidy_lm_add_multiple_comparison_correction()
#> # A tibble: 2 x 12
#>   term  estimate std.error statistic  p.value p_value_BH p_value_bonferr…
#>   <chr>    <dbl>     <dbl>     <dbl>    <dbl>      <dbl>            <dbl>
#> 1 (Int…  101002.     4809.     21.0  2.68e-66   5.37e-66         5.37e-66
#> 2 sexM…   14088.     5065.      2.78 5.67e- 3   5.67e- 3         1.13e- 2
#> # … with 5 more variables: p_value_BY <dbl>, p_value_fdr <dbl>,
#> #   p_value_hochberg <dbl>, p_value_holm <dbl>, p_value_hommel <dbl>