Compute effect sizes between two samples

Usage

cr_effect_size(
  x,
  y,
  method = c("cohens_d", "hedges_g", "cliffs_delta", "rank_biserial"),
  ci = 0.95,
  n_boot = 200
)

Arguments

x: Numeric vector (treatment group).
y: Numeric vector (control / reference group).
method: Character vector of methods to compute. Allowed: "cohens_d", "hedges_g", "cliffs_delta", "rank_biserial", "glass_delta".
ci: Confidence level for bootstrap CI (default 0.95). Set NULL to skip.
n_boot: Number of bootstrap resamples used for the CI.

Value

A tibble with columns method, estimate, ci_low, ci_high, magnitude.

Examples

set.seed(1)
cr_effect_size(stats::rnorm(100, 1), stats::rnorm(100, 0))
#> # A tibble: 4 × 5
#>   method        estimate ci_low ci_high magnitude
#>   <chr>            <dbl>  <dbl>   <dbl> <chr>    
#> 1 cohens_d         1.23   0.959   1.62  large    
#> 2 hedges_g         1.23   0.892   1.61  large    
#> 3 cliffs_delta     0.616  0.474   0.731 large    
#> 4 rank_biserial   -0.616 -0.730  -0.490 large