Function that provides a list of estimators. User is free to define his own list of estimators. Used in compare_independent_groups

independent_groups_estimators(
  group_a,
  group_b,
  SESOI_lower = 0,
  SESOI_upper = 0,
  na.rm = FALSE
)

Arguments

group_a

Numeric vector. This group represents baseline/control, observed variable, Pre-test in the paired design, or "practical" measure

group_b

Numeric vector. This group represents experimental, predicted variable, Post-test in the paired design, or "criterion" measure

SESOI_lower

Lower smallest effect size of interest threshold

SESOI_upper

Upper smallest effect size of interest threshold

na.rm

Should NAs be removed? Default is FALSE

Value

Named numeric vector with estimators

Examples

data("height_data") group_a <- height_data$Height[height_data$Gender == "Female"] group_b <- height_data$Height[height_data$Gender == "Male"] independent_groups_estimators(group_a, group_b, SESOI_lower = -2.5, SESOI_upper = 2.5)
#> SESOI lower SESOI upper SESOI range Mean diff #> -2.50000000 2.50000000 5.00000000 12.72521903 #> SD diff SD pooled %CV diff % diff #> 12.41402468 8.77804103 97.55450689 7.79837084 #> Ratio Cohen's d CLES OVL #> 1.07798371 1.44966502 0.84733444 0.46855479 #> Mean diff to SESOI SD diff to SESOI pLower pEquivalent #> 2.54504381 2.48280494 0.11148343 0.09457649 #> pHigher #> 0.79394008