CLES: Common Language Effect Size (CLES)

In mladenjovanovic/bmbstats: Bootstrap Magnitude-Based Statistics

Description

CLES calculates the probability that a random observation from Group B is higher/larger than a random observation from Group A. Groups are considered independent.

Usage

CLES(
  group_a,
  group_b,
  SESOI_lower = 0,
  SESOI_upper = 0,
  method = "algebraic",
  count_equivalent = "ignore",
  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
method	Select "brute-force" or "algebraic" method to calculate CLES. Default is "algebraic"
count_equivalent	How should equivalent differences be counted? Ignored, counted as higher or lower difference. Default is "ignore". Other options are "higher" and "lower"
na.rm	Should NAs be removed? Default is FALSE

Value

Numeric

Examples

CLES(
  rnorm(n = 50, mean = 100, sd = 10),
  rnorm(n = 40, mean = 98, sd = 8)
)

mladenjovanovic/bmbstats documentation built on Aug. 5, 2020, 4:20 p.m.