mb_proportions_dependent: Magnitude-based Proportions for Two Dependent Groups

Description Usage Arguments Value

View source: R/mb-proportions.R

Description

mb_proportions_dependent calculates lower/equivalent/higher difference proportions between two dependent groups

Usage

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mb_proportions_dependent(
  group_a,
  group_b,
  SESOI_lower = 0,
  SESOI_upper = 0,
  method = "algebraic",
  na.rm = FALSE,
  use_normal_distribution = 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 proportions. Default is "algebraic"

na.rm

Should NAs be removed? Default is FALSE

use_normal_distribution

When estimating proportions algebraically, should normal or t-distribution be used. Default is FALSE (normal t-distribution)

Value

Data frame with lower, equivalent and higher columns


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