probability_superiority: Probability of Superiority Calculation

In ViSe: Visualizing Sensitivity

Probability of Superiority Calculation

Description

This function calculates the probability of superiority from independent samples Cohen's d calculation.

Usage

probability_superiority(
  d = NULL,
  m1 = NULL,
  m2 = NULL,
  sd1 = NULL,
  sd2 = NULL,
  n1 = NULL,
  n2 = NULL,
  a = 0.05,
  t = NULL,
  model = NULL,
  df = NULL,
  x_col = NULL,
  y_col = NULL
)

Arguments

d	the effect size
m1	mean group one
m2	mean group two
sd1	standard deviation group one
sd2	standard deviation group two
n1	sample size group one
n2	sample size group two
a	significance level
t	optional, calculate d from independent t, you must include n1 and n2 for degrees of freedom
model	optional, calculate d from t.test for independent t, you must still include n1 and n2
df	optional dataframe that includes the x_col and y_col
x_col	name of the column that contains the factor levels OR a numeric vector of group 1 scores
y_col	name of the column that contains the dependent score OR a numeric vector of group 2 scores

Details

You should provide one combination of the following:

1: d

2: m1 through n2

3: t, n1, n2

4: model, n1, n2

5: df, "x_col", "y_col"

6: x_col, y_col as numeric vectors

Value

The probability of superiority.

Examples

probability_superiority(d = .25)

ViSe documentation built on Oct. 10, 2024, 9:07 a.m.