probability_superiority {ViSe}

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)