# probability_superiority: Probability of Superiority Calculation In ViSe: Visualizing Sensitivity

 probability_superiority R Documentation

## 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 May 29, 2024, 8:35 a.m.