View source: R/probability_superiority.R

probability_superiority | R Documentation |

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

```
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
)
```

`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 |

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

The probability of superiority.

```
probability_superiority(d = .25)
```

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