Description Usage Arguments Value References See Also Examples

Apply z-test for difference between auc_1 and auc_2 using FBH method.

1 | ```
fbh_test(auc_1, auc_2, n_p, n_n)
``` |

`auc_1` |
value of A' statistic (or AUC, or Area Under the Receiver operating characteristic curve) for the first group (numeric). |

`auc_2` |
value of A' statistic (or AUC, or Area Under the Receiver operating characteristic curve) for the second group (numeric). |

`n_p` |
number of positive observations (needed for calculation of standard error of Wilcoxon statistic) (numeric). |

`n_n` |
number of negative observations (needed for calculation of standard error of Wilcoxon statistic) (numeric). |

numeric, single aggregated z-score of comparison A'_1 - A'_2.

Fogarty, Baker and Hudson, Case Studies in the use of ROC Curve Analysis for Sensor-Based Estimates in Human Computer Interaction, Proceedings of Graphics Interface (2005) pp. 129-136.

Other fbh method: `auc_compare`

,
`se_auc`

1 2 3 4 5 |

```
[1] 0
[1] -1.950644
[1] 1.950644
```

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