Description Usage Arguments Value Examples

This function computes all diagnostic statistics from a confusion matrix.

1 | ```
ROC.stats(outcome, predictor,cut.off='max.Youden',BR=1)
``` |

`outcome` |
The outcome variable indicating the status in the form of a data frame or matrix. This variable is typically coded as 0 (positive) and 1 (negative). |

`predictor` |
A numerical vector of scores used to predict the status of the outcome. This variable should be of the same length as the outcome variable (i.e., two variables are from the same data set and also of the same number of data rows). |

`cut.off` |
Specification of the criterion used to select the optimal cut score. Three options available: (1) 'max.Youden' returns the cut score that maximizes the Youden Index (the default); (2) 'max.sen' returns the cut score that maximizes the sensitivity; and (3) 'max.spe' returns the cut score that maximizes the specificity. |

`BR` |
Base rates or known prevalence. Multiple values can be specified simultaneously. By default BR=1. |

An object that contains the results.

`ROC.stats` |
Summary and classification statistics for all participants and
all the consecutive groups. Specifically. |

1 2 3 4 5 6 | ```
#read the example data
data(ROC.data.ex)
#run the function
ROC.stats(ROC.data.ex$outcome, ROC.data.ex$predictor,
cut.off='max.Youden',BR=1)
``` |

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