Description Usage Arguments Value References Examples

This function computes the optimal cut-off scores based on sensitivity, specificity, and the Youden Index (Youden, 1950) <doi:10.1002/1097-0142(1950)3:1<32::AID-CNCR2820030106>3.0.CO;2-3>.

1 | ```
cutscores(outcome, predictor)
``` |

`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). |

A list of two objects: (1) summary statistics of selected cut scores, and (2) detailed information of each used cut score and corresponding classification statistics.

`Summary` |
Summary statistics of selected cut scores. Specifically, |

`Details` |
Detailed information of each used cut score and corresponding classification statistics. |

Youden, W.J. (1950). "Index for rating diagnostic tests." Cancer,3, 32-35. doi:10.1002/1097-0142(1950)3:1<32::AID-CNCR2820030106>3.0.CO;2-3.

1 2 3 4 5 6 7 8 | ```
#read the example data
data(ROC.data.ex)
#run the function
result<-cutscores(ROC.data.ex$outcome, ROC.data.ex$predictor)
#obtain results
result$Summary
result$Details
``` |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.