petersenlab (version 1.1.0)

simulateAUC: Simulate Area Under the ROC Curve (AUC).

Description

Simulate data with a specified area under the receiver operating characteristic curve—i.e., the AUC of an ROC curve.

Usage

simulateAUC(auc, n)

Value

Dataframe with two columns:

• x is the predictor variable.

• y is the dichotomous criterion variable.

Arguments

auc

The area under the receiver operating characteristic (ROC) curve.

n

The number of observations to simulate.

Details

Simulates data with a specified area under the receiver operating characteristic curve—i.e., the AUC of an ROC curve.

See Also

https://stats.stackexchange.com/questions/422926/generate-synthetic-data-given-auc/424213

Other simulation: complement(), simulateIndirectEffect()

Examples

simulateAUC(.60, 50000)
simulateAUC(.70, 50000)
simulateAUC(.80, 50000)
simulateAUC(.90, 50000)
simulateAUC(.95, 50000)
simulateAUC(.99, 50000)