Get performance curves — get

This function generates and saves the Receiver Operating Characteristic (ROC) curve and Precision-Recall curve based on the provided metrics. It also includes the AUC values for both curves in the plot legends.

Usage

get_curves(data, spec, sens, reca, prec, color, auc_roc, auc_prc, file.name)

Arguments

data: A data frame containing the prediction metrics.
spec: The name of the column containing the specificity values.
sens: The name of the column containing the sensitivity values.
reca: The name of the column containing the recall values.
prec: The name of the column containing the precision values.
color: The name of the column containing the cohort names. Each cohort will have a corresponding color in the plot. Multiple cohorts will result in different curves.
auc_roc: A numeric value representing the AUC for the ROC curve.
auc_prc: A numeric value representing the AUC for the Precision-Recall curve.
file.name: A character string used as the file name prefix for saving the plots.

Value

Saves two PDF plots: one for the ROC curve and one for the Precision-Recall curve in the "Results/" directory.