cutpoint: Extract the cutpoints from a ROC curve generated by cutpointr

In cutpointr: Determine and Evaluate Optimal Cutpoints in Binary Classification Tasks

Extract the cutpoints from a ROC curve generated by cutpointr

Description

This is a utility function for extracting the cutpoints from a roc_cutpointr object. Mainly useful in conjunction with the plot_cutpointr function if cutpoints are to be plotted on the x-axis.

Usage

cutpoint(x, ...)

cutpoints(x, ...)

Arguments

x	A roc_cutpointr object.
...	Further arguments.

See Also

Other metric functions: F1_score(), Jaccard(), abs_d_ppv_npv(), abs_d_sens_spec(), accuracy(), cohens_kappa(), false_omission_rate(), metric_constrain(), misclassification_cost(), npv(), odds_ratio(), p_chisquared(), plr(), ppv(), precision(), prod_ppv_npv(), prod_sens_spec(), recall(), risk_ratio(), roc01(), sensitivity(), specificity(), sum_ppv_npv(), sum_sens_spec(), total_utility(), tpr(), tp(), youden()

Examples

oc <- cutpointr(suicide, dsi, suicide, gender)
plot_cutpointr(oc, cutpoint, accuracy)

cutpointr documentation built on April 14, 2022, 1:06 a.m.