sensitivity: Calculate sensitivity

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

Calculate sensitivity

Description

Calculate sensitivity from true positives, false positives, true negatives and false negatives. The inputs must be vectors of equal length.

sensitivity = tp / (tp + fn)

Usage

sensitivity(tp, fn, ...)

Arguments

tp	(numeric) number of true positives.
fn	(numeric) number of false negatives.
...	for capturing additional arguments passed by method.

See Also

Other metric functions: F1_score(), Jaccard(), abs_d_ppv_npv(), abs_d_sens_spec(), accuracy(), cohens_kappa(), cutpoint(), 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(), specificity(), sum_ppv_npv(), sum_sens_spec(), total_utility(), tpr(), tp(), youden()

Examples

sensitivity(10, 5, 20, 10)
sensitivity(c(10, 8), c(5, 7), c(20, 12), c(10, 18))

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