sensitivity {cutpointr}R Documentation

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))

[Package cutpointr version 1.1.1 Index]