specificity: Calculate specificity

View source: R/metrics.R

specificityR Documentation

Calculate specificity

Description

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

specificity = tn / (tn + fp)

Usage

specificity(fp, tn, ...)

Arguments

fp

(numeric) number of false positives.

tn

(numeric) number of true 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(), sensitivity(), sum_ppv_npv(), sum_sens_spec(), total_utility(), tpr(), tp(), youden()

Examples

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

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