tp: Extract number true / false positives / negatives

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

Extract number true / false positives / negatives

Description

Extract the number of true positives (tp), false positives (fp), true negatives (tn), or false negatives (fn). The inputs must be vectors of equal length. Mainly useful for plot_cutpointr.

Usage

tp(tp, ...)

tn(tn, ...)

fp(fp, ...)

fn(fn, ...)

Arguments

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

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(), specificity(), sum_ppv_npv(), sum_sens_spec(), total_utility(), tpr(), youden()

Examples

tp(10, 5, 20, 10)
tp(c(10, 8), c(5, 7), c(20, 12), c(10, 18))
fp(10, 5, 20, 10)
tn(10, 5, 20, 10)
fn(10, 5, 20, 10)

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