| abs_d_sens_spec {cutpointr} | R Documentation |
Calculate the absolute difference of sensitivity and specificity
Description
Calculate the absolute difference of sensitivity and specificity
from true positives, false positives, true negatives and false negatives.
The inputs must be vectors of equal length.
sensitivity = tp / (tp + fn)
specificity = tn / (tn + fp)
abs_d_sens_spec = |sensitivity - specificity|
Usage
abs_d_sens_spec(tp, fp, tn, fn, ...)
Arguments
tp |
(numeric) number of true positives. |
fp |
(numeric) number of false positives. |
tn |
(numeric) number of true negatives. |
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(),
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(),
tp(),
youden()
Examples
abs_d_sens_spec(10, 5, 20, 10)
abs_d_sens_spec(c(10, 8), c(5, 7), c(20, 12), c(10, 18))