| sum_sens_spec {cutpointr} | R Documentation |
Calculate the sum of sensitivity and specificity
Description
Calculate the sum 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)
sum_sens_spec = sensitivity + specificity
Usage
sum_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(),
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(),
total_utility(),
tpr(),
tp(),
youden()
Examples
sum_sens_spec(10, 5, 20, 10)
sum_sens_spec(c(10, 8), c(5, 7), c(20, 12), c(10, 18))