| sum_ppv_npv {cutpointr} | R Documentation |
Calculate the sum of positive and negative predictive value
Description
Calculate the sum of positive predictive value (PPV) and
negative predictive value (NPV) from
true positives, false positives, true negatives and false negatives.
The inputs must be vectors of equal length.
ppv = tp / (tp + fp)
npv = tn / (tn + fn)
sum_ppv_npv = ppv + npv
Usage
sum_ppv_npv(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_sens_spec(),
total_utility(),
tpr(),
tp(),
youden()
Examples
sum_ppv_npv(10, 5, 20, 10)
sum_ppv_npv(c(10, 8), c(5, 7), c(20, 12), c(10, 18))