| false_omission_rate {cutpointr} | R Documentation |
Calculate the false omission and false discovery rate
Description
Calculate the false omission rate or false discovery rate
from true positives, false positives, true negatives and false negatives.
The inputs must be vectors of equal length.
false_omission_rate = fn / (tn + fn) = 1 - npv
false_discovery_rate = fp / (tp + fp) = 1 - ppv
Usage
false_omission_rate(tp, fp, tn, fn, ...)
false_discovery_rate(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(),
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
false_omission_rate(10, 5, 20, 10)
false_omission_rate(c(10, 8), c(5, 7), c(20, 12), c(10, 18))