| tpr {cutpointr} | R Documentation |
Calculate true / false positive / negative rate
Description
Calculate the true positive rate (tpr, equal to sensitivity and recall),
the false positive rate (fpr, equal to fall-out),
the true negative rate (tnr, equal to specificity),
or the false negative rate (fnr) from
true positives, false positives, true negatives and false negatives.
The inputs must be vectors of equal length.
tpr = tp / (tp + fn)
fpr = fp / (fp + tn)
tnr = tn / (tn + fp)
fnr = fn / (fn + tp)
Usage
tpr(tp, fn, ...)
fpr(fp, tn, ...)
tnr(fp, tn, ...)
fnr(tp, fn, ...)
Arguments
tp |
(numeric) number of true positives. |
fn |
(numeric) number of false negatives. |
... |
for capturing additional arguments passed by method. |
fp |
(numeric) number of false positives. |
tn |
(numeric) number of true 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(),
tp(),
youden()
Examples
tpr(10, 5, 20, 10)
tpr(c(10, 8), c(5, 7), c(20, 12), c(10, 18))