specificity {cutpointr} | R Documentation |
Calculate specificity
Description
Calculate specificity from true positives, false positives, true negatives and false negatives.
The inputs must be vectors of equal length.
specificity = tn / (tn + fp)
Usage
specificity(fp, tn, ...)
Arguments
fp |
(numeric) number of false positives. |
tn |
(numeric) number of true 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()
,
sum_ppv_npv()
,
sum_sens_spec()
,
total_utility()
,
tpr()
,
tp()
,
youden()
Examples
specificity(10, 5, 20, 10)
specificity(c(10, 8), c(5, 7), c(20, 12), c(10, 18))
[Package cutpointr version 1.1.2 Index]