https://github.com/cran/cutpointr
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Tip revision: 7e56c827a694247d212e9a0167a119f917e1f31b authored by Christian Thiele on 31 August 2018, 15:50:10 UTC
version 0.7.4
Tip revision: 7e56c82
specificity.Rd
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/metrics.R
\name{specificity}
\alias{specificity}
\title{Calculate specificity}
\usage{
specificity(fp, tn, ...)
}
\arguments{
\item{fp}{(numeric) number of false positives.}

\item{tn}{(numeric) number of true negatives.}

\item{...}{for capturing additional arguments passed by method.}
}
\description{
Calculate specificity from true positives, false positives, true negatives and false negatives.
The inputs must be vectors of equal length. \cr \cr
specificity = tn / (tn + fp) \cr
}
\examples{
specificity(10, 5, 20, 10)
specificity(c(10, 8), c(5, 7), c(20, 12), c(10, 18))
}
\seealso{
Other metric functions: \code{\link{F1_score}},
  \code{\link{abs_d_ppv_npv}},
  \code{\link{abs_d_sens_spec}}, \code{\link{accuracy}},
  \code{\link{cohens_kappa}}, \code{\link{cutpoint}},
  \code{\link{false_omission_rate}},
  \code{\link{misclassification_cost}}, \code{\link{npv}},
  \code{\link{odds_ratio}}, \code{\link{p_chisquared}},
  \code{\link{plr}}, \code{\link{ppv}},
  \code{\link{precision}}, \code{\link{prod_ppv_npv}},
  \code{\link{prod_sens_spec}}, \code{\link{recall}},
  \code{\link{risk_ratio}}, \code{\link{roc01}},
  \code{\link{sensitivity}}, \code{\link{sum_ppv_npv}},
  \code{\link{sum_sens_spec}}, \code{\link{total_utility}},
  \code{\link{tpr}}, \code{\link{tp}}, \code{\link{youden}}
}
\concept{metric functions}
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