https://github.com/cran/cutpointr
Raw File
Tip revision: 7e56c827a694247d212e9a0167a119f917e1f31b authored by Christian Thiele on 31 August 2018, 15:50:10 UTC
version 0.7.4
Tip revision: 7e56c82
tpr.Rd
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/metrics.R
\name{tpr}
\alias{tpr}
\alias{fpr}
\alias{tnr}
\alias{fnr}
\title{Calculate true / false positive / negative rate}
\usage{
tpr(tp, fn, ...)

fpr(fp, tn, ...)

tnr(fp, tn, ...)

fnr(tp, fn, ...)
}
\arguments{
\item{tp}{(numeric) number of true positives.}

\item{fn}{(numeric) number of false negatives.}

\item{...}{for capturing additional arguments passed by method.}

\item{fp}{(numeric) number of false positives.}

\item{tn}{(numeric) number of true negatives.}
}
\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. \cr \cr
tpr = tp / (tp + fn) \cr
fpr = fp / (fp + tn) \cr
tnr = tn / (tn + fp) \cr
fnr = fn / (fn + tp) \cr
}
\examples{
tpr(10, 5, 20, 10)
tpr(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{specificity}},
  \code{\link{sum_ppv_npv}}, \code{\link{sum_sens_spec}},
  \code{\link{total_utility}}, \code{\link{tp}},
  \code{\link{youden}}
}
\concept{metric functions}
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