Revision 94a7e298b1a50d93e8a9ccb813a070f7b30f3da1 authored by Christian Thiele on 21 March 2018, 08:27:24 UTC, committed by cran-robot on 21 March 2018, 08:27:24 UTC
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ppv.Rd
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/metrics.R
\name{ppv}
\alias{ppv}
\title{Calculate the positive predictive value}
\usage{
ppv(tp, fp, tn, fn, ...)
}
\arguments{
\item{tp}{(numeric) number of true positives.}
\item{fp}{(numeric) number of false positives.}
\item{tn}{(numeric) number of true negatives.}
\item{fn}{(numeric) number of false negatives.}
\item{...}{for capturing additional arguments passed by method.}
}
\description{
Calculate the positive predictive value (PPV) from
true positives, false positives, true negatives and false negatives.
The inputs must be vectors of equal length. \cr \cr
ppv = tp / (tp + fp) \cr
}
\examples{
ppv(10, 5, 20, 10)
ppv(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{precision}},
\code{\link{prod_ppv_npv}}, \code{\link{prod_sens_spec}},
\code{\link{recall}}, \code{\link{risk_ratio}},
\code{\link{sensitivity}}, \code{\link{specificity}},
\code{\link{sum_ppv_npv}}, \code{\link{sum_sens_spec}},
\code{\link{total_utility}}, \code{\link{tpr}},
\code{\link{tp}}, \code{\link{youden}}
}
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