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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sum_ppv_npv.Rd
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/metrics.R
\name{sum_ppv_npv}
\alias{sum_ppv_npv}
\title{Calculate the sum of positive and negative predictive value}
\usage{
sum_ppv_npv(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 sum of positive predictive value (PPV) and
negative predictive value (NPV) 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
npv = tn / (tn + fn) \cr
sum_ppv_npv = ppv + npv \cr
}
\examples{
sum_ppv_npv(10, 5, 20, 10)
sum_ppv_npv(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{sensitivity}},
\code{\link{specificity}}, \code{\link{sum_sens_spec}},
\code{\link{total_utility}}, \code{\link{tpr}},
\code{\link{tp}}, \code{\link{youden}}
}
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