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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accuracy.Rd
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/metrics.R
\name{accuracy}
\alias{accuracy}
\title{Calculate accuracy}
\usage{
accuracy(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 accuracy from
true positives, false positives, true negatives and false negatives.
The inputs must be vectors of equal length. \cr \cr
accuracy = (tp + tn) / (tp + fp + tn + fn)
}
\examples{
accuracy(10, 5, 20, 10)
accuracy(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{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_ppv_npv}},
\code{\link{sum_sens_spec}}, \code{\link{total_utility}},
\code{\link{tpr}}, \code{\link{tp}}, \code{\link{youden}}
}
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