https://github.com/cran/cutpointr
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Tip revision: 94a7e298b1a50d93e8a9ccb813a070f7b30f3da1 authored by Christian Thiele on 21 March 2018, 08:27:24 UTC
version 0.7.2
Tip revision: 94a7e29
risk_ratio.Rd
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/metrics.R
\name{risk_ratio}
\alias{risk_ratio}
\title{Calculate the risk ratio (relative risk)}
\usage{
risk_ratio(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 risk ratio (or relative risk) from
true positives, false positives, true negatives and false negatives.
The inputs must be vectors of equal length. \cr \cr
risk_ratio = (tp / (tp + fn)) / (fp / (fp + tn)) \cr
}
\examples{
risk_ratio(10, 5, 20, 10)
risk_ratio(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{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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