https://github.com/cran/cutpointr
Raw File
Tip revision: 4408233eb8624dea85ecf18e86d50c296165c3f2 authored by Christian Thiele on 13 April 2022, 17:12:29 UTC
version 1.1.2
Tip revision: 4408233
tp.Rd
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/metrics.R
\name{tp}
\alias{tp}
\alias{tn}
\alias{fp}
\alias{fn}
\title{Extract number true / false positives / negatives}
\usage{
tp(tp, ...)

tn(tn, ...)

fp(fp, ...)

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

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

\item{tn}{(numeric) number of true negatives.}

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

\item{fn}{(numeric) number of false negatives.}
}
\description{
Extract the number of true positives (tp), false positives (fp),
true negatives (tn), or false negatives (fn).
The inputs must be vectors of equal length. Mainly useful for \code{plot_cutpointr}.
}
\examples{
tp(10, 5, 20, 10)
tp(c(10, 8), c(5, 7), c(20, 12), c(10, 18))
fp(10, 5, 20, 10)
tn(10, 5, 20, 10)
fn(10, 5, 20, 10)
}
\seealso{
Other metric functions: 
\code{\link{F1_score}()},
\code{\link{Jaccard}()},
\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{metric_constrain}()},
\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{tpr}()},
\code{\link{youden}()}
}
\concept{metric functions}
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