##### https://github.com/cran/bayestestR

Tip revision:

**2565fc870cd7f0a64d857ff89e682dc9344dc7c1**authored by**Dominique Makowski**on**12 February 2020, 04:10 UTC****version 0.5.2** Tip revision:

**2565fc8** area_under_curve.Rd

```
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/area_under_curve.R
\name{area_under_curve}
\alias{area_under_curve}
\alias{auc}
\title{Area under the Curve (AUC)}
\usage{
area_under_curve(x, y, method = c("trapezoid", "step", "spline"), ...)
auc(x, y, method = c("trapezoid", "step", "spline"), ...)
}
\arguments{
\item{x}{Vector of x values.}
\item{y}{Vector of y values.}
\item{method}{Method to compute the Area Under the Curve (AUC). Can be \code{"trapezoid"} (default), \code{"step"} or \code{"spline"}. If "trapezoid", the curve is formed by connecting all points by a direct line (composite trapezoid rule). If "step" is chosen then a stepwise connection of two points is used. For calculating the area under a spline interpolation the splinefun function is used in combination with integrate.}
\item{...}{Arguments passed to or from other methods.}
}
\description{
Based on the DescTools \code{AUC} function. It can calculate the area under the curve with a naive algorithm or a more elaborated spline approach. The curve must be given by vectors of xy-coordinates. This function can handle unsorted x values (by sorting x) and ties for the x values (by ignoring duplicates).
}
\examples{
library(bayestestR)
posterior <- distribution_normal(1000)
dens <- estimate_density(posterior)
dens <- dens[dens$x > 0, ]
x <- dens$x
y <- dens$y
area_under_curve(x, y, method = "trapezoid")
area_under_curve(x, y, method = "step")
area_under_curve(x, y, method = "spline")
}
\seealso{
DescTools
}
```