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

Tip revision:

**d2eac42f58e4e0f0d07298e8c2e719ef6a30672d**authored by**Dominique Makowski**on**19 June 2020, 08:00:07 UTC****version 0.7.0** Tip revision:

**d2eac42** overlap.Rd

```
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/overlap.R
\name{overlap}
\alias{overlap}
\title{Overlap Coefficient}
\usage{
overlap(
x,
y,
method_density = "kernel",
method_auc = "trapezoid",
precision = 2^10,
extend = TRUE,
extend_scale = 0.1,
...
)
}
\arguments{
\item{x}{Vector of x values.}
\item{y}{Vector of x values.}
\item{method_density}{Density estimation method. See \code{\link{estimate_density}}.}
\item{method_auc}{Area Under the Curve (AUC) estimation method. See \code{\link{area_under_curve}}.}
\item{precision}{Number of points of density data. See the \code{n} parameter in \code{density}.}
\item{extend}{Extend the range of the x axis by a factor of \code{extend_scale}.}
\item{extend_scale}{Ratio of range by which to extend the x axis. A value of \code{0.1} means that the x axis will be extended by \code{1/10} of the range of the data.}
\item{...}{Currently not used.}
}
\description{
A method to calculate the overlap coefficient between two empirical distributions (that can be used as a measure of similarity between two samples).
}
\examples{
library(bayestestR)
x <- distribution_normal(1000, 2, 0.5)
y <- distribution_normal(1000, 0, 1)
overlap(x, y)
plot(overlap(x, y))
}
```