ovmult: Multiple overlapping estimation

In overlapping: Estimation of Overlapping in Empirical Distributions

Multiple overlapping estimation

Description

It gives the overlap area between two or more kernel density estimations from empirical data.

Usage

ovmult( x, nbins = 1024, type = c( "1", "2" ), 
    boundaries = NULL, get_xpoints = FALSE, ... )

Arguments

x	a list of numerical vectors to be compared (each vector is an element of the list).
nbins	number of equally spaced points through which the density estimates are compared; see density for details.
type	character, type of index. If type = "2" returns the proportion of the overlapped area between two or more densities, see overlap.
boundaries	an optional vector indicating the minimum and the maximum over a predefined subset of the support of the empirical densities.
get_xpoints	logical, if TRUE returns a vector where the abscissas represent the points of intersection among the densities. Note: it works only if pairsOverlap = FALSE.
...	optional arguments to be passed to the function density.

Details

If the list x contains more than two elements (i.e. more than two distributions) it computes multiple overlap measures.

The optional vector boundaries has to contain two numbers for the empirical minimum and maximum of the overlapped area. See examples below.

Value

It returns the value of overlapped area.

Note

Called from the function overlap.

Author(s)

Pierfrancesco Alaimo Di Loro, Marco Mingione, Massimiliano Pastore

Examples

set.seed(20150605)
x <- list(X1=rnorm(100), X2=rt(50,8), X3=rchisq(80,2))
ovmult(x)
ovmult(x, normalized = TRUE)

# including boundaries
x <- list(X1=runif(100), X2=runif(100,.5,1))
ovmult(x, boundaries=c( 0, .8 ))

x <- list(X1=runif(100), X2=runif(50), X3=runif(30))
ovmult(x, boundaries=c( .2, .8 ))

# changing kernel
ovmult(x, kernel="rectangular")

overlapping documentation built on Dec. 28, 2022, 2:13 a.m.