kde2d.weighted: Two-Dimentional Kernel Density Estimation (Weighted)

kde2d.weightedR Documentation

Two-Dimentional Kernel Density Estimation (Weighted)

Description

Based of an algorithm found online at https://stat.ethz.ch/pipermail/r-help/2006-June/107405.html.

Usage

kde2d.weighted(x, y, h, n = 25, lims = c(range(x), range(y)), w)

Arguments

x

x coordinate of data

y

y coordinate of data

h

vector of bandwidths for x and y directions. Defaults to normal reference bandwidth (see bandwidth.nrd). A scalar value will be taken to apply to both directions.

n

Number of grid points in each direction. Can be scalar or a length-2 integer vector.

lims

The limits of the rectangle covered by the grid as c(xl, xu, yl, yu).

w

numeric value or vector of same length as x (and y), for weighting, if not provided, a unified weighting of '1' will which will result in the regular density calculation.

Author(s)

Nicholas Hamilton

See Also

kde2d


ggtern documentation built on June 22, 2024, 11:01 a.m.