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

In ggtern: An Extension to 'ggplot2', for the Creation of Ternary Diagrams

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 7, 2023, 6:33 p.m.