kde2d.weighted: 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, w, h, n = 25,
lims = c(range(x), range(y)))
Arguments
w
numeric value or vector of same length as x (and
y), for weighting.
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).