ggtern: kde2d.weighted – R documentation

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kde2d.weighted

Two-Dimentional Kernel Density Estimation (Weighted)

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

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

`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.

Nicholas Hamilton