54 lines
1.3 KiB
Plaintext
54 lines
1.3 KiB
Plaintext
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{{alias}}( x, y[, options] )
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Two-dimensional kernel density estimation.
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Parameters
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----------
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x: Array<number>
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Array of x values.
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y: Array<number>
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Array of y values.
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options: Object (optional)
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Function options.
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options.h: number (optional)
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Array of length two containing the bandwidth values for x and y.
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options.n: number (optional)
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Number of partitions on the x- and y-axes. Default: `25`.
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options.xMin: number (optional)
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Lower limit of x.
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options.xMax: number (optional)
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Upper limit of x.
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options.yMin: number (optional)
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Lower limit of y.
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options.yMax: number (optional)
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Upper limit of y.
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options.kernel: string|Function
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A string or function to specifying the used kernel function. Default:
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`'gaussian'`.
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Returns
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-------
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out: Object
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Object containing the density estimates (`z`) along grid points (`x` and
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`y` values).
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Examples
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--------
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> var x = [ 1, 3, 5, 6, 21, 23, 16, 17, 20, 10 ];
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> var y = [ 0.40, 0.20, 0.20, 0.15, 0.05, 0.55, 0.6, 0.33, 0.8, 0.41 ];
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> var out = {{alias}}( x, y )
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{ 'x': [1, ... ], 'y': [0.05, ...], 'z': ndarray{Float64Array[0.031, ...] }
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See Also
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--------
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