1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
|
{{alias}}( x, y[, options] )
Two-dimensional kernel density estimation.
Parameters
----------
x: Array<number>
Array of x values.
y: Array<number>
Array of y values.
options: Object (optional)
Function options.
options.h: number (optional)
Array of length two containing the bandwidth values for x and y.
options.n: number (optional)
Number of partitions on the x- and y-axes. Default: `25`.
options.xMin: number (optional)
Lower limit of x.
options.xMax: number (optional)
Upper limit of x.
options.yMin: number (optional)
Lower limit of y.
options.yMax: number (optional)
Upper limit of y.
options.kernel: string|Function
A string or function to specifying the used kernel function. Default:
`'gaussian'`.
Returns
-------
out: Object
Object containing the density estimates (`z`) along grid points (`x` and
`y` values).
Examples
--------
> var x = [ 1, 3, 5, 6, 21, 23, 16, 17, 20, 10 ];
> var y = [ 0.40, 0.20, 0.20, 0.15, 0.05, 0.55, 0.6, 0.33, 0.8, 0.41 ];
> var out = {{alias}}( x, y )
{ 'x': [1, ... ], 'y': [0.05, ...], 'z': ndarray{Float64Array[0.031, ...] }
See Also
--------
|
