distribution.m File Reference

Detailed Description

Estimates the univariate distribution of a data vector.

Uses a "Gaussian lump" aka kernel to estimate the distribution of a data vector.

The lump aka kernel centered at each x(i) is given by the formula exp(-(xa-x(i)).^2/(2*wid^2)) .

Definition in file distribution.m.

Go to the source code of this file.

Functions
function	distribution (in x, in no_points, in range, in wid)

Function Documentation

function distribution	(	in	x,
		in	no_points,
		in	range,
		in	wid
	)

Parameters

x	Data vector
no_points=100	Number of points in outputs. Similar to number of bins of a histogram. It is the resolution of the outputs.
range=(autocalculated)	Initial and final x-axis points
wid=str(x)/sqrt(10)	"Lump" width

Returns

[xa, ya]