PLS_Toolbox Documentation: ktool	< kstest	means >

ktool

Purpose

GUI tool for investigating the kernel density of a sample.

Synopsis

ktool(x)

Description

Investigate density estimates interactively with various kernel density estimates. Kernel densities are calculated using the kernel with an overlaid best-fit density.

INPUTS:

                         x =   matrix (column vector) in which the sample data is stored.

OUTPUTS:

            No outputs.

Examples

Note: If a sample contains all negative values, then some of the overlay distributions will not be drawn as they are not applicable. If only some of the sample is made up of negative values, these values are ignored in obtaining the maximum likelihood estimates and subsequent results.

See Also

cqtool, plotcqq, plotkd, plotqq, qtool