PLS_Toolbox Documentation: plotqq	< plotpct	plotsym >

plotqq

Purpose

Quantile-quantile plot.

Synopsis

vals = plotqq(x,distname,translate)

Description

Makes a quantile-quantile plot of a sample in the input (x) against the optional input (distname). A 45 degree line is also plotted. The larger the deviation from the reference line the more likely it is the input (x) does not come from the distribution (distname).

Inputs:

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

              distname =   string, optional distribution name to assume as the parent distribution for the sample. Default value is 'normal'.

              translate =   scalar, axis translation.

Outputs:

The return value is a structure with the following fields:

          q =   quantile of the named distribution.

          u =   values at which the quantiles were evaluated.

Examples

vals = plotqq(x)

vals = plotqq(x,'normal')

vals = plotqq(x,'beta')

See Also

plotedf, plotkd, plotcqq, plotsym