PLS_Toolbox Documentation: plotcqq	< pctile2	plotedf >

plotcqq

Purpose

Conditional quantile-quantile plot.

Synopsis

vals = plotcqq(x,distname,translate)

Description

Plots a conditional QQplot of a sample in vector (x). Conditional quantile plots as described in the 1986 Kafadar and Spiegelman article “An alternative to ordinary q-q plots” in Computational Statistics & Data Analysis are also available in this toolbox.

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 = plotcqq(x)

vals = plotcqq(x,'normal')

vals = plotcqq(x,'beta')

See Also

plotedf, plotkd, plotqq, plotsym