Plotcqq: Difference between revisions

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===Purpose===
===Purpose===


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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.
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====
====INPUTS====


* '''x''' = matrix (column vector) in which the sample data is stored.
* '''x''' = matrix (column vector) in which the sample data is stored.
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* '''translate''' = scalar, axis translation.
* '''translate''' = scalar, axis translation.


====OUTPUTS====
====Outputs====


The return value is a structure with the following fields:
The return value is a structure with the following fields:
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===Examples===
===Examples===


vals = plotcqq(x)
vals = plotcqq(x)


vals = plotcqq(x,'normal')
vals = plotcqq(x,'normal')


vals = plotcqq(x,'beta')
vals = plotcqq(x,'beta')


===See Also===
===See Also===


[[plotedf]], [[plotkd]], [[plotqq]], [[plotsym]]
[[plotedf]], [[plotkd]], [[plotqq]], [[plotsym]]

Latest revision as of 12:33, 9 October 2008

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