Plotcqq: Difference between revisions
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==== | ====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==== | ||
The return value is a structure with the following fields: | The return value is a structure with the following fields: | ||
Revision as of 17:34, 3 September 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')