Plotcqq
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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')