Plotcqq: Difference between revisions
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===Description=== | ===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. | 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. | ====INPUTS==== | ||
* distname = string, optional distribution name to assume as the parent distribution for the sample. Default value is 'normal'. | * '''x''' = matrix (column vector) in which the sample data is stored. | ||
* translate = scalar, axis translation. | * '''distname''' = string, optional distribution name to assume as the parent distribution for the sample. Default value is 'normal'. | ||
OUTPUTS | * '''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: | ||
* q = quantile of the named distribution. | * '''q''' = quantile of the named distribution. | ||
* u = values at which the quantiles were evaluated. | * '''u''' = values at which the quantiles were evaluated. | ||
===Examples=== | ===Examples=== | ||
vals = plotcqq(x) | vals = plotcqq(x) | ||
Revision as of 20:57, 2 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')