Plotcqq: Difference between revisions
Jump to navigation
Jump to search
imported>Jeremy |
imported>Jeremy |
||
| Line 29: | Line 29: | ||
===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')