Documentation of visuminmaxdiff
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Function Synopsis
[DataMin, DataMax, DataDiffScaled] = visuminmaxdiff(DataIn, OptMinMax)
Help text
Compute minimum and maximum of provided data and a scaling difference between both
Compute minimum, maximum and difference between both of provided data,
employ some special scalings to the difference value. Additionally,
only a certain percentage of the data points can be used to compute the
maximum, thus excluding the worst points during minimization.
The results are used for scaling the axes limits in a very tight manner
and adding a small (empty) area around the data (preventing data points
to lay exactly on the axes).
All possible exceptions (minimum and maximum are identical, NaN, Inf, or 0
at the same time) are handled here. This function returns even for these
cases "useful" values (DataMin = 0, DataMax = 1, DataDiffScaled = 0.02).
Synatx: [DataMin, DataMax, DataDiffScaled] = visuminmaxdiff(DataIn, OptMinMax)
Input parameters:
DataIn  Vector/Matrix with variables
OptMinMax  (optional) Options (both options may be omitted):
OptMinMax(1): Data2Use4Max, scalar
OptMinMax(2): scalar with scaling value for difference (used for small area of
axes added to maximum/subtracted from minimum value)
if omitted, 0.02 (2%) is used
OptMinMax(3): scalar with scaling value, if no difference between minimum and
maximum (this ensures error free axes scaling)
if omitted, 1e5 is used
 (optional) Structure containing nonstandard options
Output parameters:
DataMin  Scalar containing minimum of whole vector/matrix
DataMax  Scalar containing maximum of whole vector/matrix
DataDiffScaled  Scalar containing scaled difference between minimum
and maximum, checked for zero minimum and scaled accordingly
Examples:
%
>>
See also: visuplot, resplot
CrossReference Information

This function is called by 


This document is part of
version 3.8 of the
GEATbx: Genetic and Evolutionary Algorithm Toolbox for use with Matlab 
www.geatbx.com.
The Genetic and Evolutionary Algorithm Toolbox is
not public domain.
© 19942006 Hartmut Pohlheim, All Rights Reserved,
(support@geatbx.com).