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CLsqFit:GetSampleMean
The GetSampleMean method returns the mean
value of points in the sample for the n-th independent
variable.
Syntax
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nMean = CLsqFit:GetSampleMean()
nMean = CLsqFit:GetSampleMean( nDimension )
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nDimension specifies
the basis dimension (index of the independent variable). If not
specified, 1 is assumed for a 1-dimensional fit.
nMean is the sample
mean for the specified nDimension or the only dimension.
Remarks
The sample means may be useful to know, especially
when the basis function fits about the mean rather than about the
origin (see
Basis Functions). A table containing the sample
means is passed to a user-defined basis function declared in the
script, but the function does not have to use them to fit about the
mean. The built-in basis functions fit about the mean
automatically. In all cases,. the sample means are calculated even
if you do not use them. You should not use the sample means in your
calculations; The basis function determines whether the fit is done
about the mean or the origin, so Mira automatically handles the
sample means when you call
Eval or other methods.
Example
The following script adds points, fits a line, and
then lists the sample mean. If there were two independent
variables, like fitting a surface to x and y, then you could query
GetSampleMean(1) and GetSampleMean(2) to get the means in the x and
y data.
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L = new_lsqfit()
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L:SetNumCoefs( 2 )
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L:AddPt( -3, -1 )
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L:AddPt( 4, 12 )
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L:AddPt( -1, 3 )
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L:AddPt( 5, -10 )
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L:AddPt( 6, 16.5 )
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L:AddPt( 12, 29 )
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L:AddPt( 3, 10.7 )
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L:AddPt( 5, 15.3 )
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L:AddPt( 2, 9.3 )
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L:AddPt( 8, 20.8 )
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L:AddPt( 4, 12.7 )
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L:AddPt( 5, 15.3 )
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L:AddPt( 3, 11.3 )
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L:AddPt( 11, 27.1 )
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L:Fit()
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m = GetSampleMean()
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Printf( "Mean x = %lg\n", m )
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Related Topics
CLsqFit class
SetBasisFunc
GetBasisDim
Mira Pro x64 Script User's Guide, v.8.76 Copyright Ⓒ 2024
Mirametrics, Inc. All Rights Reserved.
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