CLsqFit:GetCovar
The GetCovar method returns the covariance between fit coefficients. The covariance measures the degree of relationship between the calculated coefficients. A lower value indicates greater significance in the independence between coefficient values.
nCovar = CLsqFit:GetCovar( nIndex1, nIndex2 ) nCovar = CLsqFit:GetCovar( nIndex1, nIndex2, nChannel ) nC1, nC2, nC3, nC4 = CLsqFit:GetCovar( nIndex1, nIndex2 ) |
nIndex1 and nIndex2 are the coefficient indices. Both are numbers between 1 and GetNumCoefs.
nCovar is the returned value of the covariance.
nChannel is an optional argument that specifies the channel for multi-channel (RGB) data.
nC1, nC2, nC3, and nC4 are the covariance values returned for multi-channel data when no channel is specified.
This function returns the covariance between coefficients at two indices, nIndex1 and nIndex2. If multi-channel data has been enabled, then values are returned for all channels unless you specifically specify a channel. The errors of the coefficients can be obtained using GetCoefErr and the coefficients themselves can be obtained using GetCoef.
If using the built-in n-dimensional polynomial basis function with n > 1, then the index of the coefficient must be determined by calculating it from the polynomial dimensions or by using GetPolyCoefIndex.
The following script fits a 2x2 polynomial, then retrieves the covariance between coefficients at 1, 1 and at 2, 2.
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-- create a CLsqFit object |
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-- set 2x2 coefficients to fit a warped plane |
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-- add a point with x = 3, y = 5, z = 5.15 |
-- add more points to the fit |
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-- Fit the polynomial |
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-- fetch the index of the coefficient at 1, 1 |
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-- fetch the index of the coefficient at 2, 2 |
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-- fetch the covariance between 1,1 and 2,2 |
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-- list the covariance |
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