CStats:Skewness
The Skewness method computes the statistical skewness of a data sample.
Skewness characterizes the symmetry of the distribution of values in the sample. A skewness value of 0 describes a symmetric distribution. Skewness greater than 0 indicates a positive bias ("positive tail") and skewness less than 0 indicates a negative bias ("negative tail").
nSkewness = CStats:Skewness( CImage, CRect ) nSkewness = CStats:Skewness( CImage ) nSkewness = CStats:Skewness( table ) |
CRect is a bounding rectangle for the CImage object.
table is a 1-dimensional array containing numbers.
On success, returns the skewness.
On failure, returns 0.
Suppose a CImage named I and a CRect named R exist. The following script returns the skewness inside a rectangle on the image:
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-- create a CStats object |
-- specify CImage and CRect to measure |
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-- returns the skewness |
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-- list the results |
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-- when done with S, remove it from memory |
CStats class, Mean, Kurtosis, CImage class, CRect class
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