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skew
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The skew function computes the skewness which is the displacement left or right of
the mean of the distribution curve defined by a set of data points. A normal distribution is symmetrical
and thus has a skewness of 0. A negative skewness indicates a distribution that is
skewed to the left of the mean value (negatively); a positive skewness indicates a
distribution that is skewed to the right of the mean value (positively). When to use The skew function is used to determine if a distribution of data points is
more to the left of the mean, or more to the right of the mean.
Returns a number corresponding to the the skewness of the distribution
curve defined by a set of data points. Any arguments that cannot be evaluated as numbers
are ignored in the calculation of the skew function.
value.
Here are a number of links to Lambda coding examples which contain this instruction in various use cases.
This example defines the data points in the argument list. The
skew function returns the skewness of the distribution curve
as defined by the data points.
Here are the links to the data types of the function arguments. Here are also a number of links to functions having arguments with any of these data types.
You can always talk with the AIS at aiserver.sourceforge.net.
Name
Description
AIS Types num1 num2... Any number of values Number
Returns:
Examples
Argument Types
Number
Integer
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