SKEWNESS Skewness.
    S = SKEWNESS(X) returns the sample skewness of the values in X.  For a
    vector input, S is the third central moment of X, divided by the cube
    of its standard deviation.  For a matrix input, S is a row vector
    containing the sample skewness of each column of X.  For N-D arrays,
    SKEWNESS operates along the first non-singleton dimension.
 
    SKEWNESS(X,0) adjusts the skewness for bias.  SKEWNESS(X,1) is the same
    as SKEWNESS(X), and does not adjust for bias.
 
    SKEWNESS(X,FLAG,DIM) takes the skewness along dimension DIM of X.
 
    SKEWNESS treats NaNs as missing values, and removes them.
 
    See also mean, moment, std, var, kurtosis.

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       doc skewness