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crosstab


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 -- T = crosstab (X, Y)
     Create a cross-tabulation (contingency table) T from data vectors.

     The inputs X, Y must be vectors of equal length with a data type of
     numeric, logical, or char.

     Currently, only 1- and 2-dimensional tables are supported.


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Create a cross-tabulation (contingency table) T from data vectors.



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mad


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 -- mad (X)
 -- mad (X, OPT)
 -- mad (X, OPT, DIM)
     Compute the mean or median absolute deviation of the elements of X.

     The mean absolute deviation is defined as

          MAD = mean (abs (X - mean (X)))

     The median absolute deviation is defined as

          MAD = median (abs (X - median (X)))

     If X is a matrix, compute 'mad' for each column and return results
     in a row vector.  For a multi-dimensional array, the calculation is
     done over the first non-singleton dimension.

     The optional argument OPT determines whether mean or median
     absolute deviation is calculated.  The default is 0 which
     corresponds to mean absolute deviation; A value of 1 corresponds to
     median absolute deviation.

     If the optional argument DIM is given, operate along this
     dimension.

     As a measure of dispersion, 'mad' is less affected by outliers than
     'std'.

     See also: bounds, range, iqr, std, mean, median.


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Compute the mean or median absolute deviation of the elements of X.





