msd
===

mean squared deviation



Calling Sequence
~~~~~~~~~~~~~~~~


::

    y=msd(x)
    y=msd(x,'r') or m=msd(x,1)
    y=msd(x,'c') or m=msd(x,2)




Arguments
~~~~~~~~~

:x real or complex vector or matrix
:



Description
~~~~~~~~~~~

This function computes the mean squared deviation of the values of a
vector or matrix `x`.

For a vector or a matrix `x`, `y=msd(x)` returns in the scalar `y` the
mean squared deviation of all the entries of `x`.

`y=msd(x,'r')` (or, equivalently, `y=msd(x,1)`) is the rowwise mean
squared deviation. It returns in each entry of the row vector `y` the
mean squared deviation of each column of `x`.

`y=msd(x,'c')` (or, equivalently, `m=msd(x,2)`) is the columnwise mean
squared deviation. It returns in each entry of the column vector `y`
the mean squared deviation of each row of `x`.



Examples
~~~~~~~~


::

    x=[0.2113249 0.0002211 0.6653811;0.7560439 0.3303271 0.6283918]
    m=msd(x)
    m=msd(x,'r')
    m=msd(x,'c')




Bibliography
~~~~~~~~~~~~

Wonacott, T.H. & Wonacott, R.J.; Introductory Statistics, fifth
edition, J.Wiley & Sons, 1990.