st_deviation
============

standard deviation (row or column-wise) of vector/matrix entries



stdev
=====

standard deviation (row or column-wise) of vector/matrix entries



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


::

    y=st_deviation(x)
    y=st_deviation(x,'r')
    y=st_deviation(x,'c')
    y=stdev(x)
    y=stdev(x,'r')
    y=stdev(x,'c')




Arguments
~~~~~~~~~

:x real vector or matrix
: :y scalar or vector
:



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

st_deviation computes the "sample" standard deviation, that is, it is
normalized by N-1, where N is the sequence length.

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

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

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



Examples
~~~~~~~~


::

    A=[1,2,10;7,7.1,7.01];
    `st_deviation`_(A)
    `st_deviation`_(A,'r')
    `st_deviation`_(A,'c')




See Also
~~~~~~~~


+ `sum`_ sum of array elements
+ `median`_ median (row median, column median,...) of
  vector/matrix/array entries
+ `mean`_ mean (row mean, column mean) of vector/matrix entries
+ `nanstdev`_ standard deviation (ignoring the NANs).
+ `stdevf`_ standard deviation


.. _nanstdev: nanstdev.html
.. _median: median.html
.. _sum: sum.html
.. _mean: mean.html
.. _stdevf: stdevf.html