nanmin
======

min (ignoring Nan's)



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


::

    [m,index]=nanmin(x)
    [m,index]=nanmin(x,'r')
    [m,index]=nanmin(x,'c')




Arguments
~~~~~~~~~

:x real or complex vector or matrix
:



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

This function gives for a real or a numerical matrix `x` his largest
element `m` (but ignoring the NANs).

For `x`, a numerical vector or matrix, `m=nanmin(x)` returns in scalar
`m` the largest element of `x` (ignoring the NANs). The form
`[m,index] =nanmin(x,orient)` gives in addition of the value of the
largest element of `x` (ignoring the NANs) in scalar `m`, the index of
this element in `x`, as a 2-vector.

`m=nanmin(x,'r')` gives in the 1xsize(x,2) matrix `m` the largest
elements (ignoring the NANs) of each column of `x`. If the form
`[m,index]=nanmin(x,'r')` is used, the elements of the 1xsize(x,2)
matrix index are the indexes of the largest elements (ignoring the
NANs) of each column of x in the corresponding column.

m=nanmin(x,'c') gives in the size(x,2)x1 matrix m the largest elements
(ignoring the NANs) of each row of x. If the form
[m,index]=nanmin(x,'c') is used, the elements of the size(x,2)x1
matrix index are the indexes of the largest elements (ignoring the
NANs) of each row of x in the corresponding row.

In Labostat, NAN values stand for missing values in tables.



Examples
~~~~~~~~


::

    x=[0.2113249 %nan 0.6653811;0.7560439 0.3303271 0.6283918]
    m=nanmin(x)
    m=nanmin(x,'r')
    m=nanmin(x,'c')




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

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