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# 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.

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