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Справка Scilab >> Statistics > Data with Missing Values > nanmin (Obsolete)

# nanmin (Obsolete)

min (ignoring Nan's) This function is obsolete, replaced with min

### Syntax

```[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 This function is obsolete and will be removed from Scilab 6.1. Please use `min()` instead.

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.

### History

 Версия Описание 6.0.1 Function tagged as obsolete, to be removed from Scilab 6.1, replaced with min.