Please note that the recommended version of Scilab is 2026.0.0. This page might be outdated.
However, this page did not exist in the previous stable version.
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.
| Report an issue | ||
| << nanmedian | Data with Missing Values | nanstdev >> |