Scilab Home page | Wiki | Bug tracker | Forge | Mailing list archives | ATOMS | File exchange
Change language to: Français - Português - 日本語 - Русский
Scilab Help >> Statistics > Data with Missing Values > nanmean

# nanmean

mean (ignoring Nan's)

### Syntax

m=nanmean(val)
m=nanmean(val,'r') (or m=nanmean(val,1))
m=nanmean(val,'c') (or m=nanmean(val,2))

### Arguments

val

real or complex vector or matrix

### Description

This function returns in scalar m the mean of the values (ignoring the NANs) of a vector or matrix val.

For a vector or matrix val , m=nanmean(val) or m=nanmean(val,'*') returns in scalar m the mean of all the entries (ignoring the NANs) of val.

m=nanmean(val,'r') (or, equivalently, m=nanmean(val,1)) returns in each entry of the row vector m of type 1xsize(val,'c') the mean of each column of val (ignoring the NANs).

m=nanmeanf(val,'c') (or, equivalently, m=nanmean(val,2)) returns in each entry of the column vector m of type size(val,'c')x1 the mean of each row of val (ignoring the NANs).

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

### Examples

x=[0.2113249 %nan 0.6653811;0.7560439 0.3303271 0.6283918]
m=nanmean(x)
m=nanmean(x,1)
m=nanmean(x,2)

### Bibliography

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