Scilab Home page | Wiki | Bug tracker | Forge | Mailing list archives | ATOMS | File exchange
Please login or create an account
Change language to: English - Português - Русский - 日本語

Please note that the recommended version of Scilab is 6.0.0. This page might be outdated.
See the recommended documentation of this function

Aide de Scilab >> Statistiques > Data with Missing Values > nanmean

nanmean

mean (ignoring Nan's)

Calling Sequence

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.

Scilab Enterprises
Copyright (c) 2011-2017 (Scilab Enterprises)
Copyright (c) 1989-2012 (INRIA)
Copyright (c) 1989-2007 (ENPC)
with contributors
Last updated:
Thu Oct 02 13:54:33 CEST 2014