Please note that the recommended version of Scilab is 2025.0.0. This page might be outdated.
See the recommended documentation of this function
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.
| Report an issue | ||
| << nanmax | Data with Missing Values | nanmeanf >> |