nanmean - mean (ignoring Nan's)
val : real or complex vector or matrix
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.
x=[0.2113249 %nan 0.6653811;0.7560439 0.3303271 0.6283918] m=nanmean(x) m=nanmean(x,1) m=nanmean(x,2)
Wonacott, T.H. & Wonacott, R.J.; Introductory Statistics, fifth edition, J.Wiley & Sons, 1990.