nanmean — mean (ignoring Nan's)
m=nanmean(val) m=nanmean(val,'r') (or m=nanmean(val,1)) m=nanmean(val,'c') (or m=nanmean(val,2))
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.