Scilab Reference Manual |
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nansum — sum ignoring Nan's
s=nansum(x) s=nansum(x,'r') (or s=nansum(x,1)) s=nansum(x,'c') (or s=nansum(x,2))
This function returns in scalar or vector s the sum of the values (ignoring the NANs) of a vector or matrix x.
For a vector or matrix x, s=nansum(x) returns in scalar s the sum of all the entries (ignoring the NANs) of x.
s=nansum(x,'r')(or, equivalently, s=nansum(x,1)) returns in each entry of the row vector s of type 1xsize(x,'c') the sum of each column of x (ignoring the NANs).
s=nansum(x,'c')(or, equivalently, s=nansum(x,2)) returns in each entry of the column vector s of type size(x,'c')x1 the sum of each row of x (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=nansum(x) m=nansum(x,1) m=nansum(x,2)
Carlos Klimann
Wonacott, T.H. & Wonacott, R.J.; Introductory Statistics, fifth edition, J.Wiley & Sons, 1990.
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