how calculate percentage with a vector and a matrix with nan elements?

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German Preciat Gonzalez
编辑： dpb 2016-8-3
I have a vector V where each element of V is bigger than zero, and a matrix M where each row represent data, each column the source of the data, and each element the number of errors.
A small example will be:
V=[10 5 4 8];
M=[0 2 NaN 4 ;
0 0 3 2 ;
0 NaN 0 1 ;
0 2 NaN 0 ];
I would like to calculate a vector P with the percentage or error without for loops and without consider the part of the matrix with NaN elements such as
P=[((0+0+0+0)/(10+5+4+8))*100 ((2+0+2)/(10+5+8))*100 ((3+0)/(5+4))*100 ((4+2+1+0)/(10+5+4+8))*100]
P=[ 0 17.3913 33.3333 25.9259]

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采纳的回答

dpb
dpb 2016-8-3
编辑：dpb 2016-8-3
>> m=M;m(isnan(m))=0;
>> sum(m)./sum(repmat(V.',1,size(M,2)).*isfinite(M))*100
ans =
0 17.3913 33.3333 25.9259
>>
If you don't need M any longer, can do the substitution in place, of course. It'd be nice if were syntax with M(isfinite(M)) could return an array with a filler value for the missing locations as an alternate syntax to needing the temporary variable.
ADDENDUM
Oh, forgotted about nansum; it's in Statistics Toolbox in R2012b; not sure if got propagated to base product later or not; seems like maybe??? With it, can get rid of explicit temporary step...
nansum(M)./sum(repmat(V.',1,size(M,2)).*isfinite(M))*100

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