MATLAB: EDITED: Variance when only one observation is not NaN

for looplooploopsnanvariance

EDITED: I think my problem was not clear from the previous example. So, I added a new one below here:
I am trying to calculate a moving variance of the max last 5 years of observations. If remove 'omitnan' then I get NaN for pastvarofA for all the next 5 observations that follows NaN and I don't want that.
I get 0 if there is an observation that is non NaN in the sample that the variance is calculated. But I want to get NaN when that is the case. 
A=[4;NaN;5;5;6;8;9];
pastvarofA=NaN(7,1);
for i=2:5
    for k=i+1:7
        varofA(k,1)=var(A(k-i:k-1), 'omitnan');
    end
end
What I want to get is something like this:
pastvarofA
NaN
NaN
Var of 4 and NaN=NaN
Var of 4, NaN and 5= Var of 4 and 5
Var of 4, NaN, 5 and 5= Var of 4, 5 and 5
Var of 4, NaN, 5, 5 and 6 = Var of 4, 5, 5 and 6
Var of NaN, 5, 5, 6 and 8 = Var of 5, 5, 6 and 8
But what I get is this:
parvarA:
NaN
NaN
Var of 4 and NaN= 0
Var of 4, NaN and 5= Var of 4 and 5
Var of 4, NaN, 5 and 5= Var of 4, 5 and 5
Var of 4, NaN, 5, 5 and 6 = Var of 4, 5, 5 and 6
Var of NaN, 5, 5, 6 and 8 = Var of 5, 5, 6 and 8

Best Answer

A=[1;2;3;NaN;5;5;6];
varofA  = movvar(A,2,'Endpoints','discard')
varofA = 6×1
    0.5000
    0.5000
       NaN
       NaN
         0
    0.5000

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