How to evaluate pdf for data containing NaN?

I need to evaluate mean, std, pdf for data in matrix (n,1) which has NaN for some rows I used 'nanmean' & 'nanstd' to calculate mean and standard deviation by ignoring nan, but I dont know how to evaluate pdf for that case.

can anyone help me in this case?

Answer 1

[Wayne King]

Why not just remove the NaNs?

   y = x(~isnan(x));

Answer 2

[Youssef Khmou]

hi, if you are evaluating the PDF with hist, then the function automatically ignores the NAN values : or you can remove them like the answer above :

r=rand(100,1);
r(50:60)=NaN;
hist(r);
figure, hist(r(~isnan(r)))

Note : hist is not functioning with "Inf" .

Answer 3

[Raguram]

thanks wayne and youssef! that was helpful