filling missing values with NA

Hey all,

I am trying to compare model output to observations, but some observations are missing, and I need to fill them with NAs in order to make plots.

My observations are in a struct. See the attached photos for a visual of what I'm working with.

I have tried a couple ways to fill missing values with NAs, but nothing has been successful so far - this is what I have tried:

for ii = 1:length(runs_wanted)
    for jj = 1:length(results(ii).point)
        missing = ismissing(observations(ii).point(jj).Hs_select)
        observations(ii).point(jj).Hs_select(missing) = NaN
    end
end

and

for ii = 1:length(runs_wanted)
    for jj = 1:length(results(ii).point)
         if observations(ii).point(jj).Hs_select == ' '
             observations(ii).point(jj).Hs_select == Nan
         end
    end
end

If anyone could help me figure this out I'd really appreciate it!

Thanks all,

Rae

Answer 1

[Rae Taylor-Burns]

Hello!

I have figured out the answer to my own problem - I pre-allocated all my observations as NaN, and then filled in with numbers after. Hope this helps anyone who has a similar issue!

Rae