Transferring/Copying Data between Cell Arrays, Skip NaN values: Updated Code

I have the following code

for i = [1 10 100 2 20 200 3 30 300 4 40 400 5 50 500 6 60 600 7 70 700 8 80 800]
    [row,col]=cellfun(@(s) find(s==i),gait_events_cut_inter,'uni',false);
    %row = cellfun(@(s) round(mean(s)),row,'uni',false);
    %or
    row = cell2mat(cellfun(@(s) round(mean(s)),row,'uni',false));
    
    
    order = floor(single(log(i)./log(10)));
    if order==2
        i=i/100;
        e=3;
    elseif order ==1
         i=i/10;
        e=2;
    else
        i=i;
        e=1;
    end
        
    for j=1:3
        gait_events_inter{j}{i,1}(e,1)=row(j);
    end
end

Everything works up to saving the data in gait_events_inter. So, I have roww with 3 values (either as an array or cell array - what ever makes the transfering easier) and I was able to copy those 3 values to the corresping outernested cell 1,2,3, on the innernested cell on row i and row e in the innermost array to create a cell array similar to:

• But, there will be some cases like row 2 or 7 in the image, where roww will be NaN for the higher order i, but in those cases, I do not want to transfer the NaN values. How do I check for that? I was thinking of using e, if higher than 1, and NaN, to skip (contine).

Answer 1

[ErikaZ]

for i = [1 10 100 2 20 200 3 30 300 4 40 400 5 50 500 6 60 600 7 70 700 8 80 800]
    [row,col]=cellfun(@(s) find(s==i),gait_events_cut_inter,'uni',false);
    %row = cellfun(@(s) round(mean(s)),row,'uni',false);
    %or
    row = cell2mat(cellfun(@(s) round(mean(s)),row,'uni',false));
    
    order = floor(single(log(i)./log(10)));
    if order==2
        i=i/100;
        e=3;
    elseif order ==1
         i=i/10;
        e=2;
    else
        i=i;
        e=1;
    end
        
    for j=1:3
        
        if e>1 & isnan(row(j))
            continue
        else
        gait_events_inter{j}{i,1}(e,1)=row(j);
    end
end