Dividing a linear array into 16 or 32 equal parts is not working?

 A{k,j}=profile;
 ndivisions=32;
 N{k,j} = length(A{k,j});
 partnum = floor(1+(0:N{k,j}-1)/N{k,j}*ndivisions);
n1{k,j} = accumarray(partnum(:),A{k,j}(:)==1);
n2{k,j}=n1{k,j}.';
n= accumarray(partnum(:),1);
o=n.';
f{k,j}=n2{k,j}./o;

profile is a linear of consequtives 0 and 1's. When diving it to 16 or 32 equal parts then I am getting this error while stroing the f value to excel sheet. I am not getting all consistent matrices.

Error using cat
Dimensions of matrices being concatenated are not consistent.

Error in cell2mat (line 83)
            m{n} = cat(1,c{:,n});

Error in a_a (line 77)
D=cell2mat(f);

[madhan ravi]

length of your array?

[Zara Khan]

its varying in length. i am applying on this 1000 set of data. For few inages I am getting 1×32 and for few I am getting 1×31 . Hence concatenation not happening when exploring to excel sheet.

[Walter Roberson]

Remember that length(x) is defined as:

if any(size(x)==0)
    length is 0
else
    length is max(size(x))
end

It is not rows and it is not columns: it is whichever dimension is largest.

[Zara Khan]

How can I implement this code? here for each image I am getting 8 different profile which are varying in length and all are one dimensional array of consequtives o's and 1's. I am repeating thsi process over 1000 images. when diving each profile into 32 equal parts then I am not getting consistent matrices.