How to reshape based on like values?

Hello,

I have the following example array:

A = [1 1 1 2 2 3 3 3 3 3 5]

I would like to rehsape it into a matrix based on like values. Since the values are not uniform, I would like toi fill in the rest with Nan. The ultimate goal is to have it look like:

A = 

1       2       3       5
1       2       3       NaN
1       NaN     3       NaN
NaN     NaN     3       NaN
NaN     NaN     3       NaN

Any suggestions?

[Walter Roberson]

Suppose there had been two more 1 after the 3s and before the 5. What result would you want then?

Answer 1

[Simon Chan]

If I guess the logic correctly:

A = [1 1 1 2 2 3 3 3 3 3 5];
N = histcounts(A);
rowA = max(N);
B= unique(A);
colA = length(B);
C = NaN(rowA,colA);
E = N(B);
for k=1:colA
    C(1:E(k),k)=B(k);
end

C =

     1     2     3     5
     1     2     3   NaN
     1   NaN     3   NaN
   NaN   NaN     3   NaN
   NaN   NaN     3   NaN

[Walter Roberson]

This is why I inquired about what should happen if there were more ones later: that information would tell us whether order needs to be preserved.