How to remove incomplete elements in a vector? using loops

I have an experiment consisting of id numbers (x.y), where x = experiment number and y = part number.

If l have a vector, let's say:

v(id) = [1.3, 2.2, 2.3, 2.1, 1.1]

and want to remove the incomplete ones, namely: in experiment 1 because part 2 is missing

How can l do that and get the output: ans = 2.2, 2.3, 2.1 (it should remain in the same order as the original)

[Walter Roberson]

Why are you not removing the 2.* series as well, since part 42 of that is missing?

[Sandie Nhatien Vu]

Because if there is are 3 id-numbers with the same experiment is complete.

Answer 1

[Guillaume]

This should work:

v = [1.3 2.2 2.3 2.1 1.1];
requiredcount = 3;

experiments = floor(v)';
[uexp, ~, idx] = unique(experiments);
expcount = accumarray(idx, 1); 
exptodiscard = uexp(expcount < requiredcount);
v(ismember(experiments, exptodiscard)) = []

Note that this entirely ignore the part number, it just counts the number of times an experiment is found and if it is less than the required count it is discarded. Therefore, it assumes that part numbers within an experiment are unique.

[Sandie Nhatien Vu]

Thank you! Can i create a function using loops to solve this? That's is required... That's difficult?