Remove rows based on length of column value

I have a matrix , 1531*3 double.

At a first column, numbers represent same particles from 1 to 14. I have 14 particles and each of them has different time points(second column) with intensity value(third column).

I'd like to take only particles which the number of time points is over 2, and make a new matrix. In this example, I need to remove rows of 14th particle and make the new matrix which doesn't have 14th particle, because it has only 2 time points. Should I use 'loop'?

for j = 1:14
    if length(find(A(:,1)==j)) > 2
      
    
    end
end

Answer 1

[Rik]

Instead of implicit expansion (which can take a lot of memory for bigger arrays), you can use histogram counts:

S=load('practice.mat');
A=S.A;

c=histcounts(A(:,1),numel(unique(A(:,1))));
remove_ID=find(c<=2);
L=ismember(A(:,1),remove_ID);
B=A(~L,:);%keep only IDs with >2 time points

[Jaehwi Bong]

Thank you very much, I haven't thought about using the histogram! It seems to work well.

Quick question: If I want to check whether it works well, what can I do for that?

number=unique(B(:,1));
tn=length(unique(B(:,1)));

for j=1:tn
        B([length(find(B(:,1)==j))>2],:)=[];
end

[Rik]

I have no clue what you aim to do with that code. It looks like you want to confirm my code works as expected by comparing it to a for-loop. If that is what you want your code in the question is actually closer:

B=A;
for j = 1:14
    match=find(B(:,1)==j);
    if length(match) <= 2
        B(match,:)=[];
    end
end

Answer 2

[Joel Handy]

I think this code will do what you want. It will make a vector with the same number of rows as A, with each element being the number of times that ID shows up in ID column, and then delete all of the rows where the ID count is less than or equal to 2. It takes advantage of implicit expansion to do this.

numTimes = sum(A(:,1)==A(:,1)');
A(numTimes<=2,:) = [];

[Jaehwi Bong]

Thank you very much. It was helpful :)