subtract rows under a condition

I am trying to create a data by subtracting rows that meet a condition. A sample of my data is this

dataA = 
id  value
1  1
1  2
1  3
1  4
2  5
2  6
2  7
3  8
3  9
3  10
4  11
4  12
4  13
5  14
5  15
5  16

I have a vector this

my_vector = 
1
3
4
1

With data A, I would like to subtract rows that are only included in my_vector. In my_vector, there are two 1 so I would like to subtract rows with id 1 twice. So, here is what I want to have

id  value
1  1
1  2
1  3
1  4
3  8
3  9
3  10
4  11
4  12
4  13
1  1
1  2
1  3
1  4

Answer 1

[JESUS DAVID ARIZA ROYETH]

solution:

dataA = [1  1
1  2
1  3
1  4
2  5
2  6
2  7
3  8
3  9
3  10
4  11
4  12
4  13
5  14
5  15
5  16];
my_vector =[ 1
3
4
1];
[x,~]=find(bsxfun(@eq, dataA(:,1),my_vector'));
newdataA=dataA(x,:);

[Boram Lim]

Thank you. Since my data is "table", I think it does not work. How should do it with table format?

[Boram Lim]

    dta_c1 = dta{:,[1]};
    [kk,~]=find(bsxfun(@eq,dta_c1,sampled_id'));

Error using bsxfun Requested 7316521x613023 (4177.2GB) array exceeds maximum array size preference. Creation of arrays greater than this limit may take a long time and cause MATLAB to become unresponsive. See array size limit or preference panel for more information.

it is what I got. can you help me?

[JESUS DAVID ARIZA ROYETH]

sorry, if is table then :

[x,~]=find(bsxfun(@eq, table2array(dataA(:,1)),my_vector'));
newdataA=dataA(x,:);

[Guillaume]

There is never any raison to use table2array to extract a column from a table, table2array(dataA(:, 1)) is a roundabout way of getting:

dataA{:, 1}

or using . indexing:

data.id

Overall, a simpler version for R2016b or later:

[rows, ~] = find(dataA.id == my_vector');
newdataA = dataA(rows, :);

[Boram Lim]

Since the size of data is too large, there is such an error

Out of memory. Type HELP MEMORY for your options.

Error in Model01_interpolated_May1 (line 70) [rows, ~] = find(dta2.decision_id == sampled_id01');

Answer 2

[Guillaume]

Since the size of data is too large

Then you'll have to use a loop, explicitly or with arrayfun:

newdataA = arrayfun(@(v) dataA(ismember(dataA.id, v), :), my_vector, 'UniformOutput', false);
newdataA = vertcat(newdataA{:})