How do I split a table into multiple sub-tables based on the frequency of a variable?

I have an existing table and would like to make subsets of this table conditionally based on how often entries appear in one of the variables. How do I do this?

For instance, if I have table, T, and in variable Var1, entries A, B, C, and D appear with frequency 1,1,2,3, respectively:

>> Var1 = ["A";"B";"C";"C";"D";"D";"D"];
>> Var2 = ["data1";"data2";"data3";"data4";"data5";"data6";"data7"];
>> T = table(Var1,Var2)

T =

    7×2 table

      Var1     Var2  
      ____    _______

       A      "data1"
       B      "data2"
       C      "data3"
       C      "data4"
       D      "data5"
       D      "data6"
       D      "data7"

I would like to obtain table which would include the rows with frequency of 1 from T (A and B), another table with the entries that had a frequency of 2 (C), and a table with entries that had a frequency of 3 (D).

Answer 1

[MathWorks Support Team]

One approach to solve this issue is to use categorical variables, which will allow you to identify the frequencies of each entries and then logical index to create the subset tables. This workflow is demonstrated in the code below:

% Convert Var1 to categorical data
T = convertvars(T, "Var1", 'categorical');

% Set up variables for table generation
counts = countcats(T.Var1);
cats = categories(T.Var1);
uniqueCounts = unique(counts);

% Create tables
splitTables = cell(length(uniqueCounts));
for i = 1:length(uniqueCounts)
    currentCountCats = cats(counts == i);
    splitTables{i} = T(ismember(T.Var1, currentCountCats), :);
end

This results in the following tables:

>> splitTables{1,1}

ans =

    2×2 table

      Var1     Var2  
      ____    _______

       A      "data1"
       B      "data2"

>> splitTables{2,1}

ans =

    2×2 table

      Var1     Var2  
      ____    _______

       C      "data3"
       C      "data4"

>> splitTables{3,1}

ans =

    3×2 table

      Var1     Var2  
      ____    _______

       D      "data5"
       D      "data6"
       D      "data7"

First, you can make a variable categorical when creating the initial table by using 'categorical' or, for an existing table, you can convert the variable to categorical using 'convertvars'. Documentation for each function can be found at the links below:

https://www.mathworks.com/help/releases/R2019a/matlab/ref/categorical.html

https://www.mathworks.com/help/releases/R2019a/matlab/ref/convertvars.html

Once the entries are in a categorical variable, you can use 'categories' to get a list of the categories and 'countcats' to obtain the frequency of each category. Please see the following links for more information on these functions:

https://www.mathworks.com/help/releases/R2019a/matlab/ref/categorical.categories.html

https://www.mathworks.com/help/releases/R2019a/matlab/ref/categorical.countcats.html

Finally, you can use logical indexing to find the categories of a certain frequency and pull the relevant rows from the original table using 'ismember'. More information on logical indexing and 'ismember' can be found here:

https://www.mathworks.com/help/releases/R2019a/matlab/math/array-indexing.html#MatrixIndexingExample-3

https://www.mathworks.com/help/releases/R2019a/matlab/ref/ismember.html

Note that the same process can be followed for numeric variables as well.