How to bin a variable and create new variables for each bin
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Name = [Alice Bob Cate Doug Ernest Fan]
Age = [23 15 24 32 44 22]
T = table(Name,Age)
I want to create bins for the variable Age: for eg: 0-10, 11-20, 21-30 and 31-40
Then I want to sort the whole table based on the bins.
Thus, I want to get 4 different tables based on the Age bins
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답변 (2개)
Mathieu NOE
2020년 11월 9일
hello
below an example for the first bin, easy to duplicate for the other ones
Name = [{'Alice'} {'Bob'} {'Cate'} {'Doug'} {'Ernest'} {'Fan'}];
Age = [23 5 24 32 44 22];
% I want to create bins for the variable Age: for eg: 0-10, 11-20, 21-30 and 31-40
% Then I want to sort the whole table based on the bins.
% Thus, I want to get 4 different tables based on the Age bins
% bin1
age_range1 = [0 10];
ind = find(Age>=age_range1(1) & Age<age_range1(2))
T = table(Name(ind),Age(ind))
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Eric Sofen
2020년 11월 12일
편집: Eric Sofen
2020년 11월 12일
I'd encourage you to consider whether you really need separate tables for each age bin or whether you can simply add a grouping variable (using discretize) to the table and then select subsets by group when you need to do further calculations. That will all you to be able to iterate over the groups in the table rather than needing to manage a bunch of workspace variables for the different bins.
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Steven Lord
2020년 11월 12일
One way of how to create the grouping variable is to use discretize:
Name = ["Alice"; "Bob"; "Cate"; "Doug"; "Ernest"; "Fan"];
Age = [23; 15; 24; 32; 44; 22];
T = table(Name,Age)
AgeRange = discretize(T.Age, [0 11:10:51], 'categorical');
T.Class = AgeRange
Or if you want an identifier:
gr = discretize(T.Age, [0 11:10:51]);
T.AgeCategory = gr
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