sort data by their absolute difference to the first column in matlab

To sort data in Matlab based on the absolute difference of each row to the first column, you can use the following code:

main.m
% create sample data
data = [2 3 1; 6 5 4; 3 1 2; 7 6 5];

% calculate absolute difference of each row to the first column
diff = abs(data(:,1) - data(1,1));

% sort data based on the absolute difference
[~,idx] = sort(diff);
sorted_data = data(idx,:)
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In this code, we first define a sample data matrix with 4 rows and 3 columns. Then, we calculate the absolute difference of each row to the first column by subtracting the first element of each row from the first element of the first row, and taking the absolute value. We then sort the rows of the data matrix based on the calculated absolute difference using the sort function. Finally, we use the sorted indices to rearrange the rows of the data matrix and assign the sorted matrix to a new variable called sorted_data.