Define data list with a determine data distribution

Hi all,

I would like to use a min data distribution in my code. For example: I define each data positions are 500 or more. So when the first point difference is less than 700 with the second point, the second point will be deleted and the third point become the second one and so on. The results that I want like this:

mindist = 700; %minimum treshold for Data1

Data1 = [67106; 67732; 117467; 118467; 118967];

Data2 = [759.6421; 23.3729; 232.5324; 23.3729; 231.5324];

And I want the results to become:

Data1 = [67106; 117467; 118467];

Data2 = [759.6421; 232.5324; 23.3729];

Thank you, hope to hear your reply soon

Answer 1

[Joe Vinciguerra]

% Generate some random data that's similar to yours
Data1 = sort(randi(1e4,[10,1])); % making sure the data is sorted
Data2 = randi(1e4, [10,1])/10;

% Display the starting data
[Data1, Data2]

ans = 10×2

1.0e+03 * 0.1480 0.3258 0.5420 0.8107 1.2350 0.4113 2.2130 0.9183 2.4090 0.4879 5.1600 0.1724 6.4910 0.2494 7.7980 0.4882 9.7600 0.1659 9.9870 0.5157

% Set the mindist
mindist = 700;

% Loop through all the data, starting with the first number
i = 1;
% While we are not at the end of the data set ...
while i < numel(Data1)
    % ...and while the distance to the next item is too small
    while (i < numel(Data1)) && (Data1(i+1) - Data1(i) < mindist)
        % Remove the next item from the data set
        Data1(i+1) = [];
        Data2(i+1) = [];
    end
    % Go to the next item in the data set
    i = i + 1;
end

% Display the results
[Data1, Data2]

ans = 7×2

1.0e+03 * 0.1480 0.3258 1.2350 0.4113 2.2130 0.9183 5.1600 0.1724 6.4910 0.2494 7.7980 0.4882 9.7600 0.1659