Random picking of adjacent data points

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aa
aa 2020 年 8 月 29 日
コメント済み: aa 2020 年 8 月 30 日
Hi,
May someone help me
I have data in one column and want to randomly pick adjacent 48 data points for 1000 times. For example, we have 10 data point (1, 2,3, 4,5,6,7,8,9,10) and we randomly pick 3 adjacent data points 5 times.
May some one help me ...
Thank you.

採用された回答

Image Analyst
Image Analyst 2020 年 8 月 29 日
Try this:
data = [1:50000]'; % Whatever.....
% Define general parameters for getting the samples:
numElements = size(data, 1)
numAdjacent = 48
numSubsets = 1000
% Now do the iterations to get each of the 1000 subsets.
for k = 1 : numSubsets
% Get the first index at random. Don't get within numAdjacent of the end though!
firstIndex = randi(numElements - numAdjacent + 1);
% Now get the second index which will make the subset have adjacent indexes.
secondIndex = firstIndex + numAdjacent - 1;
% Get one subset of 48 adjacent data samples.
theseData = data(firstIndex : secondIndex);
% Now do something with this set of adjacent elements.
end
  5 件のコメント
Image Analyst
Image Analyst 2020 年 8 月 29 日
You said "I have data set of 50000 enteries and I want to pick 1000 random subsets having 48 adjacent enteries." You did not tell us that you wanted those subsets stored in a 2-D array. Well I'm sure you've already done it by now, but anyway, here is how I created a matrix of 1000 columns and put each subset into its appropriate column:
data = [1:50000]'; % Whatever.....
% Define general parameters for getting the samples:
numElements = size(data, 1)
numAdjacent = 48
numSubsets = 1000
% Create an output array with 1000 columns.
output = zeros(numAdjacent, numSubsets);
% Now do the iterations to get each of the 1000 subsets.
for k = 1 : numSubsets
% Get the first index at random. Don't get within numAdjacent of the end!
firstIndex = randi(numElements - numAdjacent);
% Now get the second index which will make the subset adjacent.
secondIndex = firstIndex + numAdjacent - 1;
fprintf('Subset %d goes from index %d to index %d.\n', k, firstIndex, secondIndex);
% Get one subset of 48 adjacent data samples.
theseData = data(firstIndex : secondIndex);
% Now store this set of adjacent elements into our output array.
output(:, k) = theseData;
end
aa
aa 2020 年 8 月 30 日
Thank you, THis works very well and serve the purpose perfectly.

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その他の回答 (1 件)

madhan ravi
madhan ravi 2020 年 8 月 29 日
編集済み: madhan ravi 2020 年 8 月 29 日
datasets = num2cell(reshape(data(randperm(48e3)), [], 1e3), 1);
%celldisp(datasets)
  3 件のコメント
madhan ravi
madhan ravi 2020 年 8 月 29 日
Edit your question a billion times to each new question.
aa
aa 2020 年 8 月 29 日
Apology, I may not explain what i exactly want ... This may explain my question in better way .....

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