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How to perform repeated calculations on a different bin

조회 수: 1 (최근 30일)
Charlie Finnie
Charlie Finnie 2016년 10월 25일
마감: MATLAB Answer Bot 2021년 8월 20일
I have split my data into bins (5 million year spacing through time) and then performed calculations to remove NaNs, calculate the mean and calculate the standard deviation of the first bin (0-5million years).
I was just wandering if there is an easy way of repeating all of these calculations for the remaining bins (5-10myr, 10-15myr....etc)?
Thanks Charlie
  댓글 수: 2
Adam
Adam 2016년 10월 25일
Depends how exactly you have split your data up, but assuming you put your code in a function then you can apply that function to any bin you choose or all bins in succession.
Chaya N
Chaya N 2016년 10월 25일
How are you storing each of these bin data? (Arrays/ cells/ structures)

답변 (2개)

Steven Lord
Steven Lord 2016년 10월 25일
Use discretize to bin your data then use the output from discretize as the subs input to accumarray.
% Sample data
n = 10;
x = n*rand(100, 1);
y = (1:100).';
% Bin it and accumulate the data in each bin
bin = discretize(x, 0:n);
A1 = accumarray(bin, y, [n 1], @mean);
% Accumulate the data in the bins using a FOR loop
A2 = zeros(n, 1);
for k = 1:n
A2(k) = mean(y(bin == k));
end
% These two results should be the same
[A1, A2, A1-A2]

Chaya N
Chaya N 2016년 10월 25일
편집: Chaya N 2016년 10월 25일
Put all the bin data into a cell array and use cellfun
all_bins_raw = {bin1,bin2,....,binN}; % put all raw data in one cell array
all_bins = cellfun(@(x) x(~isnan(x)),all_bins_raw,'UniformOutput',0); % Remove NaN's
bin_means = cellfun(@mean, all_bins);
bin_sds = cellfun(@std, all_bins);

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