Info

此问题已关闭。 请重新打开它进行编辑或回答。

How to perform repeated calculations on a different bin

2 次查看（过去 30 天）
Charlie Finnie
Charlie Finnie 2016-10-25
关闭： MATLAB Answer Bot 2021-8-20
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
  2 个评论
Adam
Adam 2016-10-25
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 2016-10-25
How are you storing each of these bin data? (Arrays/ cells/ structures)

此问题已关闭。

回答（2 个）

Steven Lord
Steven Lord 2016-10-25
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 2016-10-25
编辑：Chaya N 2016-10-25
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);

此问题已关闭。

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by