Calculating average and standard deviation for element correction factor from excel file

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I'm importing data from an excel file. I need to take the average of every of every serial number, then calculate the standard deviation percentage of every serial number. Any ideas how i could do that? Thank you

Accepted Answer

fred  ssemwogerere
fred ssemwogerere on 7 Feb 2020
Hello, this should do nicely;
% Assuming your spreadsheet file is in the current (working) Matlab folder
optns=detectImportOptions('file.xlsx'); % replace the input "file.xlsx" here with the name of your file and extension
% Set variables to import from your file and import as table
optns.SelectedVariableNames={'SerialNumber','RawCounts'};
T=readtable('file.xlsx',optns); % replace "file.xlsx" with the name of your file
% Determine unique serial numbers and corresponding indices
% The unique serial numbers are stored in "C".
[Z,mX,mY]=unique(T.SerialNumber);
% Compute the mean for each unique serial number
avg=accumarray(mY,T.RawCounts,[],@mean);
% Compute the standard deviation for each unique serial number
stdev=accumarray(mY,T.RawCounts,[],@std);
% To calculate the percentage standard deviation or relative deviation, you
% multiply each standard deviation by 100, and divide it by its
% corresponding mean value in array; "avg".
percentdev=(stdev.*100)./avg;
  4 Comments
Lucas Acuna Scafati
Lucas Acuna Scafati on 11 Feb 2020
Thank you very much that worked perfectly.
One more question...
What is "C" or by that did you mean "Z"?
% The unique serial numbers are stored in "C".
[Z,mX,mY]=unique(T.SerialNumber);

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