Calculate multiple means in table by column indices
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Robin Schäfer
am 6 Mär. 2020
Kommentiert: Robin Schäfer
am 6 Mär. 2020
Hello community,
I want to calculate means of several parameters in my table according to row indices. Here is what my table now looks like:
Subject Phase Time Par1 Par2 Par3 ...
__________________ ___________________ ____________ _____________ ______ _____________ _____________
{'Name1' } {'Phase1' } {'00:17:05'} 1614.7 1.1787 136.33 ...
{'Name2' } {'Phase1' } {'00:17:05'} 496.2 1.091 35.379 ...
{'Name1' } {'Phase2' } {'00:15:05'} 1535.4 1.2158 127.32 ...
{'Name2' } {'Phase2' } {'00:15:05'} 1084.9 1.1678 82.798 ...
... % 98x9 table
The output should be a table:
Phase Time Par1 Par2 Par3 ...
___________________ ____________ _____________ ______ _____________ _____________
{'Phase1' } {'00:17:05'} % mean values of all subjects in Phase1 ...
{'Phase2' } {'00:15:05'} % mean values of all subjects in Phase2 ...
... % 98x9 table
I calculated the mean with varfun of a single parameter (see underneath). However, I think there has to be a simple solution calculating the mean of multiple parameters without using for-loops and merging the output...
NewTable=varfun(@nanmean,Table,'InputVariables','Par1','GroupingVariables','Phase');
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