How to find these features for large number of data?

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Lala0099
Lala0099 2019-3-7
评论： Kevin Phung 2019-3-10
Dear People,
I have 80 datasheets, and within each datasheet I have 3 different group. In each group I have 400 measurements.
I have to measure the root mean square value, Standard deviation, skewness etc.
But I have not got a clue how to do it for these many data point.
I started by transforming each coloumn into an array ( transposed it) and then managed to get rms. But I am wondering if there is a more efficient way of doing it.
If you guys have any suggestions please let me know.
My code:
X = transpose(table2array( reachandretrieve00(:,3)));
r = rms(X)
I have attached one of my datasheets.

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Kevin Phung
Kevin Phung 2019-3-7
i'm not sure how you're storing each datasheet, but if they are all in cell arrays (1 x 80 cell array, where each cell array is a datasheet):
rms_val = [];
for i = 1:numel(datasheets) % for each datasheet
for j = 1:size(datasheets{i},2) % for each column in each datasheet
rms_val(i,j) = rms(datasheets{i}{:,j}) %for each datasheet, store rms value into a row vector
end
end
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