How to find these features for large number of data?

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Lala0099 2019-3-7

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评论： Kevin Phung 2019-3-10

采纳的回答： Kevin Phung

xyz.m

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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采纳的回答

Kevin Phung 2019-3-7

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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