How to find these features for large number of data?

2 vues (au cours des 30 derniers jours)
Lala0099
Lala0099 le 7 Mar 2019
Commenté : Kevin Phung le 10 Mar 2019
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.

Réponse acceptée

Kevin Phung
Kevin Phung le 7 Mar 2019
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
  4 commentaires
Lala0099
Lala0099 le 10 Mar 2019
Thank you for helping me! It worked :)
Kevin Phung
Kevin Phung le 10 Mar 2019
youre welcome!

Connectez-vous pour commenter.

Plus de réponses (0)

Catégories

En savoir plus sur Statistics and Machine Learning Toolbox dans Help Center et File Exchange

Community Treasure Hunt

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

Start Hunting!

Translated by