Dividing set of data into groups and evaluating the mean of each group
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Hi. Can any body help me with the following please?. I have a set of random data like x=[-3,-10,-2,...,-7] which is up to let say 5000 values. I need to divide x into set of groups x1, x2, x3, ...,xn, where each group of x has 50 elements. Then I need to evaluate the mean of each group and compare it with the mean of the next group. Thank you in advanced.
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Respuestas (3)
KSSV
el 13 de Feb. de 2018
A = rand(5000,1) ;
B = reshape(A,50,[]) ;
mean_B = mean(B,2) ;
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Akira Agata
el 13 de Feb. de 2018
Another way:
x = rand(5000,1);
g = repelem(1:100,50)';
avg = splitapply(@mean,x,g);
Image Analyst
el 13 de Feb. de 2018
I'm not sure how you're defining/selecting the values to go into each group, but once you have the groups defined, then you can use grpstats() if you have the Statistics and Machine Learning Toolbox.
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