Creating subsets from a matrix and averaging them separately

I have a 43,692x1 matrix that I need to divide into subsets of 6x1 every 6 rows (i.e. a total of 7,282 subsets). In other words, I need to divide the original matrix every 6 rows. Then, I need to take the average of the three smallest values from each subset. Finally, I would need to average all the resulting values from the last operation to obtain a single value at the end. What would you suggest is the best approach for this challenge?

Answer 1

[Image Analyst]

Sounds like homework, so I'll just give you the steps: reshape into 6 columns, sort the rows horizontally, extract the left most 3 columns to get the smallest 3 numbers in each row. Take the mean:

reshapedData = reshape(data, [......]);
sortedData = sort(reshapedData, ......., '.....');
result = mean(sortedData(:,3), 2);

See if you can finish it - you're a smart engineer so I think you can do it.

[Richard Joisce]

"See if you can finish it - you're a smart engineer so I think you can do it"

AKA "I cba to work it out properly".

An indredibly unhelpful response for future readers smh

[Image Analyst]

Perhaps this reply would have offered additional help.

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