Vectorizing a loop calculation
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Hi,
Is it possible to convert the loop below into a vector calculation? Thank you.
dataset=table();
dataset.value=rand(30,1);
dataset.time=sort(rand(30,1));
timefilter=dataset.time-0.2;
result1=repmat(NaN,height(dataset),1);
result2=repmat(NaN,height(dataset),1);
result3=repmat(NaN,height(dataset),1);
%Loop:
for row=5:height(dataset)
startrow=min(find(dataset.time >=timefilter(row)));
result1(row,1)=nansum(dataset.value(startrow:row));
result2(row,1)=length(dataset.value(startrow:row));
result3(row,1)=nanstd(dataset.value(startrow:row)) ;
end
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Meade
2018년 2월 26일
The sum, length, and std calculations are so trivially fast that it might be fastest to calculate them for the entire array, then just sort. If this doesn't seem unreasonable for your use, I would use bsxfun or arrayfun on your data, then sort. That would be fastest I think.
That would get rid of the loop entirely.
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