Is there a more efficient way to do many ANOVAs

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SeanC
SeanC 2017-7-6
I want to know if there is a vectorised implementation for doing many ANOVAs.
At the moment I have time series data, with 600 time points. I want to use the same grouping matrix for all 600 of these Y values. Is there a more efficient way of doing this than using a for loop?
e.g. NTimePoints = 600; NExamples = 250; Y = rand(NExamples ,NTimePoints ); Groups = round(rand(NExamples,1)*5)+1;
for t=1:NTimePoints
anova1(Y(:,t),Groups,'off'); end
Thanks!

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