Hello all,

I have one question about how to increase the performance speed for running
multiple univariate Anova.

I have multiple observations for a group of subjects and want to run
univariate Anova using car:Anova with type 3 sum of square. So, the current
implementation is using apply() function. However, the number of
observations are very large (around 100,000). So, I am wondering whether
there is another way to do this without using any loop.

Any idea or suggestion will be very helpful.

Thank you in advance.


-- 
Sungeun Kim

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