Hi, I would like to test the impact of a treatment of some variable using
regression (e.g. lm(var ~ trt + cov)). However I only have four observations
per factor level. Is it still possible to apply a regression with such a small
sample size. I think that i should be difficult to correctly estimate
variance.Do you think that I rather should compute a non-parametric test such
as Kruskal-Wallis? However I need to include covariables in my models and I am
not sure if basic non-parametric tests are suitable for this. Thanks for any
suggestion.
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Mode, hifi, maison,… J'achète malin. Je compare les prix avec
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