Hi All, I am doing linear mixed model analysis for my multi-location experiment using R package "lme4". I just wonder whether I should check my data first to see whether they meet the three assumptions of ANOVA, that is, independence, normality and homogeneity. I saw a lot of examples and the manual of lme4, but no one did data check first. In my experiment, the assumption of homogeneity usually cannot be met. I do not know whether it will affect the result a lot or not.
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