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In linear models and particularly in ANOVA, a contrast is a linear combination of parameters with coefficients summing up to zero. It is used to test the corresponding null hypothesis. Contrasts are especially often used with categorical predictors (factors) to make comparisons among the groups (categories). [See also tag 'categorical-encoding']

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Setting contrasts in lme4: contr.treatment vs contr.sdif [closed]

Based on what I have read so far, non-orthogonal contrasts seem to be shunned in ANOVA or regression, so I am wondering if I should avoid using non-orthogonal contrasts like contr.sdif or contr.treatment …
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