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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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Bonferroni correction in planned contrasts
I set up orthogonal dummy coding for 3 planned contrasts. I then used the linear model to observe if the planned contrasts are significant. …