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Results tagged with contrasts
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user 3459
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']
4
votes
Linear model with constraints
built-in function:
myContrasts <- list(factor1=contr.sum(length(levels(factor1))),
factor2=contr.sum(length(levels(factor2))))
model1 <- lm(Rate ~ factor1 + factor2, data=myData, contrasts …
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