contr.helmert(n, contrasts=TRUE) contr.poly(n, contrasts=TRUE) contr.sum(n, contrasts=TRUE) contr.treatment(n, base=1, contrasts=TRUE)
n rows and k columns,
with k=n-1 if contrasts is TRUE
and k=n if contrasts is FALSE.
The base argument to contr.treatment() allows you to specify
which group is considered the baseline group.
These functions are used for creating contrast matrices
for use in fitting analysis of variance and regression models.
The columns of the resulting matrices contain contrasts
which can be used for coding a factor with n levels.
The returned value contains the computed contrasts.
If the argument contrasts is FALSE then an
additional column of ones is prepended to the matrix.
Note that as from R version 0.62.2, contr.poly returns contrasts
based on orthogonal (rather than raw) polynomials.
contrasts,
glm,
lm.