Largely a wrapper for
accepts a factor,
f, and returns a dummy
nlevels(f)-1 columns (the first
column is dropped by default). Useful whenever one wishes to avoid
the behaviour of
model.matrix of always returning
nlevels(f)-column matrix, either by the
addition of an intercept column, or by keeping one
column for all levels.
An object coercible to
An optional character vector giving the subset of
model.matrix with dummy variables as columns.
1 2 3
Loading required package: Matrix Linear mixed model fit by REML ['lmerMod'] Formula: distance ~ age + (age | Subject) + (0 + dummy(Sex, "Female") | Subject) Data: Orthodont REML criterion at convergence: 442.5444 Random effects: Groups Name Std.Dev. Corr Subject (Intercept) 2.3439 age 0.2264 -0.66 Subject.1 dummy(Sex, "Female") 1.0521 Residual 1.3100 Number of obs: 108, groups: Subject, 27 Fixed Effects: (Intercept) age 16.8643 0.6602
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