mice.impute.2lonly.mean(y, ry, x, type, ...)
n
FALSE
=missing, TRUE
=observed)n
x p
) of complete
covariates.ncol(x)
identifying
random and class variables. The class variable (only one
is allowed) is coded as '-2'.nmis
with imputations.y
are averaged within the class,
and replicated to the missing y
within that class.
If there are no observed data in the class, all entries of
the class are set to NaN
. This function is
primarily useful for repairing incomplete data that are
constant within the class, but that vary over the classes.