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.