Imputes the mean of within the class
mice.impute.2lonly.mean(y, ry, x, type, wy = NULL, ...)Vector to be imputed
Logical vector of length length(y) indicating the
the subset y[ry] of elements in y to which the imputation
model is fitted. The ry generally distinguishes the observed
(TRUE) and missing values (FALSE) in y.
Numeric design matrix with length(y) rows with predictors for
y. Matrix x may have no missing values.
Vector of length ncol(x) identifying random and class
variables. The class variable (only one is allowed) is coded as -2.
Logical vector of length length(y). A TRUE value
indicates locations in y for which imputations are created.
Other named arguments.
Vector with imputed data, same type as y, and of length
sum(wy)
Observed values in 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.
Other univariate 2lonly functions: mice.impute.2lonly.norm,
mice.impute.2lonly.pmm