Given a BNDataset, return a copy of the original object where
the raw.data consists only in the observations that do not contain missing values.
Usage
complete(x, complete.vars = seq_len(num.variables(x)))
# S4 method for BNDataset
complete(x, complete.vars = seq_len(num.variables(x)))Arguments
- x
a
BNDataset.- complete.vars
vector containing the indices of the variables to be considered for the subsetting; variables not included in the vector can still contain
NAs.
Value
a copy of the original BNDataset containing only complete observations.
Details
Non-missingness can be required on a subset of variables (by default, on all variables).
If present, imputed data and bootstrap samples are eliminated from the
new BNDataset, as using this method *after* using impute
or bootstrap, there may likely be a loss of correspondence between
the subsetted raw.data and the previously generated imputed.data
and bootstrap samples.