| complete {bnstruct} | R Documentation |
Subset a BNDataset to get only complete cases.
Description
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 signature 'BNDataset'
complete(x, complete.vars = seq_len(num.variables(x)))
Arguments
x |
a |
complete.vars |
vector containing the indices of the variables to be considered
for the subsetting; variables not included in the vector can still contain |
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.
Value
a copy of the original BNDataset containing only complete observations.
[Package bnstruct version 1.0.15 Index]