Binding a shadow matrix to a regular dataframe converts it into nabular data, which makes it easier to visualise and work with missing data.
nabular(data, only_miss = FALSE, ...)
data | a dataframe |
---|---|
only_miss | logical - if FALSE (default) it will bind a dataframe with all of the variables duplicated with their shadow. Setting this to TRUE will bind variables only those variables that contain missing values. See the examples for more details. |
... | extra options to pass to |
data with the added variable shifted and the suffix _NA
#> [1] TRUE