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, ...)

Arguments

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 recode_shadow() - a work in progress.

Value

data with the added variable shifted and the suffix _NA

See also

Examples

aq_nab <- nabular(airquality) aq_s <- bind_shadow(airquality) all.equal(aq_nab, aq_s)
#> [1] TRUE