powered by
Utility function to make common tests easier.
is_complete(...)all_complete(...)
all_complete(...)
For is_complete A logical vector that is FALSE for each record that has at least one missing value.
is_complete
FALSE
For all_unique a single TRUE or FALSE.
all_unique
TRUE
When used in a validation rule: a bare (unquoted) list of variable names. When used directly, a comma-separated list of vectors of equal length.
Other cross-record-helpers: contains_exactly(), do_by(), exists_any(), hb(), hierarchy(), is_linear_sequence(), is_unique()
contains_exactly()
do_by()
exists_any()
hb()
hierarchy()
is_linear_sequence()
is_unique()
d <- data.frame(X = c('a','b',NA,'b'), Y = c(NA,'apple','banana','apple'), Z=1:4) v <- validator(is_complete(X, Y)) values(confront(d, v))
Run the code above in your browser using DataLab