| is_complete {validate} | R Documentation |
Utility function to make common tests easier.
is_complete(...) all_complete(...)
... |
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. |
For is_complete A logical vector that is FALSE for each record
that has at least one missing value.
For all_unique a single TRUE or FALSE.
Other cross-record-helpers:
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))