Utility function to make common tests easier.
is_complete(...)all_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 a duplicate.
is_complete
FALSE
For all_unique a single TRUE or FALSE.
all_unique
TRUE
Other cross-record-helpers: exists_any(), is_unique()
exists_any()
is_unique()
# NOT RUN { 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)) # }
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