R: Test for completeness of records

is_complete {validate} | R Documentation

## Test for completeness of records

### Description

Utility function to make common tests easier.

### Usage

    is_complete(...)

    all_complete(...)

### Arguments

`...` | 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.

### Value

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`.

### See Also

Other cross-record-helpers: `contains_exactly()`, `do_by()`, `exists_any()`, `hb()`, `hierarchy()`, `is_linear_sequence()`, `is_unique()`

### Examples

    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))

[Package validate version 1.1.1 Index]