satisfying: Select records (not) satisfying rules

In validate: Data Validation Infrastructure

Select records (not) satisfying rules

Description

Apply validation rules or validation results to a data set and select only those that satisfy all or violate at least one rule.

Usage

satisfying(x, y, include_missing = FALSE, ...)

violating(x, y, include_missing = FALSE, ...)

## Default S3 method:
violating(x, y, include_missing = FALSE, ...)

lacking(x, y, ...)

Arguments

x	A data.frame
y	a validator object or a validation object.
include_missing	Toggle: also select records that have NA output for a rule?
...	options passed to confront

Value

For satisfying, the records in x satisfying all rules or validation outcomes in y. For violating the records in x violating at least one of the rules or validation outcomes in y

Note

An error is thrown if the rules or validation results in y can not be interpreted record-by record (e.g. when one of the rules is of the form mean(foo)>0).

Examples

rules <- validator(speed >= 12, dist < 100)
satisfying(cars, rules)
violating(cars, rules)

out <- confront(cars, rules)
summary(out)
satisfying(cars, out)
violating(cars, out)

validate documentation built on July 4, 2024, 9:07 a.m.