validate (version 1.1.5)

aggregate,validation-method: Aggregate validation results

Description

Aggregate results of a validation.

Usage

# S4 method for validation
aggregate(x, by = c("rule", "record"), drop = TRUE, ...)

Value

By default, a data.frame with the following columns.

keys	If confront was called with key=
npass	Number of items passed
nfail	Number of items failing
nNA	Number of items resulting in NA
rel.pass	Relative number of items passed
rel.fail	Relative number of items failing
rel.NA	Relative number of items resulting in NA

If by='rule' the relative numbers are computed with respect to the number of records for which the rule was evaluated. If by='record' the relative numbers are computed with respect to the number of rules the record was tested agains.

When by='record' and not all validation results have the same dimension structure, a list of data.frames is returned.

Arguments

x

An object of class validation

by

Report on violations per rule (default) or per record?

drop

drop list attribute if the result is list of length 1

...

Arguments to be passed to or from other methods.

See Also

Other validation-methods: all,validation-method, any,validation-method, barplot,validation-method, check_that(), compare(), confront(), event(), names<-,rule,character-method, plot,validation-method, sort,validation-method, summary(), validation-class, values()

Examples

data(retailers)
retailers$id <- paste0("ret",1:nrow(retailers))
v <- validator(
    staff.costs/staff < 25
  , turnover + other.rev==total.rev)

cf <- confront(retailers,v,key="id")
a <- aggregate(cf,by='record')
head(a)

# or, get a sorted result:
s <- sort(cf, by='record')
head(s)