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.

keysIf confront was called with key=
npassNumber of items passed
nfailNumber of items failing
nNANumber of items resulting in NA
rel.passRelative number of items passed
rel.failRelative number of items failing
rel.NARelative 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

Run this code

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)


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