validate (version 0.9.2)

sort,validation-method: Aggregate and sort the results of a validation.

Description

Aggregate and sort the results of a validation.

Usage

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

Arguments

x

An object of class validation

decreasing

Sort by decreasing number of passes?

by

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

drop

drop list attribute if the result has a single argument.

...

Arguments to be passed to or from other methods.

Value

A data.frame with the following columns.

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

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. By default the most failed validations and records with the most fails are on the top.

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

See Also

Other validation-methods: aggregate,validation-method, all,validation-method, any,validation-method, barplot,validation-method, check_that, compare, confront, event, plot,validation-method, summary, validation-class, values

Examples

# NOT RUN {
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)


# }