names: Extract or set names

In validate: Data Validation Infrastructure

Extract or set names

Description

Extract or set names

When setting names, values are recycled and made unique with make.names

Get names from confrontation object

Usage

## S4 replacement method for signature 'rule,character'
names(x) <- value

## S4 method for signature 'expressionset'
names(x)

## S4 replacement method for signature 'expressionset,character'
names(x) <- value

## S4 method for signature 'confrontation'
names(x)

Arguments

x	An R object
value	Value to set

Value

A character vector

See Also

Other expressionset-methods: as.data.frame,expressionset-method, as.data.frame(), created(), description(), label(), meta(), origin(), plot,validator-method, summary(), variables(), voptions()

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

Examples

# retrieve properties
v <- validator(turnover > 0, staff.costs>0)

# number of rules in v:
length(v)

# per-rule
created(v)
origin(v)
names(v)

# set properties
names(v)[1] <- "p1"

label(v)[1] <- "turnover positive"
description(v)[1] <- "
According to the official definition,
only positive values can be considered
valid turnovers.
"

# short description is also printed:
v

# print all info for first rule
v[[1]]



# retrieve properties
v <- validator(turnover > 0, staff.costs>0)

# number of rules in v:
length(v)

# per-rule
created(v)
origin(v)
names(v)

# set properties
names(v)[1] <- "p1"

label(v)[1] <- "turnover positive"
description(v)[1] <- "
According to the official definition,
only positive values can be considered
valid turnovers.
"

# short description is also printed:
v

# print all info for first rule
v[[1]]

validate documentation built on March 31, 2023, 6:27 p.m.