barplot-validation-method: Plot number of violations

In validate: Data Validation Infrastructure

Plot number of violations

Description

Plot number of violations

Usage

## S4 method for signature 'validation'
barplot(
  height,
  ...,
  order_by = c("fails", "passes", "nNA"),
  stack_by = c("fails", "passes", "nNA"),
  topn = Inf,
  add_legend = TRUE,
  add_exprs = TRUE,
  colors = c(fails = "#FB9A99", passes = "#B2DF8A", nNA = "#FDBF6F")
)

Arguments

height	an R object defining height of bars (here, a validation object)
...	parameters to be passed to barplot but not height, horiz, border,las, and las.
order_by	(single character) order bars decreasingly from top to bottom by the number of fails, passes or NA's.
stack_by	(3-vector of characters) Stacking order for bar chart (left to right)
topn	If specified, plot only the top n most violated calls
add_legend	Display legend?
add_exprs	Display rules?
colors	Bar colors for validations yielding NA or a violation

Value

A list, containing the bar locations as in barplot

Credits

The default colors were generated with the RColorBrewer package of Erich Neuwirth.

See Also

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

Examples

data(retailers)
cf <- check_that(retailers
    , staff.costs < total.costs
    , turnover + other.rev == total.rev
    , other.rev > 0
    , total.rev > 0)
barplot(cf)

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