validate (version 1.1.5)

plot,validation-method: Plot validation results

Description

Creates a barplot of validation result. For each validation rule, a stacked bar is plotted with percentages of failing, passing, and missing results.

Usage

# S4 method for validation
plot(
  x,
  y,
  fill = c("#FE2712", "#66B032", "#dddddd"),
  col = fill,
  rulenames = names(x),
  labels = c("Fails", "Passing", "Missing", "Total"),
  title = NULL,
  xlab = NULL,
  ...
)

Arguments

x

a confrontation object.

y

not used

fill

[character] vector of length 3. Colors representing fails, passes, and missings

col

Edge colors for the bars.

rulenames

[character] vector of size length(x). If not specified, names are taken from x.

labels

[character] vector of length 4. Replace legend annotation.

title

[character] Change the default title.

xlab

[character] Change the title

...

not used

Details

The plot function tries to be smart about placing labels on the y axis. When the number of bars becomes too large, no y axis annotation will be shown and the bars will become space-filling.

See Also

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

Examples

rules <- validator( r1 = staff.costs < total.costs
                  , r2 = turnover + other.rev == total.rev
                  , r3 = other.rev > 0
                  , r4 = total.rev > 0
                  , r5 = nace %in% c("A", "B")
                  )
plot(rules, cex=0.8, show_legend=TRUE)

data(retailers)
cf <- confront(retailers, rules)
plot(cf, main="Retailers check")