R: Barplot of validatorComparison object

barplot,validatorComparison-method {validate}

R Documentation

Barplot of validatorComparison object

Description

The performance of versions of a data set with regard to rule-based quality requirements can be compared using using compare. The result is a validatorComparison object. This method creates a stacked bar plot of the results. See also plot,validatorComparison-method for a line chart.

Usage

## S4 method for signature 'validatorComparison'
barplot(
  height,
  las = 1,
  cex.axis = 0.8,
  cex.legend = cex.axis,
  wrap = TRUE,
  ...
)

Arguments

`height`	object of class `validatorComparison`
`las`	[`numeric`] in `{0,1,2,3}` determining axis label rotation
`cex.axis`	[`numeric`] Magnification with respect to the current setting of `cex` for axis annotation.
`cex.legend`	[`numeric`] Magnification with respect to the current setting of `cex` for legend annotation and title.
`wrap`	[`logical`] Toggle wrapping of x-axis labels when their width exceeds the width of the column.
`...`	Graphical parameters passed to `barplot.default`.

Note

Before plotting, underscores (_) and dots (.) in x-axis labels are replaced with spaces.

Examples

data(retailers)

rules <- validator(turnover >=0, staff>=0, other.rev>=0)

# start with raw data
step0 <- retailers

# impute turnovers
step1 <- step0
step1$turnover[is.na(step1$turnover)] <- mean(step1$turnover,na.rm=TRUE)

# flip sign of negative revenues
step2 <- step1
step2$other.rev <- abs(step2$other.rev)
  
# create an overview of differences, comparing to the previous step
compare(rules, raw = step0, imputed = step1, flipped = step2, how="sequential")

# create an overview of differences compared to raw data
out <- compare(rules, raw = step0, imputed = step1, flipped = step2)
out

# graphical overview
plot(out)
barplot(out)

# transform data to data.frame (easy for use with ggplot)
as.data.frame(out)