plot.accruedErrors: Function to plot errors in accrued data

In accrued: Data Quality Visualization Tools for Partially Accruing Data

Description

Plots errors in partially accruing data, optionally with quantiles of those errors superimposed.

Usage

## S3 method for class 'accruedErrors'
plot(x, withSmoothing = FALSE, quantiles = c(0.1, 0.5, 0.9), 
  quantileColors = switch(1+is.null(quantiles), rainbow(length(quantiles)), NULL), ...)

Arguments

x	Object of the accruedErrors class.
withSmoothing	Logical. If TRUE the the quantiles are smoothed prior to plotting.
quantiles	A vector of quantiles to be plotted.
quantileColors	Colors to use for quantiles.
...	Parameters to pass to plot.

Details

Produces a scatter plot of errors for each lag value, with the x-axis representing lag and the y-axis the error values. The x-value are jittered prior to plotting. If quantiles is specified, the corresponding quantiles of the errors will be superimposed on the plot.

Value

None.

Author(s)

Julie Eaton and Ian Painter

See Also

accruedErrors, data.accrued, summary.accruedErrors

Examples

	data(accruedDataExample)			# simulated accrued data
	dat <- data.accrued(accruedDataExample)	
	errors <- accruedErrors(dat)
	plot(errors)

accrued documentation built on May 2, 2019, 4:01 p.m.