ABCanalysis (version 1.1.2)

ABCanalysisPlot: Displays ABC plot with ABCanalysis

Description

Displays ABC Curve : cumulative percentage of largest Data (effort) vs cumlative percentage of sum of largest data (yield) with set limits generated by an calculated ABCanalysis.

Usage

ABCanalysisPlot(Data, LineType = 0, LineWidth = 3, 
ShowUniform = TRUE,title, limits = TRUE, MarkPoints = TRUE,
ABCcurvedata,ResetPlotDefaults=TRUE)

Arguments

Data

vector[1:n] describes an array of data: n cases in rows of one variable

LineType

integer, optional, for plot default: LineType=0 for solid line; for other line codes see documentation about pch

LineWidth

integer, optional, width of Line, see lwd in par

ShowUniform

boolean, optional, the ABC curve of the uniform distribution is shown in plot if TRUE (default)

title

string, optional, see parameter main in plot

limits

boolean, = TRUE, lines of division in A, B and C are drawn, default = FALSE

MarkPoints

boolean, optional, default= TRUE, Mark the three points of interest

ABCcurvedata

optional, see ABCcurve

ResetPlotDefaults

optional, default =TRUE. If ResetPlotDefaults=FALSE, multiple plots in one window possible, but no resetting of plot to default parameters.

Value

object is a list of items with

See Also

ABCanalysis

Examples

## Standard Example
	data("SwissInhabitants")
	abc=ABCanalysisPlot(SwissInhabitants)
##	Multiple plots in one Window:
	m=runif(4,100,200)
	s=runif(4,1,10)
	Data=sapply(1:4,FUN=function(x,m,s) rnorm(1000,m,s),m,s)
	# windows() #screen devices should not be used in examples etc
	par(mfrow=c(2,2))
	for (i in 1:4)
	{
		ABCanalysisPlot(Data[,i],ResetPlotDefaults=FALSE)
	}