ABCanalysisPlot {ABCanalysis} R Documentation

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

 ABC Output of ABCplot ABCanalysis Output of ABCanalysis

Note

The Break Even point is always marked with a green star.

The diagonal from (0,1) to (1,0) is the equilibrium, where effort equals yield.

Michael Thrun

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)
}

[Package ABCanalysis version 1.2.1 Index]