ABCanalysis (version 1.1.2)

calculatedABCanalysis: Computed ABC analysis: calculates a division of the data in 3 classes A, B and C

Description

divide the Data in 3 classes A, B and C such that A=Data[Aind] : with low effort much yield B=Data[Bind] : yield and effort are about equal C=Data[Cind] : with much effort low yield

Usage

calculatedABCanalysis(Data)

Arguments

Data

vector(1:n) describes an array of data: n cases in rows of one variable, if matrix or dataframe then first column will be used.

Value

Output is of type list which parts are described in the following

Details

Pareto point: Minimum distance to (0,1) = minimal unrealized potential

BreakEven Point: B_x is the x value of the point, where the slope of ABCcurve equals one.

For further description to p in variable AlimitIndInInterpolation see ABCcurve

References

Ultsch. A ., Lotsch J.: Computed ABC Analysis for Rational Selection of Most Informative Variables in Multivariate Data, PloS one, Vol. 10(6), pp. e0129767. doi 10.1371/journal.pone.0129767, 2015.

See Also

ABCanalysis

Examples

  data("SwissInhabitants")
	abc=calculatedABCanalysis(SwissInhabitants)
	A=abc$Aind
	B=abc$Bind
	C=abc$Cind
	Agroup=SwissInhabitants[A]
	Bgroup=SwissInhabitants[B]
	Cgroup=SwissInhabitants[C]