ABCcurve {ABCanalysis}

calculates ABC Curve

Description

Calculates cumulative percentage of largest data (effort) and cumulative percentages of sum of largest Data (yield) with spline interpolation (second order, piecewise) of values in-between.

Usage

ABCcurve(Data, p)

Arguments

Data

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

p

optional, an vector of values specifying where interpolation takes place, created by seq of package base

Value

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

Curve

A list with

Effort:vector [1:k], cumulative population in percent

Yield: vector [1:k], cumulative high data in percent

CleanedData

vector [1:m], columnvector containing Data>=0 and zeros for all NA, NaN and negative values in Data(1:n)

Slope

A list with

p: X-values for spline interpolation, defualt: p = (0:0.01:1)

dABC: first deviation of the functio ABC(p)=Effort(Yield

Author(s)

Michael Thrun

http://www.uni-marburg.de/fb12/datenbionik

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.