ABCcurve: calculates ABC Curve
In ABCanalysis: Computed ABC Analysis

Description Usage Arguments Value Author(s) References

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.

1	ABCcurve(Data, p)

`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

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

Michael Thrun

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

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.

ABCanalysis documentation built on May 1, 2019, 9:33 p.m.