ABCplot


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


Data


		for plot default:  LineType=0 for a line, other line codes see documentation about <code>pch</code> in <a rd-options="" href="/link/par?package=ABCanalysis&version=1.1.2" data-mini-rdoc="ABCanalysis::par">par</a>


LineType


		integer, width of Line, see <code>lwd</code> in <a rd-options="" href="/link/par?package=ABCanalysis&version=1.1.2" data-mini-rdoc="ABCanalysis::par">par</a>


LineWidth


		bool, =TRUE: the ABC curve of the uniform distribution is shown in plot


ShowUniform


  	string, optional, see parameter <code>main</code> in <a rd-options="" href="/link/plot?package=ABCanalysis&version=1.1.2" data-mini-rdoc="ABCanalysis::plot">plot</a>


title


  optional, see <a rd-options="" href="/link/ABCcurve?package=ABCanalysis&version=1.1.2" data-mini-rdoc="ABCanalysis::ABCcurve">ABCcurve</a>


ABCcurvedata


  optional, boolean, see parameter <code>axes</code> in <a rd-options="" href="/link/plot?package=ABCanalysis&version=1.1.2" data-mini-rdoc="ABCanalysis::plot">plot</a>


defaultAxes


Plots cumulative percentage of largest data (effort) vs. cumulative percentage of sum of largest data (yield)


Lorenz curve

Lorenz

ABC analysis

For a given data set, the package provides a novel method of computing precise limits to acquire subsets which are easily interpreted. Closely related to the Lorenz curve, the ABC curve visualizes the data by graphically representing the cumulative distribution function. Based on an ABC analysis the algorithm calculates, with the help of the ABC curve, the optimal limits by exploiting the mathematical properties pertaining to distribution of analyzed items. The data containing positive values is divided into three disjoint subsets A, B and C, with subset A comprising very profitable values, i.e. largest data values ("the important few"), subset B comprising values where the yield equals to the effort required to obtain it, and the subset C comprising of non-profitable values, i.e., the smallest data sets ("the trivial many"). Package is based on "Computed ABC Analysis for rational Selection of most informative Variables in multivariate Data", PLoS One. Ultsch. A., Lotsch J. (2015) <DOI:10.1371/journal.pone.0129767>.

Michael Thrun

ABCanalysis

Computed ABC Analysis

ABCplot function


		for plot default:  LineType=0 for a line, other line codes see documentation about <code>pch</code> in <a rd-options='' href='par'>par</a>



		integer, width of Line, see <code>lwd</code> in <a rd-options='' href='par'>par</a>



  	string, optional, see parameter <code>main</code> in <a rd-options='' href='plot'>plot</a>



  optional, see <a rd-options='' href='ABCcurve'>ABCcurve</a>



  optional, boolean, see parameter <code>axes</code> in <a rd-options='' href='plot'>plot</a>


ABCplot: displays an ABC Curve as an alternative to an Lorenz curve

Description

Usage

Arguments

Value

Examples