oils: Oils data proposed by Ichino

In GPCSIV: GPCSIV, Generalized Principal Component of Symbolic Interval variables

Description

Each row in this table represents a class of oil described by four variables interval quantitives : 'specific gravity', 'freezing points', 'iodine value', 'saponification' The four successive pairs of columns contain the five symbolic interval variables. Each pair consists of a min and a max.

Usage

data(Judge1)

Format

A data frame with 8 observations on the following 8 variables.

GRA.MIN

a numeric vector, minimum of specific gravity

GRA.MAX

a numeric vector, maximum of specific gravity

FRE.MIN

a numeric vector, minimum of freezing points

FRE.MAX

a numeric vector, maximum of freezing points

IOD.MIN

a numeric vector, minimum of iodine value

IOD.MAX

a numeric vector, maximum of iodine value

SAP.MIN

a numeric vector, minimum of saponification

SAP.MAX

a numeric vector, maximum saponification

References

Cazes P., Chouakria A., Diday E. et Schektman Y. (1997). Extension de l'analyse en composantes principales a des donnees de type intervalle, Rev. Statistique Appliquee, Vol. XLV Num. 3 pag. 5-24, France.

Ichino M. (1994). Generalized Minkowski metrics for mixed featuretype data analysis. IEEE , transactions on systems, man and cybermetrics, vol.24, n 4.

Examples

data(oils)

Example output

Loading required package: scatterplot3d
Loading required package: sqldf
Loading required package: gsubfn
Loading required package: proto
Could not load tcltk.  Will use slower R code instead.
Loading required package: RSQLite

GPCSIV documentation built on May 1, 2019, 9:04 p.m.