shapes.blocks3d {clusterSim}R Documentation

Generation of data set containing two clusters with untypical shapes (cube divided into two parts by main diagonal plane)

Description

Generation of data set containing two clusters with untypical shapes (cube starting at point (0,0,0) divided into two parts by main diagonal plane)

Usage

shapes.blocks3d(numObjects=180,shapesUnitSize=0.5, shape2coordinateX=1.2,
shape2coordinateY=1.2,shape2coordinateZ=1.2, outputCsv="", outputCsv2="", 
outputColNames=TRUE, outputRowNames=TRUE)

Arguments

numObjects

number of objects in each cluster - positive integer value or vector with length=2

shapesUnitSize

length of one unit for shape (maximal heigth, width and depth of shape is 2*shapesUnitSize)

shape2coordinateX

maximal value for second shape in first (X) dimension

shape2coordinateY

maximal value for second shape in second (Y) dimension

shape2coordinateZ

maximal value for second shape in third (Z) dimension

outputCsv

optional, name of csv file with generated data (first column contains id, second - number of cluster and others - data)

outputCsv2

optional, name of csv (a comma as decimal point and a semicolon as field separator) file with generated data (first column contains id, second - number of cluster and others - data)

outputColNames

outputColNames=TRUE indicates that output file (given by outputCsv and outputCsv2 parameters) contains first row with column names

outputRowNames

outputRowNames=TRUE indicates that output file (given by outputCsv and outputCsv2 parameters) contains a vector of row names

Value

clusters

cluster number for each object

data

generated data - matrix with objects in rows and variables in columns

Author(s)

Marek Walesiak marek.walesiak@ue.wroc.pl, Andrzej Dudek andrzej.dudek@ue.wroc.pl

Department of Econometrics and Computer Science, University of Economics, Wroclaw, Poland http://keii.ue.wroc.pl/clusterSim/

See Also

shapes.worms,shapes.circles2,shapes.circles3,shapes.bulls.eye,shapes.two.moon

Examples

library(clusterSim)
library(rgl)
sb3d<-shapes.blocks3d(300,1,3,3,3)
plot3d(sb3d$data,col=rainbow(2)[sb3d$clusters])

[Package clusterSim version 0.49-2 Index]