shapes.blocks3d: 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)

Value

clusters: cluster number for each object
data: generated data - matrix with objects in rows and variables in columns

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

Author

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

Examples

Run this code

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