shapes.blocks3d {clusterSim}  R Documentation 
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)
shapes.blocks3d(numObjects=180,shapesUnitSize=0.5, shape2coordinateX=1.2,
shape2coordinateY=1.2,shape2coordinateZ=1.2, outputCsv="", outputCsv2="",
outputColNames=TRUE, outputRowNames=TRUE)
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 ( 
shape2coordinateY 
maximal value for second shape in second ( 
shape2coordinateZ 
maximal value for second shape in third ( 
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 

outputRowNames 

clusters 
cluster number for each object 
data 
generated data  matrix with objects in rows and variables in columns 
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/
shapes.worms
,shapes.circles2
,shapes.circles3
,shapes.bulls.eye
,shapes.two.moon
library(clusterSim)
library(rgl)
sb3d<shapes.blocks3d(300,1,3,3,3)
plot3d(sb3d$data,col=rainbow(2)[sb3d$clusters])