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/

shapes.worms,shapes.circles2,shapes.circles3,shapes.bulls.eye,shapes.two.moon
library(clusterSim)
plot3d(sb3d$data,col=rainbow(2)[sb3d$clusters])