shapes.circles3 {clusterSim}  R Documentation 
Generation of data set containing three clusters with untypical ring shapes. For each point first random radius r
from given interval is generated then random angle alpha
and finally the coordinates of point are calculated as (r*cos(alpha)
,r*sin(alpha)
)
shapes.circles3(numObjects=180,shape1rFrom=0.15,shape1rTo=0.3,
shape2rFrom=0.55,shape2rTo=0.7,shape3rFrom=1.15,shape3rTo=1.3,
outputCsv="", outputCsv2="", outputColNames=TRUE, outputRowNames=TRUE)
numObjects 
number of objects in each cluster  positive integer value or vector with length=3 
,
shape1rFrom 
minimal value of radius for first ring 
shape1rTo 
maximal value of radius for first ring 
shape2rFrom 
minimal value of radius for second ring 
shape2rTo 
maximal value of radius for second ring 
shape3rFrom 
minimal value of radius for third ring 
shape3rTo 
maximal value of radius for third ring 
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.bulls.eye
,shapes.two.moon
,shapes.blocks3d
#Example1
library(clusterSim)
sc3a<shapes.circles3(180)
plot(sc3a$data,col=rainbow(3)[sc3a$clusters])
#Example2
library(clusterSim)
sc3b<shapes.circles3(numObjects=c(120,180,240))
plot(sc3b$data,col=rainbow(3)[sc3b$clusters])