Spirals Data Set Generator

Description

Produce a data set of spiral clusters.

Usage

spirals(n=c(100,100,100),sd=c(0,0,0))

Arguments

Value

The function returns a two dimensional data set.

Author(s)

Stefano Cacciatore and Leonardo Tenori

References

Cacciatore S, Luchinat C, Tenori L.
Knowledge discovery by accuracy maximization.
Proc Natl Acad Sci U S A 2014;111(14):5117-22.

See Also

helicoid,dinisurface,swissroll

Examples

par(mfrow=c(2,2))
v1=spirals(c(100,100,100),c(0.1,0.1,0.1))
plot(v1,col=rep(2:4,each=100))
v2=spirals(c(100,100,100),c(0.1,0.2,0.3))
plot(v2,col=rep(2:4,each=100))
v3=spirals(c(100,100,100,100,100),c(0,0,0.2,0,0))
plot(v3,col=rep(2:6,each=100)) 
v4=spirals(c(20,40,60,80,100),c(0.1,0.1,0.1,0.1,0.1))
plot(v4,col=rep(2:6,c(20,40,60,80,100)))

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(KODAMA)
Loading required package: e1071
Loading required package: plsgenomics
Loading required package: MASS
Loading required package: boot
Loading required package: parallel
Loading required package: class

Attaching package: 'KODAMA'

The following object is masked from 'package:plsgenomics':

    transformy

> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/KODAMA/spirals.Rd_%03d_medium.png", width=480, height=480)
> ### Name: spirals
> ### Title: Spirals Data Set Generator
> ### Aliases: spirals
> ### Keywords: dataset
> 
> ### ** Examples
> 
> par(mfrow=c(2,2))
> v1=spirals(c(100,100,100),c(0.1,0.1,0.1))
> plot(v1,col=rep(2:4,each=100))
> v2=spirals(c(100,100,100),c(0.1,0.2,0.3))
> plot(v2,col=rep(2:4,each=100))
> v3=spirals(c(100,100,100,100,100),c(0,0,0.2,0,0))
> plot(v3,col=rep(2:6,each=100)) 
> v4=spirals(c(20,40,60,80,100),c(0.1,0.1,0.1,0.1,0.1))
> plot(v4,col=rep(2:6,c(20,40,60,80,100)))
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>