R: Sets of colours and symbols for cluster plotting

clucols {fpc} | R Documentation

## Sets of colours and symbols for cluster plotting

### Description

`clucols` gives out a vector of different random colours. `clugrey` gives out a vector of equidistant grey scales. `clusym` is a vector of different symbols starting from "1", "2",...

### Usage

      clucols(i, seed=NULL)
      clugrey(i,max=0.9)
      clusym

### Arguments

`i` | integer. Length of output vector (number of clusters).
`seed` | integer. Random seed.
`max` | between 0 and 1. Maximum grey scale value, see `grey` (close to 1 is bright).

### Value

`clucols` gives out a vector of different random colours. `clugrey` gives out a vector of equidistant grey scales. `clusym` is a vector of different characters starting from "1", "2",...

### Author(s)

Christian Hennig c.hennig@ucl.ac.uk http://www.homepages.ucl.ac.uk/~ucakche

### Examples

      set.seed(112233)
      require(MASS)
      require(flexmix)
      data(Cars93)
      Cars934 <- Cars93[,c(3,5,8,10)]
      cc <-
        discrete.recode(Cars934,xvarsorted=FALSE,continuous=c(2,3),discrete=c(1,4))
      fcc <- flexmix(cc$data~1,k=3,
      model=lcmixed(continuous=2,discrete=2,ppdim=c(6,3),diagonal=TRUE))
      plot(Cars934[,c(2,3)],col=clucols(3)[fcc@cluster],pch=clusym[fcc@cluster])

[Package fpc version 2.1-10 Index]