This function draws a parallel coordinate plot of data. Variables
may be reordered and panels colored in the display. It is a modified
version of `parcoord {MASS}`

.

1 |

`data` |
a numeric matrix |

`order` |
the order of variables. Default is the order in data. |

`panel.colors` |
either a vector or a matrix of panel colors. If a vector is supplied, the ith color is used for the ith panel. If a matrix, dimensions should match those of the variables. Diagonal entries are ignored. |

`col` |
a vector of colours, recycled as necessary for each observation. |

`lty` |
a vector of line types, recycled as necessary for each observation. |

`horizontal` |
If TRUE, orientation is horizontal. |

`mar` |
margin parameters, passed to |

`...` |
graphics parameters which are passed to matplot. |

If `panel.colors`

is a matrix and `order`

is supplied, `panel.colors`

is
reordered.

Catherine B. Hurley

Hurley, Catherine B. “Clustering Visualisations of Multidimensional Data”, Journal of Computational and Graphical Statistics, vol. 13, (4), pp 788-806, 2004.

`cpairs`

, `parcoord`

,
`dmat.color`

, `colpairs`

, `order.endlink`

.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | ```
data(state)
state.m <- colpairs(state.x77,
function(x,y) cor.test(x,y,"two.sided","kendall")$estimate, diag=1)
# OR, Works only in R1.8, state.m <-cor(state.x77,method="kendall")
state.col <- dmat.color(state.m)
cparcoord(state.x77, panel.color= state.col)
# Get rid of the panels with lots of line crossings (yellow) by reordering:
cparcoord(state.x77, order.endlink(state.m), state.col)
# To get rid of the panels with lots of long line segments:
# use a different panel merit measure- pclen:
mins <- apply(state.x77,2,min)
ranges <- apply(state.x77,2,max) - mins
state.m <- -colpairs(scale(state.x77,mins,ranges), pclen)
cparcoord(state.x77, order.endlink(state.m), dmat.color(state.m))
``` |

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