# parcoord

From MASS v7.3-19
by Brian Ripley

##### Parallel Coordinates Plot

Parallel coordinates plot

- Keywords
- hplot

##### Usage

`parcoord(x, col = 1, lty = 1, var.label = FALSE, ...)`

##### Arguments

- x
- a matrix or data frame who columns represent variables. Missing values are allowed.
- col
- A vector of colours, recycled as necessary for each observation.
- lty
- A vector of line types, recycled as necessary for each observation.
- var.label
- If
`TRUE`

, each variable's axis is labelled with maximum and minimum values. - ...
- Further graphics parameters which are passed to
`matplot`

.

##### Side Effects

a parallel coordinates plots is drawn.

##### References

Wegman, E. J. (1990) Hyperdimensional data analysis using parallel
coordinates.
*Journal of the American Statistical Association*
**85**, 664--675.

Venables, W. N. and Ripley, B. D. (2002)
*Modern Applied Statistics with S.* Fourth edition. Springer.

##### Examples

```
parcoord(state.x77[, c(7, 4, 6, 2, 5, 3)])
ir <- rbind(iris3[,,1], iris3[,,2], iris3[,,3])
parcoord(log(ir)[, c(3, 4, 2, 1)], col = 1 + (0:149)%/%50)
```

*Documentation reproduced from package MASS, version 7.3-19, License: GPL-2 | GPL-3*

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