flexclust (version 1.4-1)

randomTour: Plot a Random Tour

Description

Create a series of projection plots corresponding to a random tour through the data.

Usage

randomTour(object, …)
# S4 method for ANY
randomTour(object, …)
# S4 method for matrix
randomTour(object, …)
# S4 method for flexclust
randomTour(object, data=NULL, col=NULL, …)
randomTourMatrix(x, directions=10,
                 steps=100, sec=4, sleep = sec/steps,
                 axiscol=2, axislab=colnames(x),
                 center=NULL, radius=1, minradius=0.01, asp=1,
                 ...)

Arguments

object, x

A matrix or an object of class "flexclust".

data

Data to include in plot.

col

Plotting colors for data points.

directions

Integer value, how many different directions are toured.

steps

Integer, number of steps in each direction.

sec

Numerical, lower bound for the number of seconds each direction takes.

sleep

Numerical, sleep for as many seconds after each picture has been plotted.

axiscol

If not NULL, then arrows are plotted for projections of the original coordinate axes in these colors.

axislab

Optional labels for the projected axes.

center

Center of the coordinate system to use in projected space. Default is the center of the plotting region.

radius

Relative size of the arrows.

minradius

Minimum radius of arrows to include.

asp, …

Passed on to randomTourMatrix and from there to plot.

Details

Two random locations are chosen, and data then projected onto hyperplanes which are orthogonal to step vectors interpolating the two locations. The first two coordinates of the projected data are plotted. If directions is larger than one, then after the first steps plots one more random location is chosen, and the procedure is repeated from the current position to the new location, etc..

The whole procedure is similar to a grand tour, but no attempt is made to optimize subsequent directions, randomTour simply chooses a random direction in each iteration. Use rggobi for the real thing.

Obviously the function needs a reasonably fast computer and graphics device to give a smooth impression, for x11 it may be necessary to use type="Xlib" rather than cairo.

Examples

# NOT RUN {
if(interactive()){
  par(ask=FALSE)
  randomTour(iris[,1:4], axiscol=2:5)
  randomTour(iris[,1:4], col=as.numeric(iris$Species), axiscol=4)

  x <- matrix(runif(300), ncol=3)
  x <- rbind(x, x+1, x+2)
  cl <- cclust(x, k=3, save.data=TRUE)

  randomTour(cl, center=0, axiscol="black")

  ## now use predicted cluster membership for new data as colors
  randomTour(cl, center=0, axiscol="black",
             data=matrix(rnorm(3000, mean=1, sd=2), ncol=3))
}
# }