cons.angular.dat: Angular data set generation from unit Frechet data.

Description

Builds an angular data set, retaining the points with largest radial component.

Usage

cons.angular.dat(
  coordinates = c(1, 2, 3),
  frechetDat = get("frechetdat"),
  n = 100,
  displ = TRUE,
  invisible = TRUE,
  add = FALSE,
  lab1 = "w1",
  lab2 = "w2",
  lab3 = "w3",
  npoints = 60,
  col.polygon = "white",
  ...
)

Value

The angular data set: A n*length(coordinates) matrix, containing values between zero and one, which rows sum to one: Each row is thus a point on the unit simplex of dimension length(coordinates)-1. Returned as invisible if invisible==TRUE.

Arguments

coordinates: Index vector of the columns in frechetDat to be retained to construct the angular data set.
frechetDat: The data set. A matrix: each row is a multivariate record. May contain NA's.
n: The number of desired observations in the final angular data set. Should be less than nrow(frechetDat)
displ: logical. Should the angular data set be plotted ?
invisible: logical. Should the result be returned as invisible ?
add: logical. Only used when displ==TRUE. Should the points be added to the current plot ?
lab1: Character string: label for first component.
lab2: Character string: label for second component.
lab3: Character string: label for third component.
npoints: The number of grid nodes on the squared grid containing the desired triangle.
col.polygon: The background color outside the simplex.
...: Additional graphical parameters and arguments to be passed to function plot.window and points.

Details

The data set frechetDat is assumed to be marginally unit Frechet distributed.

Examples

Run this code

 if (FALSE) cons.angular.dat()

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