Visualizes the chosen dimensions of the theta object graphically by the GMM density and possibly the individual gaussian components.

# S3 method for theta plot(x, which.dims = c(1L, 2L), n.sd = qnorm(0.99), add.means = TRUE, ..., add.ellipses = FALSE)

x | An object of class |
---|---|

which.dims | An integer vector of length 2 choosing which two dimensions to plot. |

n.sd | An integer choosing the number of standard deviations in each dimension to determine the plotting window. |

add.means | logical. If TRUE, dots corresponding to the means are added to the plot. |

... | Arguments passed to |

add.ellipses | logical. If TRUE, ellipses outlining a 95% confidence
regions for each component are added in the bivariate multivariate
distribution defined by theta and |

Plots via the `contour`

function. Invisibly returns a list with
x, y, z coordinates that is passed to contour.

Anders Ellern Bilgrau <anders.ellern.bilgrau@gmail.com>

set.seed(5) theta <- rtheta(d = 3, m = 2) if (FALSE) { plot(theta) plot(theta, col = "blue", asp = 1, add.means = FALSE) plot(theta, col = "blue", asp = 1, add.means = TRUE) plot(theta, which.dims = c(3L, 2L), asp = 1) } plot(theta, asp = 1, n.sd = 3, add.ellipses = TRUE, nlevels = 40, axes = FALSE, xlab = "Dimension 1", ylab = "Dimension 2")