Plot joint confidence ellipse for two parameters of secr model, or for a distribution of points.
ellipse.secr(object, par = c("g0", "sigma"), alpha = 0.05,
npts = 100, plot = TRUE, linkscale = TRUE, add = FALSE,
col = palette(), ...)ellipse.bvn(xy, alpha = 0.05, npts = 100, centroid = TRUE, add = FALSE, ...)
A list containing the x and y coordinates is returned invisibly from either function.
secr object output from secr.fit
character vector of length two, the names of two `beta' parameters
alpha level for confidence intervals
number of points on perimeter of ellipse
logical for whether ellipse should be plotted
logical; if FALSE then coordinates will be backtransformed from the link scale
logical to add ellipse to an existing plot
vector of one or more plotting colours
arguments to pass to plot functions (or polygon() in the case of ellipse.bvn)
2-column matrix of coordinates
logical; if TRUE the plotted ellipse is a confidence
region for the centroid of points in xy
ellipse.secr calculates coordinates of a confidence ellipse from
the asymptotic variance-covariance matrix of the beta parameters
(coefficients), and optionally plots it.
If linkscale == FALSE, the inverse of the appropriate link
transformation is applied to the coordinates of the ellipse, causing it
to deform.
If object is a list of secr models then one ellipse is
constructed for each model. Colours are recycled as needed.
ellipse.bvn plots a bivariate normal confidence ellipse for the
centroid of a 2-dimensional distribution of points (default centroid =
TRUE), or a Jennrich and Turner (1969) elliptical home-range model.
Jennrich, R. I. and Turner, F. B. (1969) Measurement of non-circular home range. Journal of Theoretical Biology, 22, 227--237.