Confidence Ellipses
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, ...)object |
|
par |
character vector of length two, the names of two ‘beta’ parameters |
alpha |
alpha level for confidence intervals |
npts |
number of points on perimeter of ellipse |
plot |
logical for whether ellipse should be plotted |
linkscale |
logical; if FALSE then coordinates will be backtransformed from the link scale |
add |
logical to add ellipse to an existing plot |
col |
vector of one or more plotting colours |
... |
arguments to pass to plot functions (or polygon() in the case of ellipse.bvn) |
xy |
2-column matrix of coordinates |
centroid |
logical; if TRUE the plotted ellipse is a confidence
region for the centroid of points in |
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.
A list containing the x and y coordinates is returned invisibly from either function.
Jennrich, R. I. and Turner, F. B. (1969) Measurement of non-circular home range. Journal of Theoretical Biology, 22, 227–237.
ellipse.secr(secrdemo.0)
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