The contour plot (on the sphere) of the SESPC distribution is produced.
spher.sespc.contour(mu, theta, bgcol = "snow", dat = NULL, col = NULL,
lat = 50, long = 50)
A plot containing the contours of the distribution.
The mean vector the SESPC distribution, a vector in
The two
The color of the surface of the sphere.
If you have you want to plot supply them here. This has to be a numerical matrix with three columns, i.e. unit vectors.
If you supplied data then choose the color of the points. If you did not choose a color, the points will appear in red.
A positive number determing the range of degrees to move left and right from the latitude center. See the example to better understand this argument.
A positive number determing the range of degrees to move up and down from the longitude center. See the example to better understand this argument.
Michail Tsagris.
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.
The goal of this function is for the user to see how the SESPC distribution looks like.
Tsagris M. and Alzeley O. (2023). Circular and spherical projected Cauchy distributions. https://arxiv.org/pdf/2302.02468.pdf
spher.esag.contour, spher.spcauchy.contour
# \donttest{
mu <- colMeans( as.matrix( iris[, 1:3] ) )
theta <- c(1 ,0.5)
## the lat and long are decreased to 30. Increase them back to 50 to
## see the difference
spher.sespc.contour(mu, theta, lat = 30, long = 30)
# }
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