View source: R/spher.esag.contour.R
Contour plot (on the sphere) of the ESAG and Kent distributions | R Documentation |
The contour plot (on the sphere) of the ESAG and Kent distributions is produced.
spher.esag.contour(mu, gam, bgcol = "snow", dat = NULL, col = NULL,
lat = 50, long = 50)
spher.kent.contour(G, param, bgcol = "snow", dat = NULL, col = NULL,
lat = 50, long = 50)
mu |
The mean vector the ESAG distribution, a vector in |
gam |
The two gamma parameters of the ESAG distribution. |
G |
For the Kent distribution, a 3 x 3 matrix whose first column is the mean direction. The second and third columns are the major and minor axes respectively. |
param |
For the Kent distribution a vector with the concentration |
bgcol |
The color of the surface of the sphere. |
dat |
If you have you want to plot supply them here. This has to be a numerical matrix with three columns, i.e. unit vectors. |
col |
If you supplied data then choose the color of the points. If you did not choose a color, the points will appear in red. |
lat |
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. |
long |
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. |
The goal of this function is for the user to see how the ESAG or the Kent distribution looks like.
A plot containing the contours of the distribution.
Michail Tsagris.
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.
Kent John (1982). The Fisher-Bingham distribution on the sphere. Journal of the Royal Statistical Society, Series B, 44(1): 71–80.
Paine P.J., Preston S.P., Tsagris M. and Wood A.T.A. (2018). An Elliptically Symmetric Angular Gaussian Distribution. Statistics and Computing, 28(3):689–697.
esag.contour, spher.purka.contour, kent.contour
mu <- colMeans( as.matrix( iris[, 1:3] ) )
gam <- c(1 ,0.5)
## the lat and long are decreased to 30. Increase them back to 50 to
## see the difference
spher.esag.contour(mu, gam, lat = 30, long = 30)
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