| bvdist-cauchy2d {fMultivar} | R Documentation | 
Bivariate Cauchy Distribution
Description
Density, distribution function, and random generation for the bivariate Cauchy distribution.
Usage
dcauchy2d(x, y, rho = 0)
pcauchy2d(x, y, rho = 0)
rcauchy2d(n, rho = 0)
Arguments
x, y | 
 two numeric vectors defining the x and y coordinates.  | 
n | 
 the number of random deviates to be generated, an integer value.  | 
rho | 
 the correlation parameter, a numeric value ranging between minus one and one, by default zero.  | 
Value
pcauchy2d
returns a two column matrix of probabilities for the bivariate 
Cauchy distribution function.
dcauchy2d
returns a two column matrix of densities for the bivariate 
Cauchy distribution function.
 
rcauchy2d
returns a two column matrix of random deviates generated from
the bivariate Cauchy distribution function.
Author(s)
Adelchi Azzalini for the underlying pnorm2d function, 
Diethelm Wuertz for the Rmetrics R-port.
References
Azzalini A., (2004); The sn Package; R Reference Guide available from www.r-project.org.
Venables W.N., Ripley B.D., (2002); Modern Applied Statistics with S, Fourth Edition, Springer.
Examples
## Bivariate Cauchy Density:
   x <- (-40:40)/10
   X <- grid2d(x)
   z <- dcauchy2d(X$x, X$y, rho = 0.5)
   Z <- list(x = x, y = x, z = matrix(z, ncol = length(x)))
   
## Perspective Density Plot:
   persp(Z, theta = -40, phi = 30, col = "steelblue")
   
## Image Density Plot with Contours:
   image(Z, main="Bivariate Cauchy")
   contour(Z, add=TRUE)