fCopulae (version 3000.79)

BivariateGridding: Bivariate Gridded Data Sets

Description

A collection and description of functions which allow to generate bivariate gridded data sets. Grid Data Functions: ll{ gridData generates a grid data set of class 'gridData', persp generates a perspective plot from a grid data set, contour generates a contour plot from a grid data set.}

Usage

gridData(x = (-10:10)/10, y = x, z = outer(x, y, function(x, y) (x^2+y^2) ) )
## S3 method for class 'gridData':
persp(x, theta = -40, phi = 30, col = "steelblue", 
    ticktype = "detailed", \dots)
## S3 method for class 'gridData':
contour(x, addImage = TRUE, \dots)

Arguments

addImage

[contour] - a logical flag indicating if an image plot should be underlayed to the contour level plot.

x, y, z

[gridData] - x and y are two numeric vectors of grid pounts and z is a numeric matrix or any other rectangular object which can be transformed by the function as.matrix into a

theta, phi, col, ticktype

[persp] - tailored parameters passed the perspective plot function persp.

...

[contour][persp] - additional arguments to be passed to the perspectice and countour plot functions.

Value

• gridData - A list with at least three entries, x, y and z. The returned values, can be directly used by the persp.gridData() and contour.gridData 3D plotting methods.

Examples

## gridData -
   # Grid Data Set
   gD = gridData()
   persp(gD)
   contour(gD)