utils-gridding2d: Bivariate Gridded Data Sets

In fMultivar: Rmetrics - Modeling of Multivariate Financial Return Distributions

Bivariate Gridded Data Sets

Description

Functions which allow to generate bivariate gridded data sets.

Grid Data Functions:

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", ...)
## S3 method for class 'gridData'
contour(x, addImage = TRUE, ...)

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 matrix object.
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.

Author(s)

Diethelm Wuertz for the Rmetrics R-port,
H. Akima for the Fortran Code of the Akima spline interpolation routine.

Examples

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

fMultivar documentation built on July 9, 2023, 3:08 p.m.