BivariateGridding {fMultivar}R Documentation

Bivariate Gridded Data Sets

Description

A collection and description of 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)

[Package fMultivar version 270.74 Index]