BivariateGridding {fMultivar} | R Documentation |
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. |
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, ...)
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. |
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.
Diethelm Wuertz for the Rmetrics R-port,
H. Akima for the Fortran Code of the Akima spline interpolation routine.
## gridData - # Grid Data Set gD = gridData() persp(gD) contour(gD)