Grid-class: Class '"Grid"'
In smint: Smooth Multivariate Interpolation for Gridded and Scattered Data

Description Objects from the Class Slots Methods Examples

S4 class

Objects can be created by calls of the form new("Grid", ...). or more simply by calling Grid.

dim:: Object of class "integer" Spatial dimension or number of inputs.
dimNames:: Object of class "character" Names of the spatial dimensions or inputs.
levels:: Object of class "list" List with length dim containing the levels, i.e. the distinct values taken by the corresponding spatial variable.
index:: Object of class "array" Integer index of the combination of levels.

aperm: signature(a = "Grid"): generalized transposition
as.data.frame: signature(x = "Grid"): coercion to a data frame, with one row for each combination of the levels.
as.matrix: signature(x = "Grid"): coercion to a matrix, with one row by combination of the levels.
checkX: signature(X = "Grid"): check desing.
closest: signature(X = "Grid"): find closest points.
dim: signature(x = "Grid"): spatial dimension d.
dimnames: signature(x = "Grid"): names of the spatial dimensions.
dimnames<-: signature(x = "Grid", value = ANY): replace the names of the spatial dimensions.
length: signature(x = "Grid"): number of grid nodes.
levels: signature(x = "Grid"): extracts the list of the levels, i.e. the possible distinct values for each spatial dimension.
nlevels: signature(x = "Grid"): vector of number of levels, one value for each spatial dimension.
plot: signature(x = "Grid"): plot an object using pairs.
sampleIn: signature(x = "Grid"): draw random nodes.
show: signature(x = "Grid"): show grid properties.

showClass("Grid")

## generate a random Grid object, and change its order for tests
set.seed(1234)
GD <- randGrid(nlevels = c("X" = 2, "Y" = 3))
n <- length(GD@index)
ind <- sample(n, size = n, replace = FALSE)
GD@index <- array(ind, dim = nlevels(GD))
X2 <- as.matrix(GD)
GD2 <- as.Grid(X2)
X2Bis <- as.matrix(GD2)
## This hould be zero!
max(abs(X2 - X2Bis))