subset_Grid: Subgrid by selection of levels in one dimension.
In smint: Smooth Multivariate Interpolation for Gridded and Scattered Data

Description Usage Arguments Value Note See Also Examples

Subgrid by selection of levels in one dimension.

1	subset_Grid(X, subset, type = c("index", "Grid", "both"), drop = TRUE)

`X`	An object with class `"Grid"`.
`subset`	An expression concerning one of the dimension of `X`. This can be compared to an expression in the `subset` method.
`type`	The wanted type of result. When `type` is `"index"`, the returned result is an integer vector containing the indices of the subgrid nodes in the original grid. When `type` is `"Grid"` the result is the subgrid as an object of this class. Finally when `type` is `"both"` a list is returned containing the two previous types of result under the names `index` and `Grid`.
`drop`	Logical. If `TRUE` and if only one level is selected with `subset` then the corresponding dimension of the (flat) `Grid` result will be dropped.

A vector of integer indices, a Grid object or a list embedding these two elements, depending on the value of type.

The new Grid returned (if any) uses consecutive numbers for the nodes between 1 and the number of new nodes. So it no longer keeps trace of the nodes position in X. However the surviving nodes are kept in the order that they had in X.

When a response vector or matrix say Y is related to the original grid X, the index vector returned by subgrid can be used to select the corresponding responses.

The subset method.

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myGD <- Grid(levels = list("Temp" = c(250, 260, 280, 290, 300),
                           "Press" = c(3, 4, 6, 10)))
myGD2 <- subset_Grid(myGD, subset = Temp > 280)