(Blockwise) cross product of integration points

Calculates the groupwise cross product of integration points in different dimensions and multiplies their weights accordingly. If the object defining points in a particular dimension has no weights attached to it all weights are assumed to be 1.

Usage

fm_cprod(..., na.rm = NULL, .blockwise = FALSE)

Arguments

...

tibble, data.frame, sf, or SpatialPointsDataFrame objects, each one usually obtained by a call to an fm_int() method.

na.rm

logical; if TRUE, the rows with weight NA from the non-overlapping full_join will be removed; if FALSE, set the undefined weights to NA. If NULL (default), act as TRUE, but warn if any elements needed removing.

.blockwise

logical; if FALSE, computes full tensor product integration. If TRUE, computes within-block tensor product integration (used internally by fm_int()). Default FALSE

Value

A data.frame, sf, or SpatialPointsDataFrame of multidimensional integration points and their weights

Examples

# \donttest{
# fm_int needs INLA
if (TRUE &&
  require("ggplot2")) {
  # Create integration points in dimension 'myDim' and 'myDiscreteDim'
  ips1 <- fm_int(fm_mesh_1d(1:20),
    rbind(c(0, 3), c(3, 8)),
    name = "myDim"
  )
  ips2 <- fm_int(domain = c(1, 2, 4), name = "myDiscreteDim")

  # Calculate the cross product
  ips <- fm_cprod(ips1, ips2)

  # Plot the integration points
  ggplot(ips) +
    geom_point(aes(myDim, myDiscreteDim, size = weight)) +
    scale_size_area()
}

# }