mmpf: makeDesign – R documentation

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makeDesign

make a uniform, random, or user-specified grid over some columns of a data.frame, and combine it with a grid of points to integrate over.

Description

makes a uniform, random, or user-specified grid over some columns of a data.frame and takes their Cartesian product with the other columns

Usage

makeDesign(data, vars, n, uniform = TRUE, points, int.points)

Arguments

`data`	a `data.frame` which must contain `vars` as well as at least one other column
`vars`	character vector the columns in data to create the grid for
`n`	two dimensional integer vector giving the resolution of the grid. the first element gives the grid on `vars` and the second on the other columns, which are sampled without replacement.
`uniform`	logical, indicates whether a uniform grid is to be constructed.
`points`	a named list which gives specific points for `vars`.
`int.points`	a integer vector giving indices of the points in `data` to marginalize over.

Value

a data.frame with at most n dimensions.

Examples

data = data.frame(w = seq(0, 1, length.out = 5),
  x = factor(letters[1:5]),
  y = ordered(1:5),
  z = 1:5,
  r = letters[1:5],
  stringsAsFactors = FALSE)
makeDesign(data, "z", c(10, 5), TRUE)

mmpf

Monte-Carlo Methods for Prediction Functions

v0.0.5

MIT + file LICENSE

Authors

Zachary Jones [aut, cre]

Initial release

2018-10-23