partial_forder: Functional ordering in parts

View source: R/forder.r

partial_forderR Documentation

Functional ordering in parts

Description

If the functional data doesn't comfortably fit in memory it is possible to compute functional ordering by splitting the domain of the data (voxels in a brain image), using partial_forder on each part and finally combining the results with combine_forder.

Usage

partial_forder(
  curve_set,
  measure = c("erl", "rank", "cont", "area"),
  alternative = c("two.sided", "less", "greater")
)

combine_forder(ls)

Arguments

curve_set

A curve_set object, usually a part of a larger curve_set.

measure

The measure to use to order the functions from the most extreme to the least extreme one. Must be one of the following: 'rank', 'erl', 'cont', 'area', 'max', 'int', 'int2'. Default is 'erl'.

alternative

A character string specifying the alternative hypothesis. Must be one of the following: "two.sided" (default), "less" or "greater". The last two options only available for types 'rank', 'erl', 'cont' and 'area'.

ls

List of objects returned by partial_forder

Value

See forder

See Also

forder

Examples

data("abide_9002_23")
res <- lapply(list(1:100, 101:200, 201:261), function(part) {
  set.seed(123) # When using partial_forder, all parts must use the same seed.
  fset <- frank.flm(nsim=99, formula.full = Y ~ Group + Sex + Age,
                  formula.reduced = Y ~ Group + Sex,
                  curve_sets = list(Y = abide_9002_23$curve_set[part,]),
                  factors = abide_9002_23$factors, savefuns = "return")
  partial_forder(fset, measure="erl")
})
combine_forder(res)

GET documentation built on Nov. 16, 2022, 5:09 p.m.