search_heuristic

An ordered subject subspace: a list of vectors,
with one vector per group containing the corresponding subject indices.

sspace

A factor vector containing condition labels.

condition

A vector or columnwise matrix containing
                     covariates to match the conditions on.

covariates

A function to apply to `covariates` (in matrix form)
                     which is TRUE iff the conditions are matched.

halting_test

The statistical threshold to pass onto the
                     aforementioned test.

thresh

The desired proportions (percentage) of the sample for
                     each condition; if not specified, the (full)
                     sample proportions are used. This is used
                     for the "heuristic" and "exhaustive" methods.

props

At each vertex of the search graph, this takes a step which moves the
proportions of conditions in the subspace closer to the desired
(or sample) proportions.

Performs group matching by backward elimination using linear discriminant analysis.

search_heuristic: At each vertex of the search graph, this takes a step which moves the proportions of conditions in the subspace closer to the desired (or sample) proportions.

Description

Usage

Arguments