dot-check_subspaces_for_group_size_setup: Searches over all possible subspaces for specified group size...
In ldamatch: Selection of Statistically Similar Research Groups

Description Usage Arguments Value

Results are optimized for the following, in decreasing order of preference: number of subjects; proportion of group sizes close to props; p-value as large as possible.

.check_subspaces_for_group_size_setup(
  best,
  grpsize_setup,
  sspace,
  condition,
  covariates,
  halting_test,
  thresh,
  print_info
)

`best`	The best matched groups so far together with its p-value / thresh ratio; a list containing ratio and sets (a list of subject index vectors).
`grpsize_setup`	A set of group sizes as a data.table row (also a list).
`sspace`	An ordered subject subspace: a list of vectors, with one vector per group containing the corresponding subject indices.
`condition`	A factor vector containing condition labels.
`covariates`	A columnwise matrix containing covariates to match the conditions on.
`halting_test`	A function to apply to 'covariates' (in matrix form) which is TRUE iff the conditions are matched. Signature: halting_test(condition, covariates, thresh). The following halting tests are part of this package: `t_halt`, `U_halt`, `l_halt`, `ad_halt`, `ks_halt`, `wilks_halt`, `f_halt`. You can create the intersection of two or more halting tests using `create_halting_test`.
`thresh`	The return value of halting_test has to be greater than or equal to thresh for the matched groups.
`print_info`	If TRUE, prints summary information on the input and the results, as well as progress information for the exhaustive search and random algorithms. Default: TRUE; can be changed using `set_param("PRINT_INFO", FALSE)`.