search_random: Searches by randomly selecting subspaces with decreasing...

In ldamatch: Selection of Statistically Similar Research Groups

Description

Searches by randomly selecting subspaces with decreasing expected size.

Usage

search_random(
  condition,
  covariates,
  halting_test,
  thresh,
  props,
  max_removed_per_cond,
  tiebreaker = NULL,
  replicates,
  prefer_test = TRUE,
  print_info = TRUE,
  given_args = NULL,
  ...
)

Arguments

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.
props	Either the desired proportions (percentage) of the sample for each condition as a named vector, or the names of the conditions for which we prefer to preserve the subjects, in decreasing order of preference. If not specified, the (full) sample proportions are used. This is preferred among configurations with the same taken into account by the other methods to some extent. For example, c(A = 0.4, B = 0.4, C = 0.2) means that we would like the number of subjects in groups A, B, and C to be around 40%, 40%, and 20% of the total number of subjects, respectively. Whereas c("A", "B", "C") means that if possible, we would like to keep all subjects in group A, and prefer keeping subjects in B, even if it results in losing more subjects from C.
max_removed_per_cond	The maximum number of subjects that can be removed from each group. It must have a valid number for each group.
tiebreaker	NULL, or a function similar to halting_test, used to decide between cases for which halting_test yields equal values.
replicates	The maximum number of random replications to be performed. This is only used for the "random" method.
prefer_test	If TRUE, prefers higher test statistic more than the expected group size proportion; default is TRUE. Used by all algorithms except exhaustive, which always
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).
given_args	The names of arguments given to the search function.
...	Consumes extra parameters that are not used by the search algorithm at hand; this function gives a warning about the ones whose value is not NULL that their value is not used.

Value

All results found by search method in a list. It raises a

ldamatch documentation built on May 23, 2021, 5:06 p.m.