```
#' Find the sets within a sample_selection object that meet some criterion.
#'
#' @param sample_selection_object A list of admissable samples, created by a create_set() function (create_set_spatial_buffer() etc.)
#' @param criteria A vector of criteria to be met
#' @return A list of admissable sets of units that meet the spatial criterion.
#' @export
find_sets <- function(sample_selection_object,criteria){
if(!class(sample_selection_object)=="sample_selection")
stop("sample_selection_object must be a sample_selection object, created with a create_set() function.")
# Put all the constituent find_set functions in here
return ("Some stuff.")
}
#' Find the biggest sets within a sample_selection object
#'
#' @param sample_selection_object A list of admissable samples, created by a create_set() function (create_set_spatial_buffer() etc.)
#' @return A list of the biggest admissable sets.
#' @export
find_sets_biggest <- function(sample_selection_object){
if(!class(sample_selection_object)=="sample_selection")
stop("sample_selection_object must be a sample_selection object, created with a create_set() function.")
set_lengths <- sapply(sample_selection_object,length)
maximal_sets <- sample_selection_object[which(set_lengths==max(set_lengths))]
return (maximal_sets)
}
#' Find the sets that are above a given percentile of the distribution of total distances between units within a sample_selection object
#' #'
#' @param sample_selection_object A list of admissable samples, created by a create_set() function (create_set_spatial_buffer() etc.)
#' @param distance_matrix A distance matrix, see function create_distance_matrix()
#' @param prob A probability, the function finds all sets that fall above the corresponding quantile of the distribution of total distances between units among the sets within a sample_selection object
#' @return A list of the admissable sets that maximize the distance between the units in the set.
#' @export
find_sets_total_distance <- function(sample_selection_object, distance_matrix, prob=1) {
if(!class(sample_selection_object)=="sample_selection")
stop("sample_selection_object must be a sample_selection object, created with a create_set() function.")
set_total_distances <- calculate_total_or_average_distances(sample_selection_object, distance_matrix, total=TRUE)
sets_distance <- sample_selection_object[which(set_total_distances>=quantile(set_total_distances, prob))]
return(sets_distance)
}
```

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