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#' Split Clusters to List
#'
#' @export
#' @description
#' `split_clusters_to_list()` will extract clusters from the
#' cluster generated `data.frame`. It will then turn those clusters
#' into a list. This allows users to more easily visualize their data.
#' @param cluster The output generated from the `cluster()` function.
#' @examples
#'
#' cutoff <- 0.2
#' count_table <- read_count(example_path("amazon.full.count_table"))
#' distance_data <- read_dist(example_path("amazon_column.dist"),
#' count_table, cutoff, FALSE)
#' cluster_results <- cluster(distance_data, cutoff, method = "opticlust")
#'
#' cluster_list <- split_clusters_to_list(cluster_results)
#' @return a named `list` of clusters.
split_clusters_to_list <- function(cluster) {
ls <- c()
cluster_df <- get_bins(cluster)
size <- nrow(cluster_df)
for (i in 1:size) {
ls[[cluster_df[[2]][[i]]]] <-
as.list(el(strsplit(cluster_df[[1]][[i]], ",")))
}
return(ls)
}
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