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#'@title Calculate Split Plot Columns
#'
#'@description Calculates which columns correspond to which layers of randomization restriction
#'@param run_matrix_processed The design
#'@return Vector of numbers indicating split plot layers
#'@keywords internal
calculate_split_columns = function(run_matrix_processed, blockgroups, blockstructure) {
lowest_level = length(blockgroups) + 1
splitlayer = rep(lowest_level,ncol(run_matrix_processed))
allsplit = TRUE
for (i in seq_len(length(blockgroups))) {
isblockcol = rep(TRUE,ncol(run_matrix_processed))
temp_block_str = blockgroups[[i]]
temp_block_str_names = names(temp_block_str)
for (j in seq_len(length(temp_block_str))) {
block_name = temp_block_str_names[j]
if (temp_block_str[j] - 1 > 0) {
block_idx = which(blockstructure[,i] == block_name)
is_constant = lapply(apply(run_matrix_processed[block_idx,, drop = FALSE], 2, unique, simplify = FALSE), length) == 1
isblockcol = isblockcol & is_constant
}
}
if(length(splitlayer[isblockcol & splitlayer == lowest_level]) < 1) {
allsplit = FALSE
}
splitlayer[isblockcol & splitlayer == lowest_level] = i
}
#Now this also returns the level each layer is nested in (zero indicating intercept)
return(list(splitlayer=splitlayer, allsplit=allsplit))
}
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