#' Ensure all SNPs have frq score above threshold
#'
#' @inheritParams format_sumstats
#' @param log_files list of log file locations
#' @return list containing sumstats_dt, the modified summary statistics data
#' table object and the log file list
#' @keywords internal
check_frq <- function(sumstats_dt, path, FRQ_filter, log_folder_ind,
check_save_out, tabix_index, nThread, log_files) {
FRQ <- NULL
col_headers <- names(sumstats_dt)
if ("FRQ" %in% col_headers && FRQ_filter > 0) {
message("Filtering SNPs based on FRQ.")
# use data table for speed
num_bad_ids <- nrow(sumstats_dt[FRQ < FRQ_filter, ])
if (num_bad_ids > 0) {
msg <- paste0(
formatC(num_bad_ids, big.mark = ","), " SNPs",
" are below the FRQ threshold of ", FRQ_filter,
" and will be removed."
)
message(msg)
# If user wants log, save it to there
if (log_folder_ind) {
name <- "frq_filter"
name <- get_unique_name_log_file(
name = name,
log_files = log_files
)
write_sumstats(
sumstats_dt = sumstats_dt[FRQ < FRQ_filter, ],
save_path =
paste0(
check_save_out$log_folder,
"/", name,
check_save_out$extension
),
sep = check_save_out$sep,
#don't tab indx as could be miss values & cause err
#tabix_index = tabix_index,
nThread = nThread
)
log_files[[name]] <-
paste0(
check_save_out$log_folder, "/", name,
check_save_out$extension
)
}
sumstats_dt <- sumstats_dt[FRQ >= FRQ_filter, ]
}
return(list("sumstats_dt" = sumstats_dt, "log_files" = log_files))
} else {
return(list("sumstats_dt" = sumstats_dt, "log_files" = log_files))
}
}
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