#' Store \code{fullSS_dat}
#'
#' Save downsampled genome-wide summary statistics from different GWAS to disk.
#'
#' \itemize{
#' \item{"Nalls2019"}{Parkinson's Disease GWAS from
#' \href{https://doi.org/10.1016/S1474-4422(19)30320-5}{
#' Nalls et al. 2019} (excluding 23andMe data).}
#' \item{"Kunkle2019"}{Alzheimer's Disease GWAS from
#' \href{https://doi.org/10.1038/s41588-019-0358-2}{
#' Kunkle et al. 2019}.}
#' }
#'
#' @param save_dir Path to save the example summary statistics to.
#' It is usually best to provide the absolute path
#' rather than the relative path.
#' @param dataset Name of the example GWAS dataset to use.
#' @param nThread Number of threads to use.
#' @param verbose Print messages.
#'
#' @return Path to saved summary statistics file.
#'
#' @export
#' @examples
#' fullSS_path <- example_fullSS()
example_fullSS <- function(save_dir = tempdir(),
dataset = c("Nalls2019", "Kunkle2019"),
nThread = 1,
verbose = TRUE) {
dataset <- tolower(dataset[1])
fullSS_path <- file.path(
save_dir,
paste0(dataset, ".fullSS_subset.tsv")
)
dat <- if (dataset == "kunkle2019") {
get_Kunkle2019()
} else if (dataset == "nalls2019") {
get_Nalls2019()
} else {
all_datasets <- c("Nalls2019", "Kunkle2019")
stop_msg <- paste0(
"dataset must be one of:\n",
paste0(" - ", all_datasets, collapse = "\n")
)
stop(stop_msg)
}
messager("Writing file to ==>", fullSS_path, v = verbose)
dir.create(dirname(fullSS_path),
showWarnings = FALSE, recursive = TRUE
)
data.table::fwrite(
x = dat,
file = fullSS_path,
nThread = nThread,
sep = "\t"
)
return(fullSS_path)
}
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