#' Installs brainarray CDF and probe information packages
#'
#' This package downloads, installs, and/or loads the brainarray CDF and probe
#' enviroments from the Brainarray website.
#'
#' @param array_type A character of length 1 giving the giving the name of the'
#' array. (Preferably as returned by \code{affyio::read.celfile.header})
#' @param custom_cdf A charcter giving the annotation type.
#' @param version A character of length 1 giving the version to download.
#' @return Invisibly returns a list of the locations of the saved files.
#' @author
#' Steffen Falgreen,
#' Anders Ellern Bilgrau
#' @seealso \code{\link{tempdir}}, \code{\link{install.packages}}
#' @references
#' See \url{http://brainarray.mbni.med.umich.edu}.
#' @examples
#' tmp.path <- requireBrainarray("hgu133a", custom_cdf = "enst",
#' version = "18.0.0")
#' print(tmp.path)
#' tmp.path2 <- requireBrainarray("hgu133a", custom_cdf = "enst")
#' print(tmp.path2)
#' @import AnnotationDbi
#' @export
requireBrainarray <- function(array_type,
custom_cdf = "enst",
version = getLatestVersion()) {
output <- list()
brain_dat <- output[["brain_dat"]] <-
readBrainarrayTable(custom_cdf = custom_cdf, version = version)
base_url <- attributes(brain_dat)$base_url
if (getSubversion(version) >= 19) {
base_url <- paste0("http://mbni.org/customcdf/", version, "/",
tolower(custom_cdf))
}
pkgs <- getBrainarrayPackages(brain_dat, array_type = array_type)
for (pkg in pkgs) {
loaded <- suppressWarnings(require(pkg, character.only = TRUE))
if (!loaded || packageVersion(pkg) != version) {
if (loaded) {
message("Installed package version is not ", version,
". Overwriting installed package.", sep = "")
}
file.pkg <- paste0(pkg, "_", version, ".tar.gz")
# Construct url and download package
pkg_url <- file.path(paste0(base_url, ".download"), file.pkg)
pkg_dest <- output[[pkg]] <- file.path(tempdir(), file.pkg)
download.file(url = pkg_url, destfile = pkg_dest)
# Install and load package
install.packages(pkgs = pkg_dest, repos = NULL, type = "source")
require(pkg, character.only = TRUE)
}
}
return(invisible(output))
}