R/data.R

In liucaomics/genuMet: distinguish genuine signal of untargeted metabolites from measurement artifacts without QC samples

#' @title Simulated metabolomics data
#'
#' @description Simulated metabolomics dataset. The csv file consists of four parts.
#' The top-left of the table is blank. The top-right is row headers.
#' The down-left is column headers. And the down-right is metbolites signal.
#'
#' @usage data(simdata)
#'
#' @format Row headers:
#' \describe{
#' \item{date extracted}{The date the corresponding sample is processed.}
#' \item{Column}{The id of column that the sample is injected into. }
#' \item{injection order}{The injection order of the sample.}
#' }
#'
#' Column headers:
#' \describe{
#' \item{metabolite}{Metabolite id.}
#' \item{method}{Experiment method.}
#' \item{HMDB id}{The id of the metabolite in HMDB.}
#' \item{mz}{Mass to charge ratio.}
#' \item{rt}{Retention time.}
#' \item{comment}{Comments for the metabolite.}
#' \item{processing compound id}{Processing compound id.}
#' }
"simdata"