R/protNSA_test.r

In mooredf22/protlocassign0p1p1: Compute constrained proportional assignments for fractionated protein abundance

#' Test data set with marker NSA data and also the TLN1 NSA profile
#'
#' Data from the TMT MS2 data, AT5 experiment; see Tannous et al
#'
#' @docType data
#' @format a test data set
#'
#' \describe{
#'   \item{\code{N}}{a numeric vector}
#'   \item{\code{M}}{a numeric vector}
#'   \item{\code{L1}}{a numeric vector}
#'  \item{\code{L2}}{a numeric vector}
#'   \item{\code{P}}{a numeric vector}
#'   \item{\code{S}}{a numeric vector}
#'   \item{\code{Nyc1}}{a numeric vector}
#'   \item{\code{Nyc2}}{a numeric vector}
#'   \item{\code{Nyc3}}{a numeric vector}
#'   \item{\code{Nspectra}}{a numeric vector}
#'   \item{\code{Npep}}{a numeric vector}
#' }
#' @keywords datasets
#'
#' @references Tannous, A.; Boonen, M.; Zheng, H.; Zhao, C.; Germain, C. J.; Moore, D. F.;
#'  Sleat, D. E.; Jadot, M.; Lobel, P., Comparative Analysis of
#'  Quantitative Mass Spectrometric Methods for Subcellular Proteomics.
#'  J Proteome Res 2020, 19, (4), 1718-1730.
#'
#' @examples
#' str(protNSA_test)
"protNSA_test"