loadMSOrganizerXLM: #' load_MRMkit_csv #' #' @param data MidarExperiment object...

In SLINGhub/SLINGtools: Mass Spectrometry and Lipidomics Data Analysis in R

#' load_MRMkit_csv #' #' @param data MidarExperiment object #' @param filename file name of the MH CSV file #' #' @importFrom methods validObject #' #' @return MidarExperiment object #' @export #' #' load_MRMkit_csv <- function(data, filename) data@dataset_orig <- read_MRMkitCSV(filename, silent = FALSE) data@dataset <- data@dataset_orig %>% dplyr::left_join(data@annot_analyses, by = c("ANALYSIS_ID"="ANALYSIS_ID")) stopifnot(methods::validObject(data)) data Import metadata from the MSOrganizer template (.XLM)

Description

#' load_MRMkit_csv #' #' @param data MidarExperiment object #' @param filename file name of the MH CSV file #' #' @importFrom methods validObject #' #' @return MidarExperiment object #' @export #' #' load_MRMkit_csv <- function(data, filename) data@dataset_orig <- read_MRMkitCSV(filename, silent = FALSE) data@dataset <- data@dataset_orig %>% dplyr::left_join(data@annot_analyses, by = c("ANALYSIS_ID"="ANALYSIS_ID")) stopifnot(methods::validObject(data)) data Import metadata from the MSOrganizer template (.XLM)

Usage

loadMSOrganizerXLM(data, filename)

Arguments

data	MidarExperiment object
filename	file name and path

Value

MidarExperiment object

SLINGhub/SLINGtools documentation built on April 20, 2023, 5:09 a.m.