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https://github.com/ctlab/phantasus
21 September 2022, 07:59:32 UTC
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  • createES.R
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Generate software citation in BibTex format (requires biblatex-software package)
Generating citation ...
Generate software citation in BibTex format (requires biblatex-software package)
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Generate software citation in BibTex format (requires biblatex-software package)
Generating citation ...
Generate software citation in BibTex format (requires biblatex-software package)
Generating citation ...
Tip revision: 0c033b47255ebef5d3e17b1a3b4dee9a8abe6387 authored by Alexey Sergushichev on 27 February 2018, 15:55:49 UTC
js tests doesn't work on appveyor :(
Tip revision: 0c033b4
createES.R
#' Create ExpressionSet.
#'
#' \code{createES} function produces an ExpressionSet object from given data,
#'     and exports it to global scope.
#'
#' @param data Gene expression matrix.
#'
#' @param pData Matrix with phenotypical data.
#'
#' @param varLabels Names of phenoData columns.
#'
#' @param fData Matrix with feature data.
#'
#' @param fvarLabels Names of featureData columns.
#'
#' @return produced ExpressionSet object
#'
#' @import Biobase
#'
#' @examples
#' \dontrun{
#' data <- matrix(1:15, 5, 3)
#' pData <- c("A", "B", "C")
#' varLabels <- "cat"
#' fData <- c("p", "r", "s", "t", "u")
#' fvarLabels <- "id"
#' createES(data, pData, varLabels, fData, fvarLabels)
#' }
#'
createES <- function(data, pData, varLabels, fData, fvarLabels) {
    phenoData <- AnnotatedDataFrame(data.frame(pData))
    varLabels(phenoData) <- varLabels

    featureData <- AnnotatedDataFrame(data.frame(fData))
    varLabels(featureData) <- fvarLabels

    es <- ExpressionSet(assayData = data,
                        phenoData = phenoData,
                        featureData = featureData)
    assign("es", es, envir = parent.frame())
    es
}

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