R/SnpChipEffectSet.extractTotalAndFreqB.R

In aroma.affymetrix: Analysis of Large Affymetrix Microarray Data Sets

setMethodS3("extractTotalAndFreqB", "CnChipEffectSet", function(this, units=NULL, ..., drop=FALSE, verbose=FALSE) {
  # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
  # Validate arguments
  # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
  cdf <- getCdf(this)

  # Argument 'units':
  if (is.null(units)) {
    nbrOfUnits <- nbrOfUnits(cdf)
    ugcMap <- NULL
  } else if (isUnitGroupCellMap(units)) {
    ugcMap <- units
    units <- unique(ugcMap[,"unit"])
    nbrOfUnits <- length(units)
    # Not needed anymore
    units <- NULL
  } else {
    units <- Arguments$getIndices(units, max=nbrOfUnits(cdf))
    nbrOfUnits <- length(units)
    ugcMap <- NULL
  }

  # Argument 'verbose':
  verbose <- Arguments$getVerbose(verbose)
  if (verbose) {
    pushState(verbose)
    on.exit(popState(verbose))
  }


  verbose && enter(verbose, "Extracting (total, freqB)")

  # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
  # Identify possible groups
  # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
  if (this$combineAlleles && this$mergeStrands) {
    # theta == (theta)
    groups <- 1
  } else if (this$combineAlleles && !this$mergeStrands) {
    # theta == (theta+, theta-)
    groups <- c(1,3)
  } else if (!this$combineAlleles && this$mergeStrands) {
    # theta == (thetaA, thetaB)
    groups <- c(1,2)
  } else if (!this$combineAlleles && !this$mergeStrands) {
    # theta == (thetaA+, thetaB+, thetaA-, thetaB-)
    groups <- c(1,2,3,4)
  }

  # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
  # Get the UGC map
  # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
  if (is.null(ugcMap)) {
    verbose && enter(verbose, "Getting (unit, group, cell) map")
    ugcMap <- getUnitGroupCellMap(this, units=units, verbose=less(verbose))
    verbose && exit(verbose)
  }

  if (!is.null(groups)) {
    idxs <- which(ugcMap$group %in% groups)
    ugcMap <- ugcMap[idxs,,drop=FALSE]
  } else {
    groups <- sort(unique(ugcMap$group))
  }

  verbose && cat(verbose, "Using (unit,group,cell) map:")
  verbose && str(verbose, ugcMap)


  # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
  # Read data
  # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
  nbrOfArrays <- length(this)
  dim <- c(nbrOfUnits, 2, nbrOfArrays)
  dimnames <- list(NULL, c("total", "freqB"), getNames(this))
  data <- array(NA_real_, dim=dim, dimnames=dimnames)

  for (kk in seq_len(nbrOfArrays)) {
    ce <- this[[kk]]
    dataKK <- extractTotalAndFreqB(ce, units=ugcMap, ...,
                                                verbose=less(verbose, 5))
    verbose && str(verbose, dataKK)
    data[,,kk] <- dataKK
    # Not needed anymore
    dataKK <- NULL
  }
  # Not needed anymore
  ugcMap <- NULL

  # Drop singleton dimensions?
  if (drop) {
    data <- drop(data)
  }

  verbose && cat(verbose, "Results:")
  verbose && str(verbose, data)

  verbose && exit(verbose)

  data
})





setMethodS3("extractTotalAndFreqB", "SnpChipEffectSet", function(this, units=NULL, ..., drop=FALSE, verbose=FALSE) {
  # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
  # Validate arguments
  # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
  cdf <- getCdf(this)

  # Argument 'units':
  if (is.null(units)) {
    nbrOfUnits <- nbrOfUnits(cdf)
    ugcMap <- NULL
  } else if (isUnitGroupCellMap(units)) {
    ugcMap <- units
    units <- unique(ugcMap[,"unit"])
    nbrOfUnits <- length(units)
    # Not needed anymore
    units <- NULL
  } else {
    units <- Arguments$getIndices(units, range=c(1, nbrOfUnits(cdf)))
    nbrOfUnits <- length(units)
    ugcMap <- NULL
  }

  # Argument 'verbose':
  verbose <- Arguments$getVerbose(verbose)
  if (verbose) {
    pushState(verbose)
    on.exit(popState(verbose))
  }



  verbose && enter(verbose, "Extracting (total, freqB)")

  # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
  # Identify possible groups
  # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
  if (this$mergeStrands) {
    # theta == (thetaA, thetaB)
    groups <- c(1,2)
  } else {
    # theta == (thetaA+, thetaB+, thetaA-, thetaB-)
    groups <- c(1,2,3,4)
  }

  # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
  # Get the UGC map
  # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
  if (is.null(ugcMap)) {
    verbose && enter(verbose, "Getting (unit, group, cell) map")
    ugcMap <- getUnitGroupCellMap(this, units=units, verbose=less(verbose))
    verbose && exit(verbose)
  }

  if (!is.null(groups)) {
    idxs <- which(ugcMap$group %in% groups)
    ugcMap <- ugcMap[idxs,,drop=FALSE]
  } else {
    groups <- sort(unique(ugcMap$group))
  }

  verbose && cat(verbose, "Using (unit,group,cell) map:")
  verbose && str(verbose, ugcMap)


  # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
  # Read data
  # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
  nbrOfArrays <- length(this)
  dim <- c(nbrOfUnits, 2, nbrOfArrays)
  dimnames <- list(NULL, c("total", "freqB"), getNames(this))
  data <- array(NA_real_, dim=dim, dimnames=dimnames)

  for (kk in seq_len(nbrOfArrays)) {
    ce <- this[[kk]]
    dataKK <- extractTotalAndFreqB(ce, units=ugcMap, ...,
                                                verbose=less(verbose, 5))
    verbose && str(verbose, dataKK)
    data[,,kk] <- dataKK
    # Not needed anymore
    dataKK <- NULL
  }
  # Not needed anymore
  ugcMap <- NULL

  # Drop singleton dimensions?
  if (drop) {
    data <- drop(data)
  }

  verbose && cat(verbose, "Results:")
  verbose && str(verbose, data)

  verbose && exit(verbose)

  data
})