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###########################################################################/**
# @RdocClass AromaUnitGenotypeCallSet
#
# @title "The AromaUnitGenotypeCallSet class"
#
# \description{
# @classhierarchy
#
# An AromaUnitGenotypeCallSet object represents a set of
# @see "AromaUnitGenotypeCallFile"s with \emph{identical} chip types.
# }
#
# @synopsis
#
# \arguments{
# \item{...}{Arguments passed to @see "AromaUnitCallSet".}
# }
#
# \section{Fields and Methods}{
# @allmethods "public"
# }
#
# @author
#*/###########################################################################
setConstructorS3("AromaUnitGenotypeCallSet", function(...) {
extend(AromaUnitCallSet(...), "AromaUnitGenotypeCallSet")
})
setMethodS3("byPath", "AromaUnitGenotypeCallSet", function(static, ..., pattern=".*,genotypes[.]acf$") {
suppressWarnings({
NextMethod("byPath", pattern=pattern)
})
}, protected=TRUE)
setMethodS3("byName", "AromaUnitGenotypeCallSet", function(static, name, tags=NULL, ..., chipType=NULL, pattern=".*,genotypes[.]acf$") {
suppressWarnings({
path <- findByName(static, name=name, tags=tags, chipType=chipType,
..., mustExist=TRUE)
})
suppressWarnings({
byPath(static, path=path, ..., pattern=pattern)
})
}, static=TRUE)
setMethodS3("extractGenotypeMatrix", "AromaUnitCallSet", function(this, ..., drop=FALSE, verbose=FALSE) {
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# Validate arguments
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# Argument 'verbose':
verbose <- Arguments$getVerbose(verbose)
if (verbose) {
pushState(verbose)
on.exit(popState(verbose))
}
verbose && enter(verbose, "Extracting genotypes across all arrays")
verbose && cat(verbose, "Number of files: ", length(this))
res <- NULL
for (kk in seq_along(this)) {
df <- this[[kk]]
verbose && enter(verbose, sprintf("File #%d ('%s') of %d",
kk, getName(df), length(this)))
values <- extractGenotypeMatrix(df, ..., drop=FALSE,
verbose=less(verbose,10))
verbose && str(verbose, values)
if (kk == 1) {
dim <- dim(values)
dim[length(dim)] <- length(this)
dimnames <- list(rownames(values), getNames(this))
res <- array(values[1], dim=dim, dimnames=dimnames)
}
res[,kk] <- values
verbose && exit(verbose)
} # for (kk ...)
# Drop singletons?
if (drop) {
res <- drop(res)
}
verbose && exit(verbose)
res
})
setMethodS3("extractGenotypes", "AromaUnitGenotypeCallSet", function(this, ...) {
extractGenotypeMatrix(this, ...)
})
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