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###########################################################################/**
# @RdocClass AromaUnitCallSet
#
# @title "The AromaUnitCallSet class"
#
# \description{
# @classhierarchy
#
# An AromaUnitCallSet object represents a set of
# @see "AromaUnitCallFile"s with \emph{identical} chip types.
# }
#
# @synopsis
#
# \arguments{
# \item{...}{Arguments passed to @see "AromaUnitSignalBinarySet".}
# }
#
# \section{Fields and Methods}{
# @allmethods "public"
# }
#
# @author
#*/###########################################################################
setConstructorS3("AromaUnitCallSet", function(...) {
extend(AromaUnitSignalBinarySet(...), "AromaUnitCallSet")
})
setMethodS3("findByName", "AromaUnitCallSet", function(static, ..., paths="callData/") {
NextMethod("findByName", paths=paths)
}, static=TRUE, protected=TRUE)
setMethodS3("byPath", "AromaUnitCallSet", function(static, ..., pattern=".*[.]acf$") {
suppressWarnings({
NextMethod("byPath", pattern=pattern)
})
}, static=TRUE, protected=TRUE)
setMethodS3("findUnitsTodo", "AromaUnitCallSet", function(this, ...) {
# Look into the last chip-effect file since that is updated last
df <- this[[length(this)]]
findUnitsTodo(df, ...)
})
setMethodS3("extractCallArray", "AromaUnitCallSet", function(this, ..., drop=FALSE) {
res <- NULL
for (kk in seq_along(this)) {
df <- this[[kk]]
values <- extractCalls(df, ..., drop=FALSE)
if (is.null(res)) {
dim <- dim(values)
dim[length(dim)] <- length(this)
res <- array(values[1], dim=dim)
}
res[,,kk] <- values
} # for (kk ...)
# Drop singletons?
if (drop) {
res <- drop(res)
}
res
})
setMethodS3("extractCalls", "AromaUnitCallSet", function(this, ...) {
extractCallArray(this, ...)
})
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