#########################################################################/**
# @RdocClass NotFilter
#
# @title "The NotFilter class"
#
# \description{
# @classhierarchy
#
# A NotFilter takes a set of indices from a single input and returns
# the complementary set of indices.
# }
#
# @synopsis
#
# \arguments{
# \item{input}{The input @see "Filter" to be connected to.}
# \item{...}{Any arguments accepted by the @see "Filter" constructor.}
# }
#
# \section{Fields and Methods}{
# @allmethods "public"
# }
#
#
# @author
#
# \examples{
# SMA$loadData("mouse.data")
# layout <- Layout$read("MouseArray.Layout.dat", path=system.file("data-ex", package="aroma"))
# raw <- RawData(mouse.data, layout=layout)
#
# ma <- getSignal(raw)
# normalizeWithinSlide(ma, "s")
# normalizeAcrossSlides(ma)
#
# tma <- as.TMAData(ma)
#
# fM <- MFilter(tma, top=0.05, col="red")
# fT <- TFilter(tma, top=0.05, col="blue")
# fNotSE <- SEFilter(tma, range=c(-Inf,0.02), col="yellow")
# fSE <- NotFilter(fNotSE, visible=FALSE)
# myFilter <- AndFilter(fM, fT, fSE, col="purple")
#
# plot(tma, "TvsSE");
# highlight(myFilter, recursive=TRUE);
# }
#
# \seealso{
# See also the @see "ParallelFilter" class.
# }
#
# \keyword{manip}
#*/#########################################################################
setConstructorS3("NotFilter", function(input, ...) {
if (missing(input)) input <- NULL;
extend(SerialFilter(input=input, ...), "NotFilter"
)
})
setMethodS3("getIndex", "NotFilter", function(this) {
excl <- getIndex(this$.input);
incl <- 1:attr(excl, "max");
idx <- setdiff(incl, excl);
attr(idx, "max") <- attr(excl, "max");
idx;
})
############################################################################
# HISTORY:
# 2002-02-26
# * Updated code to make use of setMethodS3's.
# 2001-07-13
# * Rearrange the class structure to contain Serial- and ParallelFilters.
# * Added some Rdoc comments.
# * Extended. Added plot paramters, recursive plotting etc.
# 2001-07-12
# * Created! Eventually I would like to have a SpeedGroupFilter,
# EisenFilter etc.
############################################################################
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