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#########################################################################/**
# @set "class=matrix"
# @RdocMethod intervalsToSeq
#
# @title "Generates a vector of indices from a matrix of intervals"
#
# \description{
# @get "title".
# }
#
# @synopsis
#
# \arguments{
# \item{fromTo}{An Nx2 @integer @matrix.}
# \item{sort}{If @TRUE, the returned indices are ordered.}
# \item{unique}{If @TRUE, the returned indices are unique.}
# \item{...}{Not used.}
# }
#
# @author
#
# \examples{\dontrun{See example(seqToIntervals)}}
#
# \seealso{
# @see "seqToIntervals".
# }
#
# @keyword "attribute"
#*/#########################################################################t
setMethodS3("intervalsToSeq", "matrix", function(fromTo, sort=FALSE, unique=FALSE, ...) {
# Argument 'fromTo':
if (ncol(fromTo) != 2) {
throw("Argument 'fromTo' is not a two-column matrix: ", ncol(fromTo));
}
if (!is.numeric(fromTo)) {
throw("Argument 'fromTo' is not a numeric matrix: ", mode(fromTo));
}
# Pre-allocate result vector
ns <- fromTo[,2] - fromTo[,1] + as.integer(1);
n <- sum(ns);
res <- vector("integer", n);
offset <- as.integer(0);
for (rr in seq_len(nrow(fromTo))) {
# Sequence for current interval
idxs <- offset + 1:ns[rr];
res[idxs] <- fromTo[rr,1]:fromTo[rr,2];
# Not needed anymore
idxs <- NULL;
# Next interval
offset <- offset + ns[rr];
}
# Return unique indices?
if (unique) {
res <- unique(res);
}
# Return sorted indices?
if (sort) {
res <- sort(res);
}
res;
})
###########################################################################
# HISTORY:
# 2008-07-01
# o Created.
###########################################################################
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