Nothing
preferenceRange.matrix <- function(s, exact=FALSE)
{
if (ncol(s) != nrow(s))
stop("'s' must be a square matrix")
diag(s) <- 0
if (length(which(s == -Inf)) > 0)
warning("similarity matrix 's' contains -Inf similarities; ",
"lower bound may not correspond to 1 or 2 clusters")
.Call("preferenceRangeC", s, as.logical(exact)[1], PACKAGE="apcluster")
}
setMethod("preferenceRange", signature(s="matrix"), preferenceRange.matrix)
preferenceRange.dgTMatrix <- function(s, exact=FALSE)
{
if (ncol(s) != nrow(s))
stop("'s' must be a square matrix")
## remove diagonal elements and -Inf from s
remElem <- which(s@i == s@j | s@x == -Inf)
if (length(remElem) > 0)
{
s@i <- s@i[-remElem]
s@j <- s@j[-remElem]
s@x <- s@x[-remElem]
}
.Call("preferenceRangeSparseC", s@i, s@j, s@x, nrow(s),
as.logical(exact)[1], PACKAGE="apcluster")
}
setMethod("preferenceRange", signature(s="dgTMatrix"),
preferenceRange.dgTMatrix)
preferenceRange.otherSparse <- function(s, exact=FALSE)
{
s <- try(as(as(s, "TsparseMatrix"), "dgTMatrix"))
if (is(s, "try-error"))
stop("cannot cast 's' (class '", class(s), "') to class 'dgTMatrix'")
preferenceRange.dgTMatrix(s=s, exact=exact)
}
setMethod("preferenceRange", signature(s="sparseMatrix"),
preferenceRange.otherSparse)
preferenceRange.otherDense <- function(s, exact=FALSE)
{
s <- try(as(s, "matrix"))
if (is(s, "try-error"))
stop("cannot cast 's' (class '", class(s), "') to class 'matrix'")
preferenceRange.matrix(s=s, exact=exact)
}
setMethod("preferenceRange", signature(s="Matrix"),
preferenceRange.otherDense)
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