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#######################################################################
##
## Function: anchors.rank()
## Author : Jonathan Wand <wand(at)stanford.edu>
## Created : 2008-05-01
##
## INPUT:
## adata : object of class anchors.data
# fdata : original dataframe
## type : B or C
##
#######################################################################
anchors.B <- function(adata, fdata, options) {
mf0 <- match.call(expand.dots = FALSE)
mf0[[1]] <- as.name("anchors.rank")
mf0$type <- "B"
rank <- eval(mf0, parent.frame())
return(rank)
}
anchors.C <- function(adata, fdata, options) {
mf0 <- match.call(expand.dots = FALSE)
mf0[[1]] <- as.name("anchors.rank")
mf0$type <- "C"
rank <- eval(mf0, parent.frame())
return(rank)
}
anchors.rank <- function(adata, fdata, type, options) {
ra <- me <- cp <- su <- NULL
if (options$debug > 0) cat("anchors.rank: Get ranks\n")
ra <- anchors.rank.type(adata, type, debug=options$debug)
SkipExtra <- "none" %in% options$rank.extras
## BREAKING TIES: uniform and omit
## and get other summary information
if (options$debug > 0) cat("anchors.rank: Get summary\n")
su <- summary.anchors.rank.type( ra )
## BREAKING TIES: minentropy
## calculate allocation per minimum entropy
if (options$debug > 0) cat("anchors.rank: Get minentropy\n")
if (!SkipExtra && "minentropy" %in% options$rank.extras)
me <- minimum.entropy(ra, debug=options$debug )
## BREAKING TIES: cpolr
## need to do some data massaging for cpolr
if (options$debug > 0) {
cat("anchors.rank: Get cpolr\n")
}
if (!SkipExtra && "cpolr" %in% options$rank.extras && !is.null(adata$formula$cpolr)) {
fdata <- trim.data(fdata, adata)
fdata <- insert(fdata , ra )
if (type == "C")
fo <- as.formula( paste("cbind(Cs,Ce) ~",as.character( adata$formula$cpolr)[2] ))
if (type == "B")
fo <- as.formula( paste("cbind(Bs,Be) ~",as.character( adata$formula$cpolr)[2] ))
if (options$debug > 0) print(fo)
cp <- cpolr( fo, data=fdata, method = options$cpolr.method, debug=options$debug )
}
out <- list(rank=ra, summary = su, minentropy = me, cpolr = cp, type=type)
class(out) <- "anchors.rank"
return(out)
}
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