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#######################################################################
# arulesViz - Visualizing Association Rules and Frequent Itemsets
# Copyrigth (C) 2011 Michael Hahsler and Sudheer Chelluboina
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License along
# with this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
doubledecker_arules <- function(rules, measure ="support", data,
control=list(), ...) {
if(length(rules) != 1) stop("only can visualize one rule.")
if(is.null(data)) stop("Data missing.")
control <- .get_parameters(list(
main = "Doubledecker plot for 1 rule",
type = "doubledecker",
interactive = FALSE
), control)
table <- getTable(rules, data)
if(control$type=="doubledecker")
doubledecker(table, margins=c(2,8,length(dim(table) + 2), 2),
main = control$main, ...)
else {
control$main <- "Mosaic plot for 1 rule"
mosaic(table, highlighting = length(dim(table)),
main = control$main, ...)
}
}
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