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\name{makeIntersectList}
\alias{makeIntersectList}
\title{Count set intersections}
\description{Create a list of set intersections from a matrix of indicators}
\usage{
makeIntersectList(x,xnames=NULL)
}
\arguments{
\item{x}{A data frame or matrix where rows represent objects and columns
attributes. A \samp{1} or \samp{TRUE} indicates that the object (row) has
that attribute or is a member of that set (column).}
\item{xnames}{Optional user-supplied names for the categories of x.}
}
\details{
\samp{makeIntersectList} reads a matrix (or data frame) containing only
dichotomous values (either 0/1 or FALSE/TRUE). Each row represents an object
and each column represents a set. A value of 1 or TRUE indicates that that
object is a member of that set. The function creates a list of vectors that
correspond to all combinations of the sets (set intersections) and inserts the
counts of elements in each combination. If a row of the matrix is all zeros,
it will not be counted, but the last element of the list returned contains the
count of rows in \samp{x} and thus non-members can be calculated.
makeIntersectList combines the set or attribute names to form
intersection names. For the intersection of sets A and B, the name will
be AB and so on. These are the names that will be displayed by
intersectDiagram. To change these, use the \samp{xnames} argument.
}
\value{
A list of the intersection counts or percentages and the total number of
objects.
}
\keyword{misc}
\author{Jim Lemon}
\seealso{\link{intersectDiagram}, \link{pasteCols}}
\examples{
# create a matrix where each row represents an element and
# a 1 (or TRUE) in each column indicates that the element is a member
# of that set.
setdf<-data.frame(A=sample(c(0,1),100,TRUE,prob=c(0.7,0.3)),
B=sample(c(0,1),100,TRUE,prob=c(0.7,0.3)),
C=sample(c(0,1),100,TRUE,prob=c(0.7,0.3)),
D=sample(c(0,1),100,TRUE,prob=c(0.7,0.3)))
setdflist<-makeIntersectList(setdf)
setdflist
}
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