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### TODO: test dissimilarities between associations
verb <- FALSE
options(digits = 2)
data <- list(
c("a", "b", "c"),
c("a", "b"),
c("a", "b", "d"),
c("b", "e"),
c("a", "c"),
c("c", "e"),
c("a", "b", "d", "e")
)
names(data) <- paste("Tr", c(1:7), sep = "")
trans <- transactions(data)
a1 <- affinity(as(trans, "matrix"))
a2 <- affinity(trans)
builtin_methods <- c(
"jaccard",
# "affinity", # affinities are different. Needs more testing
"matching",
"dice",
"cosine",
"euclidean",
"pearson",
"phi"
)
for (m in builtin_methods) {
# compare sparse with dense version
d <- dissimilarity(trans, method = m)
expect_equal(dissimilarity(as(trans, "matrix"), method = m), d)
dx <- dissimilarity(trans, trans, method = m)
expect_identical(dissimilarity(as(trans, "matrix"), as(trans, "matrix"), method = m), dx)
expect_equivalent(as.dist(dx), d)
}
# test between items
d <- dissimilarity(trans, method = "jaccard", items = TRUE)
expect_equal(attr(d, "Size"), ncol(trans))
d <- dissimilarity(trans, trans, method = "jaccard", items = TRUE)
expect_equal(nrow(d), ncol(trans))
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