context("Tests of function corrmat")
testmatrixrand1 <- data.frame(
matrix(base::sample(0:1, 400, replace = T), nrow = 20, ncol = 20),
check.names = FALSE
)
test_that(
"the output of corrmat is a data.frame", {
expect_equal(
is.data.frame(corrmat(testmatrixrand1, dim = 1)),
TRUE
)
expect_equal(
is.data.frame(corrmat(testmatrixrand1, dim = 2)),
TRUE
)
}
)
testmatrix2 <- data.frame(
c1 = c(5, 0, 0, 0, 1, 1),
c2 = c(5, 0, 0, 0, 1, 1),
c3 = c(5, 1, 7, 0, 0, 2),
c4 = c(5, 6, 7, 0, 0, 0),
c5 = c(5, 3, 2, 0, 0, 3),
c6 = c(0, 6, 1, 0, 0, 0),
c7 = c(0, 1, 1, 1, 0, 0)
)
testmatrix2 <- quantAAR::booleanize(testmatrix2)
test_that(
"the output of corrmat is a data.frame with the correct width and heigth", {
expect_equal(
length(newcorrtable(testmatrix2, dim = 1)),
length(testmatrix2)
)
expect_equal(
length(newcorrtable(testmatrix2, dim = 2)),
nrow(testmatrix2)
)
}
)
test_that(
"the different methods of corrmat are calculated correctly", {
expect_equal(
corrmat(testmatrix2, "chi2", chi2limit = 0.2)[5, 3],
1
)
expect_equal(
round(corrmat(testmatrix2, "phi", chi2limit = 0.2)[5, 3], 3),
0.625
)
expect_equal(
round(corrmat(testmatrix2, "cc", chi2limit = 0.2)[5, 3], 3),
0.53
)
expect_equal(
round(corrmat(testmatrix2, "lambda", chi2limit = 0.2)[5, 3], 3),
1
)
}
)
test_that(
"the removal of negative relations in corrmat works", {
expect_equal(
corrmat(testmatrix2, "chi2", chi2limit = 0.2)[1, 7],
1
)
expect_equal(
corrmat(testmatrix2, "chi2", chi2limit = 0.2, rmnegniv = 0.1)[1, 7],
0
)
}
)
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