# Correspondence Analysis ======================================================
cts <- matrix(data = sample(1:10, 100, TRUE), ncol = 5)
res <- ca(cts, sup_row = 10:15)
s0 <- summary(res)
expect_inherits(s0, "MultivariateSummary")
expect_stdout(show(s0))
s1 <- summary(res, active = TRUE, sup = FALSE)
expect_inherits(s1, "MultivariateSummary")
expect_stdout(show(s1))
s2 <- summary(res, active = FALSE, sup = TRUE)
expect_inherits(s2, "MultivariateSummary")
expect_stdout(show(s2))
# Principal Components Analysis ================================================
cts <- matrix(data = sample(1:10, 100, TRUE), ncol = 5)
res <- pca(cts, sup_row = 10:15)
s0 <- summary(res)
expect_inherits(s0, "MultivariateSummary")
expect_stdout(show(s0))
s1 <- summary(res, active = TRUE, sup = FALSE)
expect_inherits(s1, "MultivariateSummary")
expect_stdout(show(s1))
s2 <- summary(res, active = FALSE, sup = TRUE)
expect_inherits(s2, "MultivariateSummary")
expect_stdout(show(s2))
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