Nothing
################################################################################
context("COUNTS")
set.seed(SEED)
################################################################################
# Simulating some data
N <- 73
M <- 43
x <- matrix(rnorm(N * M, mean = 100, sd = 5), N)
X <- asFBMcode(x)
################################################################################
test_that("equality with table", {
test2 <- big_counts(X)
code2 <- as.numeric(rownames(test2))
true2 <- apply(X[], 2, function(x)
table(factor(x, levels = code2, exclude = NULL)))
expect_equal(test2, true2)
test1 <- big_counts(X, byrow = TRUE)
code1 <- as.numeric(rownames(test1))
true1 <- apply(X[], 1, function(x)
table(factor(x, levels = code1, exclude = NULL)))
expect_equal(test1, true1)
})
################################################################################
test_that("equality with table with half of the data", {
ind <- sample(N, N / 2)
test2 <- big_counts(X, ind.row = ind)
code2 <- as.numeric(rownames(test2))
true2 <- apply(X[ind, ], 2, function(x)
table(factor(x, levels = code2, exclude = NULL)))
expect_equal(test2, true2)
test1 <- big_counts(X, ind.row = ind, byrow = TRUE)
code1 <- as.numeric(rownames(test1))
true1 <- apply(X[ind, ], 1, function(x)
table(factor(x, levels = code1, exclude = NULL)))
expect_equal(test1, true1)
})
################################################################################
test_that("equality with table with half of half of the data", {
ind <- sample(N, N / 2)
ind.col <- sample(M, M / 2)
test2 <- big_counts(X, ind.row = ind, ind.col = ind.col)
code2 <- as.numeric(rownames(test2))
true2 <- apply(X[ind, ind.col], 2, function(x)
table(factor(x, levels = code2, exclude = NULL)))
expect_equal(test2, true2)
test1 <- big_counts(X, ind.row = ind, ind.col = ind.col, byrow = TRUE)
code1 <- as.numeric(rownames(test1))
true1 <- apply(X[ind, ind.col], 1, function(x)
table(factor(x, levels = code1, exclude = NULL)))
expect_equal(test1, true1)
})
################################################################################
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