context("manyregs_term")
test_that("quantitative variable", {
data <- create_dataset("x")
term <- new_term("x", data)
actual <- summary(term)
expected <- read.table(text = "
label variable level
x x ''
", header = TRUE, colClasses = "character")
expect_equal(actual, expected)
})
test_that("factor", {
data <- create_dataset(c("x", 2))
term <- new_term("x", data)
actual <- summary(term)
expected <- read.table(text = "
label variable level
x1 x 1
x2 x 2
", header = TRUE, colClasses = "character")
expect_equal(actual, expected)
})
test_that("interaction between 2 quantitative variables", {
data <- create_dataset("x", "y")
term <- new_term("x:y", data)
actual <- summary(term)
expected <- read.table(text = "
label variable level
x:y x:y ''
", header = TRUE, colClasses = "character")
expect_equal(actual, expected)
})
test_that("interaction between a quantitative variable and a factor", {
data <- create_dataset("x", c("y", 2))
term <- new_term("x:y", data)
actual <- summary(term)
expected <- read.table(text = "
label variable level
x:y1 x:y 1
x:y2 x:y 2
", header = TRUE, colClasses = "character")
expect_equal(actual, expected)
})
test_that("interaction between a factor and a quantitative variable", {
data <- create_dataset(c("x", 2), "y")
term <- new_term("x:y", data)
actual <- summary(term)
expected <- read.table(text = "
label variable level
x1:y x:y 1
x2:y x:y 2
", header = TRUE, colClasses = "character")
expect_equal(actual, expected)
})
test_that("interaction between 2 factors", {
data <- create_dataset(c("x", 3), c("y", 2))
term <- new_term("x:y", data)
actual <- summary(term)
expected <- read.table(text = "
label variable level
x1:y1 x:y 1:1
x2:y1 x:y 2:1
x3:y1 x:y 3:1
x1:y2 x:y 1:2
x2:y2 x:y 2:2
x3:y2 x:y 3:2
", header = TRUE, colClasses = "character")
expect_equal(actual, expected)
})
test_that("factor crossing between 2 quantitative variables", {
data <- create_dataset("x", "y")
term <- new_term("x*y", data)
actual <- summary(term)
expected <- read.table(text = "
label variable level
x x ''
y y ''
x:y x:y ''
", header = TRUE, colClasses = "character")
expect_equal(actual, expected)
})
test_that("factor crossing between a quantitative variable and a factor", {
data <- create_dataset("x", c("y", 2))
term <- new_term("x * y", data)
actual <- summary(term)
expected <- read.table(text = "
label variable level
x x ''
y1 y 1
y2 y 2
x:y1 x:y 1
x:y2 x:y 2
", header = TRUE, colClasses = "character")
expect_equal(actual, expected)
})
test_that("factor crossing between a factor and a quantitative variable", {
data <- create_dataset(c("x", 2), "y")
term <- new_term("x*y", data)
actual <- summary(term)
expected <- read.table(text = "
label variable level
x1 x 1
x2 x 2
y y ''
x1:y x:y 1
x2:y x:y 2
", header = TRUE, colClasses = "character")
expect_equal(actual, expected)
})
test_that("factor crossing between 2 factors", {
data <- create_dataset(c("x", 3), c("y", 2))
term <- new_term("x*y", data)
actual <- summary(term)
expected <- read.table(text = "
label variable level
x1 x 1
x2 x 2
x3 x 3
y1 y 1
y2 y 2
x1:y1 x:y 1:1
x2:y1 x:y 2:1
x3:y1 x:y 3:1
x1:y2 x:y 1:2
x2:y2 x:y 2:2
x3:y2 x:y 3:2
", header = TRUE, colClasses = "character")
expect_equal(actual, expected)
})
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