context("Equality")
test_that("data frames equal to themselves", {
expect_true(all.equal(as_tibble(mtcars), as_tibble(mtcars)))
expect_true(all.equal(as_tibble(iris), as_tibble(iris)))
expect_true(all.equal(as_tibble(df_all[1:7]), as_tibble(df_all[1:7])))
skip("Failing due to hadley/dplyr#2194")
expect_true(all.equal(as_tibble(df_all), as_tibble(df_all)))
})
test_that("data frames equal to random permutations of themselves", {
scramble <- function(x){
x[sample(nrow(x)), sample(ncol(x)), drop = FALSE]
}
expect_equal(as_tibble(mtcars), as_tibble(scramble(mtcars)))
expect_equal(as_tibble(iris), as_tibble(scramble(iris)))
expect_equal(as_tibble(df_all[1:7]), as_tibble(scramble(df_all[1:7])))
skip("Failing due to hadley/dplyr#2194")
expect_equal(as_tibble(df_all), as_tibble(scramble(df_all)))
})
test_that("data frames not equal if missing row", {
expect_match(all.equal(as_tibble(mtcars), as_tibble(mtcars)[-1, ]), "Different number of rows")
expect_match(all.equal(as_tibble(iris), as_tibble(iris)[-1, ]), "Different number of rows")
expect_match(all.equal(as_tibble(df_all[1:7]), as_tibble(df_all)[-1, 1:7]), "Different number of rows")
skip("Failing due to hadley/dplyr#2194")
expect_match(all.equal(as_tibble(df_all), as_tibble(df_all)[-1, ]), "Different number of rows")
})
test_that("data frames not equal if missing col", {
expect_match(all.equal(as_tibble(mtcars), as_tibble(mtcars)[, -1]), "Cols in x but not y: mpg")
expect_match(all.equal(as_tibble(mtcars)[, -1], as_tibble(mtcars)), "Cols in y but not x: mpg")
expect_match(all.equal(as_tibble(iris), as_tibble(iris)[, -1]), "Cols in x but not y: Sepal.Length")
expect_match(all.equal(as_tibble(df_all), as_tibble(df_all)[, -1]), "Cols in x but not y: a")
expect_match(all.equal(as_tibble(mtcars), rev(as_tibble(mtcars)),
ignore_col_order = FALSE),
"Same column names, but different order")
})
test_that("factors equal only if levels equal", {
df1 <- data.frame(x = factor(c("a", "b")))
df2 <- data.frame(x = factor(c("a", "d")))
expect_match(all.equal(as_tibble(df1), as_tibble(df2)), "Factor levels not equal for column x" )
})
test_that("all.equal.data.frame handles data.frames with NULL names", {
x <- data.frame(LETTERS[1:3], rnorm(3))
names(x) <- NULL
expect_true(all.equal(x,x))
})
test_that( "data frame equality test with ignore_row_order=TRUE detects difference in number of rows. #1065", {
DF1 <- tibble(a = 1:4, b = letters[1:4])
DF2 <- tibble(a = c(1:4,4L), b = letters[c(1:4,4L)])
expect_false( isTRUE(all.equal(DF1, DF2, ignore_row_order=TRUE)))
DF1 <- tibble(a = c(1:4,2L), b = letters[c(1:4,2L)])
DF2 <- tibble(a = c(1:4,4L), b = letters[c(1:4,4L)])
expect_false(isTRUE(all.equal(DF1, DF2, ignore_row_order=TRUE)))
})
test_that("all.equal handles NA_character_ correctly. #1095", {
d1 <- tibble(x = c(NA_character_))
expect_true(all.equal(d1, d1))
d2 <- tibble( x = c(NA_character_, "foo", "bar" ) )
expect_true(all.equal(d2, d2))
})
test_that( "handle Date columns of different types, integer and numeric (#1204)", {
a <- data.frame(date = as.Date("2015-06-07"))
b <- data.frame(date = structure( as.integer(a$date), class = "Date" ) )
expect_true( all.equal(a, b) )
})
test_that("equality test fails when convert is FALSE and types don't match (#1484)", {
df1 <- tibble(x = "a")
df2 <- tibble(x = factor("a"))
expect_equal( all.equal(df1, df2, convert = FALSE), "Incompatible type for column x: x character, y factor" )
skip_if_not(sessionInfo()$loadedOnly$dplyr$Version >= "0.5.0")
expect_warning( all.equal(df1, df2, convert = TRUE) )
})
test_that("equality handles data frames with 0 columns (#1506)", {
df0 <- tibble(x = numeric(0), y = character(0) )
expect_equal(df0, df0)
})
test_that("equality fails if types different", {
expect_true(all.equal(as_tibble(iris), iris))
})
test_that("equality works for data frames with columns named like arguments to order() (#107)", {
U <- data_frame(method = c("old","new"), time = c(4.5, 2.3))
expect_equal(U, U)
})
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