tests/testthat/_snaps/all-equal.md

In dplyr: A Grammar of Data Manipulation

all_equal is deprecated

Code
  all_equal(mtcars, mtcars)
Condition
  Warning:
  `all_equal()` was deprecated in dplyr 1.1.0.
  i Please use `all.equal()` instead.
  i And manually order the rows/cols as needed
Output
  [1] TRUE

data frames not equal if missing row

Code
  all_equal(mtcars, mtcars[-1, ])
Output
  [1] "Different number of rows."
Code
  all_equal(iris, iris[-1, ])
Output
  [1] "Different number of rows."
Code
  all_equal(df_all, df_all[-1, ])
Output
  [1] "Different number of rows."

data frames not equal if missing col

Code
  all_equal(mtcars, mtcars[, -1])
Output
  Different number of columns: 11 vs 10.
Code
  all_equal(iris, iris[, -1])
Output
  Different number of columns: 5 vs 4.
Code
  all_equal(df_all, df_all[, -1])
Output
  Different number of columns: 7 vs 6.

factors equal only if levels equal

Code
  all_equal(df1, df2)
Output
  Different types for column `x`: factor<38051> vs factor<bb232>.
Code
  all_equal(df2, df1)
Output
  Different types for column `x`: factor<bb232> vs factor<38051>.

factor comparison requires strict equality of levels (#2440)

Code
  all_equal(df1, df2)
Output
  Different types for column `x`: factor<4d52a> vs factor<38051>.
Code
  all_equal(df2, df1)
Output
  Different types for column `x`: factor<38051> vs factor<4d52a>.

equality test fails when convert is FALSE and types don't match (#1484)

Code
  all_equal(df1, df2, convert = FALSE)
Output
  Different types for column `x`: character vs factor<4d52a>.

equality returns a message for convert = TRUE

Code
  all_equal(df1, df2)
Output
  Different types for column `x`: integer vs character.
Code
  all_equal(df1, df2, convert = TRUE)
Output
  Incompatible types for column `x`: integer vs character.

numeric and integer can be compared if convert = TRUE

Code
  all_equal(df1, df2)
Output
  Different types for column `x`: integer vs double.

returns vector for more than one difference (#1819)

Code
  all_equal(tibble(a = 1, b = 2), tibble(a = 1L, b = 2L))
Output
  Different types for column `a`: double vs integer.
  Different types for column `b`: double vs integer.

ignore column order

Code
  all_equal(tibble(a = 1, b = 2), tibble(b = 2, a = 1), ignore_col_order = FALSE)
Output
  Same column names, but different order.
Code
  all_equal(tibble(a = 1, b = 2), tibble(a = 1), ignore_col_order = FALSE)
Output
  Different number of columns: 2 vs 1.

count() give meaningful errors

Code
  (expect_error(union(tibble(a = 1), tibble(a = "1"))))
Output
  <error/rlang_error>
  Error in `union()`:
  ! `x` and `y` are not compatible.
  x Incompatible types for column `a`: double vs character.
Code
  (expect_error(union(tibble(a = 1, b = 2), tibble(a = "1", b = "2"))))
Output
  <error/rlang_error>
  Error in `union()`:
  ! `x` and `y` are not compatible.
  x Incompatible types for column `a`: double vs character.
  x Incompatible types for column `b`: double vs character.

dplyr documentation built on Nov. 17, 2023, 5:08 p.m.