tests/testthat/_snaps/sets.md

In hadley/dplyr: A Grammar of Data Manipulation

extra arguments in ... error (#5891)

Code
  intersect(df1, df2, z = 3)
Condition
  Error in `intersect()`:
  ! `...` must be empty.
  x Problematic argument:
  * z = 3
Code
  union(df1, df2, z = 3)
Condition
  Error in `union()`:
  ! `...` must be empty.
  x Problematic argument:
  * z = 3
Code
  union_all(df1, df2, z = 3)
Condition
  Error in `union_all()`:
  ! `...` must be empty.
  x Problematic argument:
  * z = 3
Code
  setdiff(df1, df2, z = 3)
Condition
  Error in `setdiff()`:
  ! `...` must be empty.
  x Problematic argument:
  * z = 3
Code
  symdiff(df1, df2, z = 3)
Condition
  Error in `symdiff()`:
  ! `...` must be empty.
  x Problematic argument:
  * z = 3

incompatible data frames error (#903)

Code
  intersect(df1, df2)
Condition
  Error in `intersect()`:
  ! `x` and `y` are not compatible.
  x Different number of columns: 1 vs 2.
Code
  union(df1, df2)
Condition
  Error in `union()`:
  ! `x` and `y` are not compatible.
  x Different number of columns: 1 vs 2.
Code
  union_all(df1, df2)
Condition
  Error in `union_all()`:
  ! `x` and `y` are not compatible.
  x Different number of columns: 1 vs 2.
Code
  setdiff(df1, df2)
Condition
  Error in `setdiff()`:
  ! `x` and `y` are not compatible.
  x Different number of columns: 1 vs 2.
Code
  symdiff(df1, df2)
Condition
  Error in `symdiff()`:
  ! `x` and `y` are not compatible.
  x Different number of columns: 1 vs 2.

is_compatible generates useful messages for different cases

Code
  cat(is_compatible(tibble(x = 1), 1))
Output
  `y` must be a data frame.
Code
  cat(is_compatible(tibble(x = 1), tibble(x = 1, y = 2)))
Output
  Different number of columns: 1 vs 2.
Code
  cat(is_compatible(tibble(x = 1, y = 1), tibble(y = 1, x = 1), ignore_col_order = FALSE))
Output
  Same column names, but different order.
Code
  cat(is_compatible(tibble(x = 1), tibble(y = 1)))
Output
  Cols in `y` but not `x`: `y`. Cols in `x` but not `y`: `x`.
Code
  cat(is_compatible(tibble(x = 1), tibble(x = 1L), convert = FALSE))
Output
  Different types for column `x`: double vs integer.
Code
  cat(is_compatible(tibble(x = 1), tibble(x = "a")))
Output
  Incompatible types for column `x`: double vs character.

setequal tibbles must have same rows and columns

Code
  setequal(tibble(x = 1:2), tibble(y = 1:2))
Condition
  Error in `setequal()`:
  ! `x` and `y` are not compatible.
  x Cols in `y` but not `x`: `y`.
  x Cols in `x` but not `y`: `x`.

Code
  setequal(tibble(x = 1:2), tibble(x = c("a", "b")))
Condition
  Error in `setequal()`:
  ! `x` and `y` are not compatible.
  x Incompatible types for column `x`: integer vs character.

setequal checks y is a data frame

Code
  setequal(mtcars, 1)
Condition
  Error in `setequal()`:
  ! `x` and `y` are not compatible.
  `y` must be a data frame.

setequal checks for extra arguments

Code
  setequal(mtcars, mtcars, z = 2)
Condition
  Error in `setequal()`:
  ! `...` must be empty.
  x Problematic argument:
  * z = 2

hadley/dplyr documentation built on Nov. 6, 2024, 4:48 p.m.