Code
duckplyr_intersect(df1, df2, z = 3)
Condition
Error in `intersect()`:
! `...` must be empty.
x Problematic argument:
* z = 3
Code
duckplyr_union(df1, df2, z = 3)
Condition
Error in `union()`:
! `...` must be empty.
x Problematic argument:
* z = 3
Code
duckplyr_union_all(df1, df2, z = 3)
Condition
Error in `union_all()`:
! `...` must be empty.
x Problematic argument:
* z = 3
Code
duckplyr_setdiff(df1, df2, z = 3)
Condition
Error in `setdiff()`:
! `...` must be empty.
x Problematic argument:
* z = 3
Code
duckplyr_symdiff(df1, df2, z = 3)
Condition
Error in `symdiff()`:
! `...` must be empty.
x Problematic argument:
* z = 3
Code
duckplyr_intersect(df1, df2)
Condition
Error in `intersect()`:
! `x` and `y` are not compatible.
x Different number of columns: 1 vs 2.
Code
duckplyr_union(df1, df2)
Condition
Error in `union_all()`:
! `x` and `y` are not compatible.
x Different number of columns: 1 vs 2.
Code
duckplyr_union_all(df1, df2)
Condition
Error in `union_all()`:
! `x` and `y` are not compatible.
x Different number of columns: 1 vs 2.
Code
duckplyr_setdiff(df1, df2)
Condition
Error in `setdiff()`:
! `x` and `y` are not compatible.
x Different number of columns: 1 vs 2.
Code
duckplyr_symdiff(df1, df2)
Condition
Error in `symdiff()`:
! `x` and `y` are not compatible.
x Different number of columns: 1 vs 2.
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.
Code
duckplyr_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
duckplyr_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.
Code
duckplyr_setequal(mtcars, mtcars, z = 2)
Condition
Error in `setequal()`:
! `...` must be empty.
x Problematic argument:
* z = 2
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