我有两个共享所有列的数据集，我想基于除其中两列之外的所有列进行反连接。
例如，我想做如下事情：

library(dplyr)
df1 <- tibble(x = c("A", "B", "C"), y = c("X", "Y", "Z"), z = c(1, 2, 3),
              a = c(4, 5, 6))

df2 <- tibble(x = c("A", "D", "E"), y = c("X", "W", "R"), z = c(1, 5, 6),
              a = c(4, 7, 8))

df2 %>% anti_join(df1, join_by(-c(z, a)))
#> Error in `join_by()`:
#> ! Expressions must use one of: `==`, `>=`, `>`, `<=`, `<`, `closest()`,
#>   `between()`, `overlaps()`, or `within()`.
#> ℹ Expression 1 is `-c(z, a)`.

#> Backtrace:
#>      ▆
#>   1. ├─df2 %>% anti_join(df1, join_by(-c(z, a)))
#>   2. ├─dplyr::anti_join(., df1, join_by(-c(z, a)))
#>   3. ├─dplyr:::anti_join.data.frame(., df1, join_by(-c(z, a)))
#>   4. │ └─dplyr:::join_filter(...)
#>   5. │   └─dplyr:::is_cross_by(by)
#>   6. │     └─rlang::is_character(x, n = 0L)
#>   7. └─dplyr::join_by(-c(z, a))
#>   8.   └─dplyr:::parse_join_by_expr(exprs[[i]], i, error_call = error_call)
#>   9.     └─dplyr:::stop_invalid_top_expression(expr, i, error_call)
#>  10.       └─rlang::abort(message, call = call)

创建于2023-03-27带有reprex v2.0.2
那么，在join中是否有tidy-select变量的选项呢？或者，特别地，除了一些变量之外，调用所有变量。