anti_join.decorated: Anti_join Decorated
In yamlet: Versatile Curation of Table Metadata

anti_join.decorated

R Documentation

Anti_join Decorated

Description

Preserves class when joining decorated.

Usage

## S3 method for class 'decorated'
anti_join(x, y, by = NULL, copy = FALSE, ...)

Arguments

`x`, `y`	A pair of data frames, data frame extensions (e.g. a tibble), or lazy data frames (e.g. from dbplyr or dtplyr). See Methods, below, for more details.
`by`	A join specification created with `join_by()`, or a character vector of variables to join by. If `NULL`, the default, `⁠*_join()⁠` will perform a natural join, using all variables in common across `x` and `y`. A message lists the variables so that you can check they're correct; suppress the message by supplying `by` explicitly. To join on different variables between `x` and `y`, use a `join_by()` specification. For example, `join_by(a == b)` will match `x$a` to `y$b`. To join by multiple variables, use a `join_by()` specification with multiple expressions. For example, `join_by(a == b, c == d)` will match `x$a` to `y$b` and `x$c` to `y$d`. If the column names are the same between `x` and `y`, you can shorten this by listing only the variable names, like `join_by(a, c)`. `join_by()` can also be used to perform inequality, rolling, and overlap joins. See the documentation at ?join_by for details on these types of joins. For simple equality joins, you can alternatively specify a character vector of variable names to join by. For example, `by = c("a", "b")` joins `x$a` to `y$a` and `x$b` to `y$b`. If variable names differ between `x` and `y`, use a named character vector like `by = c("x_a" = "y_a", "x_b" = "y_b")`. To perform a cross-join, generating all combinations of `x` and `y`, see `cross_join()`.
`copy`	If `x` and `y` are not from the same data source, and `copy` is `TRUE`, then `y` will be copied into the same src as `x`. This allows you to join tables across srcs, but it is a potentially expensive operation so you must opt into it.
`...`	Other parameters passed onto methods.

Other dplyr: arrange.decorated(), full_join.decorated(), group_by.decorated(), inner_join.decorated(), left_join.decorated(), mutate.decorated(), right_join.decorated(), select.decorated(), semi_join.decorated(), slice.decorated(), summarise.decorated(), summarize.decorated(), ungroup.decorated()