This graph-specific join method makes a full join on the nodes data and
updates the edges in the joining graph so they matches the new indexes of the
nodes in the resulting graph. Node and edge data is combined using
dplyr::bind_rows() semantic, meaning that data is matched by column name
and filled with NA if it is missing in either of the graphs.
graph_join(x, y, by = NULL, copy = FALSE, suffix = c(".x", ".y"), ...)A tbl_graph
An object convertible to a tbl_graph using as_tbl_graph()
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().
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.
If there are non-joined duplicate variables in x and
y, these suffixes will be added to the output to disambiguate them.
Should be a character vector of length 2.
Other parameters passed onto methods.
A tbl_graph containing the merged graph
gr1 <- create_notable('bull') %>%
activate(nodes) %>%
mutate(name = letters[1:5])
gr2 <- create_ring(10) %>%
activate(nodes) %>%
mutate(name = letters[4:13])
gr1 %>% graph_join(gr2)
#> Joining with `by = join_by(name)`
#> # A tbl_graph: 13 nodes and 15 edges
#> #
#> # A directed acyclic simple graph with 1 component
#> #
#> # Node Data: 13 × 1 (active)
#> name
#> <chr>
#> 1 a
#> 2 b
#> 3 c
#> 4 d
#> 5 e
#> 6 f
#> 7 g
#> 8 h
#> 9 i
#> 10 j
#> 11 k
#> 12 l
#> 13 m
#> #
#> # Edge Data: 15 × 2
#> from to
#> <int> <int>
#> 1 1 2
#> 2 1 3
#> 3 2 3
#> # ℹ 12 more rows