DiagrammeR (version 1.0.6.1)

mutate_edge_attrs_ws: Mutate edge attribute values for a selection of edges

Description

Within a graph's internal edge data frame (edf), mutate edge attribute values only for edges in a selection by using one or more expressions.

Usage

mutate_edge_attrs_ws(graph, ...)

Arguments

graph

A graph object of class dgr_graph.

...

Expressions used for the mutation of edge attributes. LHS of each expression is either an existing or new edge attribute name. The RHS can consist of any valid R code that uses edge attributes as variables. Expressions are evaluated in the order provided, so, edge attributes created or modified are ready to use in subsequent expressions.

Value

A graph object of class dgr_graph.

Details

This function makes use of an active selection of edges (and the function ending with _ws hints at this).

Selections of edges can be performed using the following selection (select_*()) functions: select_edges(), select_last_edges_created(), select_edges_by_edge_id(), or select_edges_by_node_id().

Selections of edges can also be performed using the following traversal (trav_*()) functions: trav_out_edge(), trav_in_edge(), trav_both_edge(), or trav_reverse_edge().

See Also

Other Edge creation and removal: add_edge_clone(), add_edge_df(), add_edges_from_table(), add_edges_w_string(), add_edge(), add_forward_edges_ws(), add_reverse_edges_ws(), copy_edge_attrs(), create_edge_df(), delete_edges_ws(), delete_edge(), delete_loop_edges_ws(), drop_edge_attrs(), edge_data(), join_edge_attrs(), mutate_edge_attrs(), recode_edge_attrs(), rename_edge_attrs(), rescale_edge_attrs(), rev_edge_dir_ws(), rev_edge_dir(), set_edge_attr_to_display(), set_edge_attrs_ws(), set_edge_attrs()

Examples

# NOT RUN {
# Create a graph with 3 edges
# and then select edge `1`
graph <-
  create_graph() %>%
  add_path(n = 4) %>%
  set_edge_attrs(
    edge_attr = width,
    values = c(3.4, 2.3, 7.2)) %>%
  select_edges(edges = 1)

# Get the graph's internal edf
# to show which edge attributes
# are available
graph %>% get_edge_df()

# Mutate the `width` edge
# attribute for the edges
# only in the active selection
# of edges (edge `1`); here,
# we divide each value in the
# selection by 2
graph <-
  graph %>%
  mutate_edge_attrs_ws(
    width = width / 2)

# Get the graph's internal
# edf to show that the edge
# attribute `width` had its
# values changed
graph %>% get_edge_df()

# Create a new edge attribute,
# called `length`, that is the
# log of values in `width` plus
# 2 (and, also, round all values
# to 2 decimal places)
graph <-
  graph %>%
  clear_selection() %>%
  select_edges(edges = 2:3) %>%
  mutate_edge_attrs_ws(
    length = (log(width) + 2) %>%
               round(2))

# Get the graph's internal edf
# to show that the edge attribute
# values had been mutated only
# for edges `2` and `3` (since
# edge `1` is excluded, an NA
# value is applied)
graph %>% get_edge_df()

# Create a new edge attribute
# called `area`, which is the
# product of the `width` and
# `length` attributes
graph <-
  graph %>%
  mutate_edge_attrs_ws(
    area = width * length)

# Get the graph's internal edf
# to show that the edge attribute
# values had been multiplied
# together (with new attr `area`)
# for nodes `2` and `3`
graph %>% get_edge_df()

# We can invert the selection
# and mutate edge `1` several
# times to get an `area` value
# for that edge
graph <-
  graph %>%
  invert_selection() %>%
  mutate_edge_attrs_ws(
    length = (log(width) + 5) %>%
               round(2),
    area = width * length)

# Get the graph's internal edf
# to show that the 2 mutations
# occurred for edge `1`, yielding
# non-NA values for its edge
# attributes without changing
# those of the other edges
graph %>% get_edge_df()

# }

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