View source: R/create_node_df.R
| create_node_df | R Documentation |
Combine several vectors for nodes and their attributes into a data frame, which can be combined with other similarly-generated data frames, or, added to a graph object. A node data frame, or ndf, has at least the following columns:
id (of type integer)
type (of type character)
label (of type character)
An arbitrary number of additional columns containing aesthetic or data
attributes can be part of the ndf, see node_aes() for additional attributes that can be used with ..., so long as they follow the aforementioned
columns.
create_node_df(n, type = NULL, label = NULL, ...)
n |
The total number of nodes to include in the node data frame. |
type |
An optional |
label |
An optional |
... |
Additional attributes. Some are present in |
A node data frame (ndf).
Other node creation and removal:
add_n_node_clones(),
add_n_nodes(),
add_n_nodes_ws(),
add_node(),
add_node_clones_ws(),
add_node_df(),
add_nodes_from_df_cols(),
add_nodes_from_table(),
colorize_node_attrs(),
copy_node_attrs(),
delete_node(),
delete_nodes_ws(),
drop_node_attrs(),
join_node_attrs(),
layout_nodes_w_string(),
mutate_node_attrs(),
mutate_node_attrs_ws(),
node_data(),
recode_node_attrs(),
rename_node_attrs(),
rescale_node_attrs(),
set_node_attr_to_display(),
set_node_attr_w_fcn(),
set_node_attrs(),
set_node_attrs_ws(),
set_node_position()
# Create a node data frame (ndf) where the labels
# are equivalent to the node ID values (this is not
# recommended); the `label` and `type` node
# attributes will always be a `character` class
# whereas `id` will always be an `integer`
node_df <-
create_node_df(
n = 4,
type = c("a", "a", "b", "b"),
label = TRUE)
# Display the node data frame
node_df
# Create an ndf with distinct labels and
# additional node attributes (where their classes
# will be inferred from the input vectors)
node_df <-
create_node_df(
n = 4,
type = "a",
label = c(2384, 3942, 8362, 2194),
style = "filled",
color = "aqua",
shape = c("circle", "circle",
"rectangle", "rectangle"),
value = c(3.5, 2.6, 9.4, 2.7))
# Display the node data frame
node_df
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