# Create a random graph using the
# `add_gnm_graph()` function
graph <-
create_graph() %>%
add_gnm_graph(
n = 20,
m = 35,
set_seed = 23) %>%
set_node_attrs(
node_attr = value,
values = rnorm(
n = count_nodes(.),
mean = 5,
sd = 1) %>% round(1))
# Get the mean indegree value
# from all nodes in the graph
graph %>%
get_agg_degree_in(
agg = "mean")
# Other aggregation functions
# can be used (`min`, `max`,
# `median`, `sum`); let's get
# the median in this example
graph %>%
get_agg_degree_in(
agg = "median")
# The aggregation of indegree
# can occur for a subset of the
# graph nodes and this is made
# possible by specifying
# `conditions` for the nodes
graph %>%
get_agg_degree_in(
agg = "mean",
conditions = value > 5.0)
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