Place any vector in the cache of a graph object of class dgr_graph.

set_cache(graph, to_cache, name = NULL, col = NULL)

Arguments

graph

a graph object of class dgr_graph.

to_cache

any vector or data frame. If a data frame is supplied then a single column for the vector to pull must be provided in the col argument.

name

an optional name for the cached vector.

col

if a data frame is provided in to_cache then a column name from that data frame must provided here.

Value

a graph object of class dgr_graph.

Examples

# Create a random graph using the # `add_gnm_graph()` function graph <- create_graph() %>% add_gnm_graph( n = 10, m = 22, set_seed = 23) # Get the closeness values for # all nodes from `1` to `10` and # store in the graph's cache graph <- graph %>% set_cache( name = "closeness_vector", to_cache = get_closeness(.), col = "closeness") # Get the graph's cache graph %>% get_cache( name = "closeness_vector")
#> [1] 0.07692308 0.08333333 0.07692308 0.06666667 0.05555556 0.06250000 #> [7] 0.06666667 0.05000000 0.06666667 0.04761905
# Get the difference of betweenness # and closeness values for nodes in # the graph and store the vector in # the graph's cache graph <- graph %>% set_cache( name = "difference", to_cache = get_betweenness(.)$betweenness - get_closeness(.)$closeness) # Get the graph's cache graph %>% get_cache( name = "difference")
#> [1] 9.25641026 28.91666667 19.08974359 2.60000000 0.44444444 17.93750000 #> [7] 11.93333333 -0.05000000 10.26666667 -0.04761905