View source: R/search_interactions.R
search_interactions | R Documentation |
Search for specific interactions using a keyword or a specific type of
interactions (e.g. mutualism). If the query
is a character string, then all character columns in the table
are searched and the entries for which at least one
partial match was found are returned.
Alternatively, a named list can be used to look for an exact match in a specific column (see Details section)
search_interactions(
query,
type = NULL,
expand_node = FALSE,
verbose = TRUE,
...
)
query |
either a character string including a single keyword or a named list containing a custom query (see details section below). Note that if an empty character string is passed, then all datasets available are returned. |
type |
a |
expand_node |
a logical. Should the function returned extra information pertaining to nodes? Default is set to |
verbose |
a |
... |
further arguments to be passed to |
Names of the list should match one of the column names within the table.
For the interaction
table, those are:
id: unique identifier of the interaction;
attr_id: identifier of a specific attribute;
direction: edge direction ("directed", "undirected" or "unknown");
network_id: Mangal network identifier;
node_from: node id which the interaction end to;
node_to: node to which the interaction end to;
type: use argument type
instead.
Note that for lists with more than one element, only the first element is
used, the others are ignored. The type of interactions (argument type
)
currently available are the following
"competition";
"amensalism";
"neutralism";
"commensalism";
"mutualism";
"parasitism";
"predation";
"herbivory";
"symbiosis";
"scavenger";
"detritivore".
An object of class mgSearchInteractions
, i.e. a data.frame
object including interactions.
All networks in which interactions are involved are also attached to the data.frame
.
df_inter <- search_interactions(type = "competition", verbose = FALSE)
# Get all networks containing competition
competition_networks <- get_collection(df_inter, verbose = FALSE)
df_net_926 <- search_interactions(list(network_id = 926), verbose = FALSE)
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