RecordToArray: Convert interaction records to array

In leorjorge/dizzy: Tools to measure distance based specialisation of species and communities

Convert interaction records to array

Description

This function converts records for the occurrence of interactions registered in 'long' format, with columns for consumer, resource, location and frequency into an interaction array.

Usage

RecordToArray(data, cons = 1, res = 2, loc, freq = NULL)

Arguments

data	A dataframe of recorded interactions. It needs at least one column for consumer identity and another for resource identity. If the study spans different locations, one column with location identity must be provided. The frequency of a given interaction is recorded in a separate column or as different records.
cons, res	Consumer and resource column identity. Can be provided as the column number or name. If those are not provided, it is assumed that consumers are in the first column and resources in the second
loc	Location column identity, also column number or name. If not provided, a warning is given and it is assumed that interactions occur in a single location
freq	Interaction frequency column identity, also column number or name. If the frequency of a given interaction is recorded as a separate column instead of being placed as different records in the dataframe, this information must be provided.

Value

An object of class interaction array. To calculate DSI, resource names must match the phylogeny tip labels and resource availability names.

leorjorge/dizzy documentation built on Jan. 18, 2025, 6:51 a.m.