R/my_network.R

In bbnet: Create Simple Predictive Models on Bayesian Belief Networks

#' Rocky Shore complex food web data
#'
#' In this file, the first column is called id and
#' consists of an s and a 2 digit number relating to the node number.
#' The second column is called node.type and is an integer value from 1-4.
#' This sets the colour of the node in the network
#' (sticking to a maximum of four colours).
#' Here, predators, grazers, filter feeders and algae are colour coded separately
#' it would be fine to change the colours, for example to ensure algae were green.
#' The third column is the same as the first column in the standard BBN interaction csv,
#' other than it is titled node.name.
#' It is important to use these column names (including capitals and dot notation).
#' The remainder of the columns are exactly as the standard my_BBN data file.

#'
#' @format
#' A data frame with 9 rows and 12 columns:
#' \describe{
#'   \item{id}{Variable names}
#'   \item{node.type}{integer}
#'   \item{node.name}{Variable names}
#'   \item{Dogwhelk}{integer}
#'   \item{Topshell}{integer}
#'   \item{Limpet}{integer}
#'   \item{Periwinkle}{integer}
#'   \item{Barnacle}{integer}
#'   \item{Green.Algae}{integer}
#'   \item{Biofilm}{integer}
#'   \item{Corline.algae}{integer}
#'   \item{Fucoid.Algae}{integer}
#' }
#'
#' @source <https://doi.org/10.1016/j.ocecoaman.2015.04.013>
#' @name my_network
#' @docType data
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