Package index • enaR

Calculate Metrics

enaAscendency(): Calculates the Ascendency of an Ecological Network

eigenCentrality(): the Eigen Centrality of a Network

bcratio(): Calculates the Ratio of Positive to Negative Elements in a Network

get.ns(): Quick Calculation of a Range of Network Statistics.

get.orient(): Returns the global orientation

meanTrophicLevel(): meanTrophicLevel INPUT = network data object, min trophic level choice OUTPUT = mean trophic level

mExp(): Calculate the exponent of a given matrix

relationalChange(): Relational change compared between two matrices.

scc(): Find the strongly connected component

ShannonDiversity(): ShannonDiversity Shannon Diversity Metrics

structure.statistics(): structural statistics

TES(): Calculates the Total Environ Storage

TET(): Calculate the Total Environ Throughflow

Network Analyses

enaControl(): Control Analyses of Ecological Networks

enaFlow(): Analyses of Ecological Networks

enaStorage(): Storage Analyses of Ecological Networks

enaStructure(): Structure Analyses of Ecological Network

enaAll(): Conduct All Major ENA

cycliv(): Analysis of Feeding Cycles in a Network

enaCycle(): Full Cycle Analysis of Ecological Networks

enaMTI(): Mixed Trophic Impacts (MTI) Analysis

enaTroAgg(): Trophic Aggregations (TroAgg) Analysis

enaUtility(): Utility Analysis of Ecological Networks

bal(): Balancing by Either Inputs or Outputs

balance(): Balance Flow Network Models

enaEnviron(): Ecological Network Environs

enaUncertainty(): Produce a set of plausible network models

environCentrality(): Environ Centrality an Ecological Network

force.balance(): Repeated Application the Balance Function

Bundled Models

troModels: Trophic Models

EcoNetWeb(): Access example EcoNet models from the EcoNet website.

bgcModels: Bigeochemical Cycling Models

enaModelInfo: Ecosystem Model Information

enaModels: Ecosystem Models

oyster: Intertidal Oyster Reef Ecosystem Model

enaR-package enaR: Tools for Ecological Network Analysis (ena)

Import/Read Models

read.EcoNet(): Read an EcoNet model.

read.enam(): R function to read in a matrix formatted as Mdloti (Ursula Sharler)

read.nea(): Read an NEA formatted model into a network object

read.scor(): SCOR formatted file into R in multiple formats INPUT = file path

read.wand(): WAND formatted file into R

Utility Functions

unpack(): Extracts network object into a list

pack(): Compile Network Information into a Network Class

write.EcoNet(): Write enaR models to an EcoNet formatted file.

write.nea(): Create a formatted file with data arranged as expected input for NEA.m

as.bipartite(): Converts a network object (unipartite) to a two-mode (bipartite) network representation.

as.extended(): Create an Extended Format Matrix

findPathLength(): Cumulative Flow over a Range of Path Lengths

m.list: Sub-set of the Larger Ecosystem Models

scifix(): scifix Corrects missing e or E in scientific notation

netOrder(): Reorder Nodes in a Network in enaR

set.orient(): Globally reorients matrices

signs(): Signs and summary of input matrix

ssCheck(): Checks if the given network is out of balance by a given tolerance threshold

Plotting

plot(<lindeman>): plot.lindeman INPUT = network object OUTPUT = plot of the lindeman spine