PlotFit: Plot the fitted network models

In jcdterry/cassandRa: Finds Missing Links and Metric Confidence Intervals in Ecological Bipartite Networks

Plot the fitted network models

Description

Takes the output from other functions (including PredictLinks()) to visualise the fit to the data and predictions of missing links.

Usage

PlotFit(
  list,
  Matrix_to_plot,
  OrderBy = "Default",
  addDots = TRUE,
  title = NULL,
  Combine = "+",
  RemoveTP = FALSE,
  GuidesOff = TRUE
)

Arguments

list	A list-format network (output from xxx)
Matrix_to_plot	Which matrix / matrices to plot. One or more of 'C_def','C', 'M', 'B', 'SBM'
OrderBy	How to order the plot. One of 'Default','Degree','Manual', 'LatentTrait','SBM', 'AsPerMatrix'
addDots	Should dots be added to show observations. TRUE, FALSE or 'Size', to plot by interaction strength
title	A title. By default it will use the value of Matrix_to_plot
Combine	How should multiple matrices be combined. Either '+' which averages them (default), or '*' which multiples
RemoveTP	Should true positives be set to NA in order to highlight differences in predictions. Default is FALSE
GuidesOff	Should the legends be switched off. Defaults to TRUE

Details

See the vignette for a more through description and examples.

Value

A ggplot object, which by default will print to the device, but can be added to make further tweaks

Examples

## Not run: 
data(Safariland, package = 'bipartite')
Predictions<- PredictLinks(Safariland)
PlotFit(Predictions, Matrix_to_plot = 'SBM')

## End(Not run)

jcdterry/cassandRa documentation built on June 11, 2024, 7:15 a.m.