PlotFit {cassandRa}

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)