PlotFit function

Plot the fitted network models

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

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

Returns

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

Details

See the vignette for a more through description and examples.

Examples

## Not run:

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