Plotting effects interpretation

These functions support the interpretation of network and behavior effects found in stochastic actor-oriented models. They are S3 plotting methods for objects of class "selectionTable" or "influenceTable", created using RSiena::selectionTable() or RSiena::influenceTable(), respectively. They plot how the evaluation function for selection or influence changes based on ego's value and alter's value of some covariate. This helps to interpret the effect of that covariate on the network dynamics or behavior dynamics, respectively.

Usage

# S3 method for class 'selectionTable'
plot(x, quad = TRUE, separation = 0, ...)

# S3 method for class 'influenceTable'
plot(x, separation = 0, ...)

Arguments

x: An object of class "selectionTable" or "influenceTable", created using RSiena::selectionTable() or RSiena::influenceTable(), respectively.
quad: When TRUE (the default), a quadratic function (average and total alter) is plotted. Use quad = FALSE for similarity effects.
separation: This can be used to make the curves visually distinguishable if they overlap too much without it. An advisable value then is, e.g., 0.01.
...: Other arguments to be passed.

Value

A plot showing how the selection/influence evaluation function changes based on ego's value and alter's value of some covariate.

Details

These functions were originally written by Tom Snijders, and adapted for use in the {autograph} package.

References

For plotting selection tables, please consult the RSiena manual, Sections 13.1 and 13.3.

For plotting selection tables, please consult the RSiena manual, Sections 13.2 and 13.4.

Author

Tom Snijders

Thanks to Steffen Triebel and Rene Veenstra for corrections.

Examples

plot(siena_selection)

plot(siena_selection) + ggplot2::scale_colour_discrete()
#> Scale for colour is already present.
#> Adding another scale for colour, which will replace the existing scale.

plot(siena_influence)