plot_interaction_pattern_parameter_estimates: Plot interaction-pattern sepcific coefficients.

In matthewjdenny/CCAS: Communication Content and Network Structure

Description

Plots parameter estimates and intercept term associated with a particular interaction pattern.

Usage

plot_interaction_pattern_parameter_estimates(CCAS_Object,
  interaction_pattern_index, coefficient_names = NULL,
  leave_out_coefficients = NULL, normalize_coefficients = FALSE,
  generate_plot = TRUE)

Arguments

CCAS_Object	The object returned by the ccas() main estimation function.
interaction_pattern_index	The index of the cluster specific communication network we wish to plot.
coefficient_names	Defualts to NULL. Can be a string vector of names for coefficients to be used in making publication quality plots.
leave_out_coefficients	Defaults to NULL. Can be a string vector of coefficient names as they appear in the plot. These coefficients will be removed from the final plot. Useful if the intercept term is much larger in magnitude than other estimates, and the user wishes to clarify the other parameter estimates without normalizing.
normalize_coefficients	Defaults to FALSE, if TRUE then parameter estimates will be converted be deivided by their standard deviations with and displayed with 95 percent confidence intervals. These coefficients will no longer be comparable, but make graphical interpretation of significance and sign easier.
generate_plot	Logical indicating whether a plot should be generated, defaults to TRUE, but may be set to FALSE if the user only wishes to access parameter estimates.

Value

A plot.

matthewjdenny/CCAS documentation built on May 21, 2019, 1:01 p.m.