Dispatching a summary function based on the class of the LHS of a formula.
The generic summary_formula() (note the underscore) expects a
formula argument and will attempt to identify the class of the LHS
of the formula and dispatch to the appropriate summary_formula
method.
summary_formula(object, ..., basis = NULL) ## S3 method for class 'ergm' summary_formula(object, ..., basis = NULL) ## S3 method for class 'network.list' summary_formula(object, response = NULL, ..., basis = NULL) ## S3 method for class 'network' summary_formula(object, response = NULL, ..., basis = NULL) ## S3 method for class 'pending_update_network' summary_formula(object, response = NULL, ..., basis = NULL) ## S3 method for class 'matrix' summary_formula(object, response = NULL, ..., basis = NULL) ## Default S3 method: summary_formula(object, response = NULL, ..., basis = NULL)
object |
A two-sided formula. |
... |
further arguments passed to or used by methods. |
basis |
Optional object of the same class as the LHS of the formula, substituted in place of the LHS. |
response |
Name of the edge attribute whose value is to be
modeled in the valued ERGM framework. Defaults to |
A vector of statistics measured on the network.
ergm: an ergm fit method, extracting its model from the fit.
network.list: a method for a network.list on the LHS of the formula.
network: a method for a network on the LHS of the formula.
pending_update_network: a method for the semi-internal pending_update_network on the LHS of the formula.
matrix: a method for a matrix on the LHS of the formula.
default: a fallback method.
# # Lets look at the Florentine marriage data # data(florentine) # # test the summary_formula function # summary(flomarriage ~ edges + kstar(2)) m <- as.matrix(flomarriage) summary(m ~ edges) # twice as large as it should be summary(m ~ edges, directed=FALSE) # Now it's correct
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