| summary.statistics {ergm} | R Documentation |
Used to calculate the specified
statistics for an observed network if its argument is a formula for an
ergm.
See ergm-terms for more information on the statistics that may
be specified.
## Default S3 method: summary.statistics(object, response=NULL, ..., basis=NULL) ## S3 method for class 'matrix' summary.statistics(object, response=NULL, ..., basis=NULL) ## S3 method for class 'network' summary.statistics(object, response=NULL, ..., basis=NULL) ## S3 method for class 'network.list' summary.statistics(object, response=NULL, ..., basis=NULL) ## S3 method for class 'formula' summary.statistics(object, ..., basis=NULL) ## S3 method for class 'ergm' summary.statistics(object, ..., basis=NULL)
object |
Either an R |
response |
Name of the edge attribute whose value is to be
modeled. Defaults to |
basis |
An optional |
... |
further arguments passed to or used by methods. |
If object is of class formula, then
summary may be used in lieu of summary.statistics
because summary.formula calls the summary.statistics function.
The function actually cumulates the change statistics when removing edges
from the observed network one by one until the empty network results.
Since each model term has a prespecified value (zero by default) for the
corresponding statistic(s) on an empty network, these change statistics
give the absolute statistics on the original network.
summary.formula for networks understands the
lasttoggle "API".
A vector of statistics measured on the network.
ergm, network, ergm-terms
# # Lets look at the Florentine marriage data # data(florentine) # # test the summary.statistics 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