# summary.formula: Calculation of network or graph statistics or other... In ergm: Fit, Simulate and Diagnose Exponential-Family Models for Networks

## Description

Most generally, this function computes those summaries of the object on the LHS of the formula that are specified by its RHS. In particular, if given a network as its LHS and `ergm-terms` on its RHS, it computes the sufficient statistics associated with those terms.

## Usage

 ```1 2``` ```## S3 method for class 'formula' summary(object, ...) ```

## Arguments

 `object` A formula having as its LHS a `network` object or a matrix that can be coerced to a `network` object, a `network.list`, or other types to be summarized using a formula. (See ‘methods(’summary_formula') for the possible LHS types. `...` further arguments passed to or used by methods.

## Details

In practice, `summary.formula()` is a thin wrapper around the `summary_formula()` generic, which dispatches methods based on the class of the LHS of the formula.

`summary.formula` for networks understands the `lasttoggle` "API".

## Value

A vector of statistics specified in RHS of the formula.

`ergm()`, `network()`, ergm-terms
 ``` 1 2 3 4 5 6 7 8 9 10 11``` ```# # 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 ```