mixingmatrix.egor: Summarizing the mixing among groups in an egocentric dataset

In statnet/ergm.ego: Fit, Simulate and Diagnose Exponential-Family Random Graph Models to Egocentrically Sampled Network Data

Summarizing the mixing among groups in an egocentric dataset

Description

A mixingmatrix method for egor objects, to return counts of how often a ego of each group nominates an alter of each group.

Usage

## S3 method for class 'egor'
mixingmatrix(
  object,
  attrname,
  useNA = c("ifany", "no", "always"),
  rowprob = FALSE,
  weight = TRUE,
  ...
)

Arguments

object	A egor object.
attrname	A character vector containing the name of the network attribute whose mixing matrix is wanted.
useNA	One of "ifany", "no" or "always", interpreted as in table(). By default (useNA = "ifany") if there are any NAs on the attribute corresponding row and column will be contained in the result. See Details.
rowprob	Whether the counts should be normalized by row sums. That is, whether they should be proportions conditional on the ego's group.
weight	Whether sampling weights should be incorporated into the calculation (TRUE, the default) or ignored (FALSE).
...	Additional arguments, currently unused.

Value

A matrix with a row and a column for each level of attrname.

Note that, unlike network::mixingmatrix(), what is counted are nominations, not ties. This means that under an egocentric census, the diagonal of mixingmatrix.egor will be twice that returned by network::mixingmatrix() for the original undirected network.

See Also

network::mixingmatrix(), nodemix ERGM term, summary method for egocentric data

Examples

data(faux.mesa.high)
fmh.ego <- as.egor(faux.mesa.high)

(mm <- mixingmatrix(faux.mesa.high,"Grade"))
(mm.ego <- mixingmatrix(fmh.ego,"Grade"))

statnet/ergm.ego documentation built on Feb. 12, 2025, 8:37 p.m.