mixingmatrix.egor function

Summarizing the mixing among groups in an egocentric dataset

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

## 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.

Returns

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.

Examples

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

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

See Also

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