between_network: Calculate parameters of the network on the between-subject...

In haranse/dyadmlvar: Dyadic Timeseries Extension for Mlvar

Description

Calculate parameters of the network on the between-subject level between_network Function that analyzes a dyadic timeseries network and calculates density variables for between-subjects connections. Assumes variables were provided as a list for one subject and then an equivalent list for another.

Usage

between_network(mlvar_model)

Arguments

mlvar_model

An mlVAR object, usually created by the mlVAR function of package mlVAR. The target variables should have been of even length, with the first half belonging to part A of the dyad (e.g. men, clients, children) and the other to part B (e.g. women, therapists, parents)

Value

a list of sample-level between-subjects density variables: intra.density - average density of both partners' between-subject networks intra_A.density - density of partner A's between-subject network intra_B.density - density of partner B's between-subject network inter.density - density of between-subject connections between partners ratio.density - ratio between inter density and average intra density

Examples

require("mlVAR")
# creating a variable list with the first half containing variables for
# partner A and the second half containing variables for partner B
 var.names =
c("M_Anx.","M_Sad.","M_Vig.","M_Con.","W_Anx.","W_Sad.","W_Vig.","W_Con.")

# running mlVAR to create a model
fit1 <- mlVAR(sample1, vars = var.names, idvar = "ID", beepvar="DIARYDAY",
lags = 1,scale=TRUE,scaleWithin = TRUE)

between <- between_network(fit1)

haranse/dyadmlvar documentation built on May 23, 2019, 6:06 p.m.