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Example Gaussian cross-sectional dyadic data

Source: R/data.R
dyads_cross.Rd

A simulated long-format dataset containing distinguishable female-male dyads and exchangeable female-female and male-male dyads. Each dyad has two members and each member has one row. closeness and provided_support are the member's averages across the 14 observations in dyads_ild.

Usage

dyads_cross

Format

A data frame with 720 rows and 6 variables:

personID

Unique person identifier.

coupleID

Dyad identifier.

gender

Gender role, with levels female and male.

dyad_composition

Observed dyad composition, with levels female_x_male, female_x_female, and male_x_male.

closeness

Mean simulated Gaussian closeness score across 14 days.

provided_support

Mean simulated provided-support score across 14 days.

Source

Simulated for dyadMLM; design adapted from https://github.com/Pascal-Kueng/05DyadicDataAnalysis. See Küng, P. M. (2026). Distinguishable and Exchangeable Dyads: Bayesian Multilevel Modelling (v2.0.9). Zenodo. doi:10.5281/zenodo.20720321 .

Details

Prepare with dyad = coupleID, member = personID, and role = gender. These data contain three compositions. Use keep_compositions in prepare_dyad_data() when an analysis should retain only selected compositions; omit it when all supplied compositions should remain.