rep_sim_data: Simulated Reputation data

In Coryc3133/ReputationAnalyses: Functions to model and analyze triadic (T-P1-P2) reputational data

Description

Simulated data to be used for examples with the ReputationModelR package. The data were simulate based on results from Costello & Srivastava (in prep). We used the mvtnorm package to simulate a dataset based on the cariance-covariance matrix and vector of means for variables across the 2 reputation studies. At present, it includes ratings on Agreeableness and P2 self-reported perspective taking. It also includes 2 arbitrary (not simulated from real data) grouping variables.

Usage

data(rep_sim_data)

Format

A dataframe with 300 rows and 13 variables, simulated to be similar to data used in Costello & Srivastava (in prep):

sess_id

session IDs, identifier marking sessions

C_C_agreeableness

target self-report (C(C)) on agreeableness

A_A_agreeableness

target self-report (A(A)) on agreeableness

A_C_agreeableness

P1 (A(C)) report on agreeableness

C_A_agreeableness

P1 (C(A)) report on agreeableness

B_C_agreeableness

P2 (B(C)) report on agreeableness

D_A_agreeableness

P2 (D(A)) report on agreeableness

A_B_C_agree_meta

P1 meta-perception (A(B(C)) on agreeableness

C_D_A_agree_meta

P1 meta-perception (C(D(A)) on agreeableness

B_A_C_agree_meta

P2 meta-perception (B(A(C)) on agreeableness

D_C_A_agree_meta

P2 meta-perception (D(C(A)) on agreeableness

B_iri_perspective

P2 self-reported perspective taking

D_iri_perspective

P2 self-reported perspective taking

study

the study the data come from

group_var

A 4-level group variable

Details

The data, being simulated, should be treated solely as example data.

Coryc3133/ReputationAnalyses documentation built on July 31, 2019, 8:35 a.m.