Description Usage Arguments Value Examples
This takes output from one of the individual-level moderated reputation models (e.g., rep_auto_id_mods) and returns a tibble of model (regression) parameters. It works with any of the Individual-level moderated models.
1 | ez_id_mod_table(rep_model)
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rep_model |
The results from one of the ReputationModelR individual-level moderator Models (e.g., rep_auto_id_mods). |
The function returns an object of class tbl_df
.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | data("rep_sim_data")
moderator_data <- rep_sim_data %>%
dplyr::mutate(B_C_agreeableness_cent = scale(B_C_agreeableness, scale = FALSE),
D_A_agreeableness_cent = scale(D_A_agreeableness, scale = FALSE),
B_iri_perspective_cent = scale(B_iri_perspective, scale = FALSE),
D_iri_perspective_cent = scale(D_iri_perspective, scale = FALSE),
B_ptXagree_interaction = B_C_agreeableness_cent*B_iri_perspective_cent,
D_ptXagree_interaction = D_A_agreeableness_cent*D_iri_perspective_cent)
# Example for hearsay accuracy
agree_ha_p2ptmod_model <- rep_auto_id_mods(data = moderator_data,
target_self = c("C_C_agreeableness", "A_A_agreeableness"),
p2_reports = c("B_C_agreeableness_cent", "D_A_agreeableness_cent"),
id_mod_variable = c("B_iri_perspective_cent", "D_iri_perspective_cent"),
interaction_term = c("B_ptXagree_interaction", "D_ptXagree_interaction"))
ez_id_mod_table(agree_ha_p2ptmod_model)
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