APIM_table | R Documentation |
Actor-partner interdependence model that test multiple moderators simultaneously.
APIM_table(
data,
predictor_a,
predictor_p,
outcome_a,
outcome_p,
mod_a = NULL,
mod_p = NULL,
mod_type = "mod",
return_result = FALSE
)
data |
data frame object |
predictor_a |
predictor variable name for actor |
predictor_p |
predictor variable name for partner |
outcome_a |
dependent variable name for actor |
outcome_p |
dependent variable name for partner |
mod_a |
moderation variable name for actor. Support |
mod_p |
moderation variable name for partner. Support |
mod_type |
only 'mod' is supported for now |
return_result |
return |
data.frame of the APIM table
APIM_table(data = acitelli,
predictor_a = 'Tension_A',
predictor_p = 'Tension_P',
outcome_a = 'Satisfaction_A',
outcome_p = 'Satisfaction_P',
mod_a = c('SelfPos_A','OtherPos_A','SimHob_A'),
mod_p = c('SelfPos_P','OtherPos_P','SimHob_P'))
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