maximally_confirm_behavior: maximally_confirm_behavior

In ekmaloney/inteRact: Implements Affect Control Theory Equations in R

maximally_confirm_behavior

Description

Identify the behavior that would maximally confirm the identities of actor and object pairing

Identify the behavior that would maximally confirm the identities of actor and object pairing

Usage

maximally_confirm_behavior(
  d,
  equation_key = NULL,
  equation_gender = NULL,
  eq_df = NULL,
  ...
)

maximally_confirm_behavior(
  d,
  equation_key = NULL,
  equation_gender = NULL,
  eq_df = NULL,
  ...
)

Arguments

d	events dataframe reshaped by reshape_events_dataframe function with an actor and object pairing
equation_key	a string corresponding to the equation key from actdata
equation_gender	either average, male, or female, depending on if you are using gendered equations
eq_df	if you select "user supplied" for equation, this parameter should be your equation dataframe, which (should have been reshaped by the reshape_new_equation function prior)
actor	lowercase string corresponding to the actor identity
beh	lowercase string corresponding to the behavior term
object	lowercase string corresponding to the object identity
gender	either average, male, or female, depending on if you are using gendered equations
dictionary_key	a string corresponding to the dictionary from actdata you are using for cultural EPA measurements

Value

3 digit EPA indicating the optimal behavior

3 digit EPA indicating the optimal behavior

Examples

d <- tibble::tibble(actor = "ceo", object = "benefactor")
d <- reshape_events_df(df = d, df_format = "wide", dictionary_key = "usfullsurveyor2015", dictionary_gender = "average")
maximally_confirm_behavior(d = d, equation_key = "us2010", equation_gender = "average")

ekmaloney/inteRact documentation built on Feb. 20, 2023, 1:29 p.m.