Function to Generate the Re-identification of the Object

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

Arguments

d: a dataframe from reshape events that should be only actor_modifier and actor elements or object_modifier and object elements
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

Value

dataframe with 3 columns corresponding to the EPA of optimal object identity relabel

Examples

d <- tibble::tibble(actor = "ceo", behavior = "advise", object = "benefactor")
d <- reshape_events_df(df = d, df_format = "wide", dictionary_key = "usfullsurveyor2015", dictionary_gender = "average")
#> Joining, by = c("term", "component")
reidentify_object(d = d, equation_key= "us2010", equation_gender = "average")
#> Adding missing grouping variables: `event_id`
#> # A tibble: 1 × 3
#>       E      P     A
#>   <dbl>  <dbl> <dbl>
#> 1  2.67 -0.648  2.58