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Calculate Structural Stigma Scores

Source: R/stigmaR.R
stigmaR.Rd

Merges state- and year-level structural indices derived from publicly available data into your dataset. You can find all available indices in stigmaRdata.

Usage

stigmaR(df, state, index, year)

Arguments

df

A data frame containing your data.

state

Character string. Name of the column in df containing two-letter state abbreviations (e.g., "IL", "CA").

index

Character vector. One or more composite indices to merge in. The set of valid indices is determined automatically from the columns of the bundled composite dataset (every column except state and year). Examples include:

  • "iat_sex_implicit": IAT D-score (implicit pro-straight bias; higher = more stigma)

  • "iat_sex_explicit_pol": Average of policy opposition items (marriage rights, relations legality, adoption, service refusal, transgender bathroom)

See names(stigmaR::composite) for the full, current list.

year

Character vector. Years to merge in (e.g., c("2016", "2017")). Each year x index combination becomes one new column named YYYY_iat_sex_implicit (as an exeample).

Value

The input data frame with new columns named YYYY_iat_sex_implicit containing matched state-level stigma scores for each requested year and index.

References

Kim, S. & Todd, N. R. (2027). stigmaR: Enhancing Accessibility, Reproducibility, and Transparency of Structural Stigma Research.

Examples

if (FALSE) { # \dontrun{
new_df <- stigmaR(
  df    = my_data,
  state = "state_abbrev",
  index = c("iat_sex_implicit", "iat_sex_explicit_pol"),
  year  = c("2016", "2017")
)
} # }