Fit quantiles to vocabulary sizes using quantile regression

Usage

fit_vocab_quantiles(vocab_data, measure, group, quantiles = "standard")

Arguments

vocab_data: A data frame returned by get_administration_data.
measure: A column of vocab_data with vocabulary values (production or comprehension).
group: (Optional) A column of vocab_data to group by.
quantiles: Either one of "standard" (default), "deciles", "quintiles", "quartiles", "median", or a numeric vector of quantile values.

Value

A data frame with the columns "language", "form", "age", group

(if specified), "quantile", and measure, where measure is the fit vocabulary value for that quantile at that age.

Examples

# \donttest{
eng_wg <- get_administration_data(language = "English (American)",
                                  form = "WG",
                                  include_demographic_info = TRUE)
if (!is.null(eng_wg)) {
  vocab_quantiles <- fit_vocab_quantiles(eng_wg, production)
  vocab_quantiles_sex <- fit_vocab_quantiles(eng_wg, production, sex)
  vocab_quartiles <- fit_vocab_quantiles(eng_wg, production, quantiles = "quartiles")
}
#> Warning: `fit_vocab_quantiles()` was deprecated in wordbankr 1.0.0.
#> ℹ Please use the vocabulary norms shiny app at
#>   http://wordbank.stanford.edu/analyses?name=vocab_norms
# }