Compute variation features — compute_variation • wdiexplorer

Calculates average dissimilarities between countries, group-wise country dissimilarities, and silhouette widths.

Usage

compute_variation(
  wdi_data,
  index = NULL,
  diss_matrix = compute_dissimilarity(wdi_data, index = index),
  group_var
)

Arguments

wdi_data: A data frame of the indicator data generated by get_wdi_data
index: An optional character string specifying the indicator code Defaults to NULL
diss_matrix: An optional dissimilarity matrix generated by compute_dissimilarity
group_var: A grouping variable in the WDI data set (e.g., "region" or "income")

Value

A data frame with columns country, group, country_avg_dist, within_group_dist, and sil_width.

Examples

pm_variation <- compute_variation(pm_data, group_var = "region")