midStats {binequality} | R Documentation |
This function calcualtes a suite of pre-defined statistics on binned distributions using pre-calculated midpoints for each bin.
midStats(data)
data |
a (non-empty) data frame with columns named ID, mids, and hb. |
Currently has the following stats: 'mean','median','gini','theil','cv','MLD'. FIXME - reference to functions in gamlss
Returns a data frame with the following columns: 'ID','mean','median','gini','theil','cv','MLD', 'SLD'. "cv" is the coefficient of variation, "MLD" is the mean log deviance, and "SLD" is the squar root of the MLD.
data(state_bins) bin_mids <- getMids(ID = state_bins[,'State'], hb = state_bins[,'hb'], lb = state_bins[,'bin_min'], ub = state_bins[,'bin_max'], alpha_bound = 10/9) state_bin_mid_stats <- midStats(data = bin_mids$mids)