midStats: A function to calculate statistics using bin midpoints
In scarpino/binequality: Methods for Analyzing Binned Income Data

Description Usage Arguments Details Value See Also Examples

This function calcualtes a suite of pre-defined statistics on binned distributions using pre-calculated midpoints for each bin.

1	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.

Gini Theil

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)