disp {REAT} | R Documentation |
Calculating a set of concentration/inequality/dispersion measures
disp(x, weighting = NULL, at.epsilon = 0.5, na.rm = TRUE)
x |
a |
weighting |
a weighting vector, e.g. population |
at.epsilon |
Weighting parameter |
na.rm |
logical argument that indicates whether NA values should be excluded before computing results |
This function is a convenient wrapper for all functions calculating concentration/inequality measures.
A matrix
containing the concentration/inequality measures.
Thomas Wieland
Gluschenko, K. (2018): “Measuring regional inequality: to weight or not to weight?” In: Spatial Economic Analysis, 13, 1, p. 36-59.
Portnov, B.A./Felsenstein, D. (2010): “On the suitability of income inequality measures for regional analysis: Some evidence from simulation analysis and bootstrapping tests”. In: Socio-Economic Planning Sciences, 44, 4, p. 212-219.
atkinson
, coulter
, dalton
, cv
, gini2
, herf
, hoover
, sd2
, theil
, williamson
data(Automotive)
disp(Automotive$Turnover2008)
disp(Automotive[4:8])