victim_lorenz: Lorenz curves for victimisation distributions

In prestevez/victim: Victimisation Analysis and Reporting

Description

A wrapper for a series of functions to generate Lorenz plots from vectors of counts of victimisation incidents. Includes option to include Expected counts under Poisson or Negative Binomial expected counts.

Usage

victim_lorenz(x, data = NULL, family = c("none", "poisson", "nbinom"),
  reps = 500, by_var = NULL)

Arguments

x	a vector of counts or the name of a column of counts in data
data	a data frame
family	an option based on gini_test that adds curves for the expected counts under the null hypothesis of a poisson or a negative binomial distribution using an aggregate Monte Carlo simulation with 500 replicates
reps	passes option of replicates to gini_test
by_var	the name of a factor variable in the data frame

Examples

victim_lorenz("bribes", data = testdata, family = "poisson")

prestevez/victim documentation built on Jan. 30, 2020, 7:16 p.m.