chisq_count: Chi-sq test of a count distribution

In prestevez/victim: Victimisation Analysis and Reporting

Description

Performs a chi-squared test of a count distribution against a vector of probabilities calculated via a monte carlo simulation of distributions under the null hypothesis of poisson or negative binomial expected counts.

Usage

chisq_count(x, data = NULL, B = 500, family = c("poisson", "nbinom"))

Arguments

x	a vector of count data or a name of a count data column in data
data	a data frame
B	nuber of replicates for simulating the distributions and for calculating the p-value of the chi-squared test if any expected counts are fewer than 5.
family	families for the null hypothesis

Examples

chisq_count(testdata$extortions, family = "poisson")

# batch using \code{\link{chisq_tb}}
lx <- lapply(c("extortions", "bribes"), chisq_count, testdata, B = 2000, family = "poisson")
chisq_tb(lx, stars = TRUE)

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