fairml (version 0.8)

communities.and.crime: Communities and Crime Data Set

Description

Combined socio-economic data from the 1990 Census, law enforcement data from the 1990 LEMAS survey, and crime data from the 1995 FBI UCR for various communities in the United States.

Usage

data(communities.and.crime)

Format

The data contains 1969 observations and 104 variables. See the UCI Machine Learning Repository for details.

References

UCI Machine Learning Repository:
http://archive.ics.uci.edu/ml/datasets/communities+and+crime

Examples

data(communities.and.crime)

# short-hand variable names.
cc = communities.and.crime[complete.cases(communities.and.crime), ]
r = cc[, "ViolentCrimesPerPop"]
s = cc[, c("racepctblack", "PctForeignBorn")]
p = cc[, setdiff(names(cc), c("ViolentCrimesPerPop", names(s)))]

m = nclm(response = r, sensitive = s, predictors = p, unfairness = 0.05)
summary(m)

m = frrm(response = r, sensitive = s, predictors = p, unfairness = 0.05)
summary(m)