Crime: Data from the US FBI Uniform Crime Report, 1960

In statisticalModeling: Functions for Teaching Statistical Modeling

Description

A report of the number of offenses reported to police per million population, and many other social and demographic variables. Each case corresponds to a state in the US.

Usage

data(Crime)

Format

A data frame with 47 cases, each of which is a US state, with observations on the following variables.

• R Crime rate: number of offenses reported to police per million population.

• Age Number of males aged 14-24 per 1000 population

• N State population (in 100,000s)

• W State-wise median value of transferable goods and assets or family income in tens of dollars.

• X Number of families per 1000 earning below half the median income.

• ExDiff Change in per capita expenditure on police by state and local government from 1950 to 1960

• Ex0 1960 per capita expenditures on police.

Source

FBI Uniform Crime Report via DASL: Data and Story Library

Examples

mod_1 <- lm(R ~ W, data = Crime)
mod_2 <- lm(R ~ X, data = Crime)
mod_3 <- lm(R ~ W + X, data = Crime)
effect_size(mod_1, ~ W)
effect_size(mod_3, ~ W)
effect_size(mod_2, ~ X)
effect_size(mod_3, ~ X)

Example output

Loading required package: ggplot2
      slope   W     to:W
1 0.1768934 537 633.4909
      slope   W     to:W   X
1 0.5191506 537 633.4909 176
       slope   X     to:X
1 -0.1735502 176 215.8961
      slope   X     to:X   W
1 0.9363932 176 215.8961 537

statisticalModeling documentation built on May 29, 2017, 11:56 p.m.