Trucking_jobs: Earnings of workers at a trucking company.

In mosaicModel: An Interface to Statistical Modeling Independent of Model Architecture

Description

A dataset from a mid-western US trucking company on annual earnings of its employees in 2007. Datasets like this are used in audits by the Federal Government to look for signs of discrimination.

Usage

data(Trucking_jobs)

Format

A data frame Trucking_jobs with 129 rows and 11 variables.

• sex The employee's sex: M or F

• earnings Annual earnings, in dollars. Hourly wages have been converted to a full-time basis.

• age The employee's age, in years.

• title The employee's job title.

• hiredyears How long the employee has been working for the company.

Examples

mod_1 = lm(earnings ~ age + hiredyears + sex, data = Trucking_jobs)

Example output

Loading required package: mosaicCore
Loading required package: splines
Loading required package: dplyr

Attaching package: ‘dplyr’

The following objects are masked from ‘package:mosaicCore’:

    count, tally

The following objects are masked from ‘package:stats’:

    filter, lag

The following objects are masked from ‘package:base’:

    intersect, setdiff, setequal, union


Attaching package: ‘mosaicModel’

The following objects are masked from ‘package:mosaicCore’:

    ci.mean, ci.median, ci.sd, coverage

mosaicModel documentation built on May 2, 2019, 7:59 a.m.