Type: Package
Title: Teaching Data for Statistics and Data Science
Version: 0.5.3
Description: Provides data sets for teaching statistics and data science courses. It includes a sample of data from John Edmund Kerrich's famous coinflip experiment. These are data that I used for statistics. The package also contains an R Markdown template with the required formatting for assignments in my former courses.
License: GPL-3
URL: https://chris-prener.github.io/testDriveR/, https://github.com/chris-prener/testDriveR
BugReports: https://github.com/chris-prener/testDriveR/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
Suggests: ggplot2, knitr, rmarkdown, testthat
NeedsCompilation: no
Packaged: 2025-02-02 19:08:56 UTC; chris
Author: Christopher Prener ORCID iD [aut, cre], Bill Bradley [dtc], NORC at the University of Chicago [dtc], UN Inter-agency Group for Child Mortality Estimation [dtc], U.S. Department of Energy [dtc]
Maintainer: Christopher Prener <chris.prener@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-02 19:20:02 UTC

Model Year 2017 Vehicles

Description

A data set containing model year 2017 vehicles for sale in the United States.

Usage

data(auto17)

Format

A data frame with 1216 rows and 21 variables:

id

DOT vehicle ID number

mfr

vehicle manufacturer

mfrDivision

vehicle brand

carLine

vehicle name

carClass

vehicle type, numeric

carClassStr

vehicle type, string

cityFE

fuel economy, city

hwyFE

fuel economy, highway

combFE

fuel economy, combined

guzzlerStr

poor fuel economy

fuelStr

fuel, abbrev.

fuelStr2

fuel, full

fuelCost

estimated fuel cost

displ

engine displacement

transStr

transmission, full

transStr2

transmission, abbrev.

gears

number of gears

cyl

number of cylinders

airAsp

air aspiration method

driveStr

vehicle drive type, abbrev.

driveStr2

vehicle drive type, full

Source

https://www.fueleconomy.gov/feg/download.shtml

Examples

str(auto17)
head(auto17)

UNICEF Childhood Mortality Data

Description

A data set containing time series data by country for estimated under-5, infant, and neonatal mortality rates.

Usage

data(childMortality)

Format

A data frame with 28982 rows and 6 variables:

countryISO

two-letter country code

countryName

full name of country

continent

name of continent

category

type of mortality rate - infant_MR, child_MR, or under5_MR

year

year of estimate

estimate

estimated mortality rate

Source

https://childmortality.org

Examples

str(childMortality)

2014 General Social Survey

Description

A data set containing data on work, salary, and education from the 2014 General Social Survey. Missing data are explicitly identified with NAs and all data are represented as factors when appropriate.

Usage

data(gss14)

Format

A data frame with 2538 rows and 19 variables:

YEAR

GSS year for this respondent

INCOME06

Total family income (2006 version)

INCOM16

Rs family income when 16 yrs old

REG16

Region of residence, age 16

RACE

Race of respondent

SEX

Respondents sex

SPDEG

Spouses highest degree

MADEG

Mothers highest degree

PADEG

Fathers highest degree

DEGREE

Rs highest degree

CHILDS

Number of children

SPWRKSLF

Spouse self-emp. or works for somebody

SPHRS1

Number of hrs spouse worked last week

MARITAL

Marital status

WRKSLF

R self-emp or works for somebody

HRS1

Number of hours worked last week

WRKSTAT

Labor force status

ID_

Respondent id number

BALLOT

Ballot used for interview

Source

https://gssdataexplorer.norc.org

Examples

str(gss14)
head(gss14)

2014 General Social Survey (Simplified)

Description

A data set containing data on work, salary, and education from the 2014 General Social Survey. Missing data are not explicitly identified with NAs and all data are represented numerically instead of as factors when appropriate.

Usage

data(gss14_simple)

Format

A data frame with 2538 rows and 19 variables:

YEAR

GSS year for this respondent

INCOME06

Total family income (2006 version)

INCOM16

Rs family income when 16 yrs old

REG16

Region of residence, age 16

RACE

Race of respondent

SEX

Respondents sex

SPDEG

Spouses highest degree

MADEG

Mothers highest degree

PADEG

Fathers highest degree

DEGREE

Rs highest degree

CHILDS

Number of children

SPWRKSLF

Spouse self-emp. or works for somebody

SPHRS1

Number of hrs spouse worked last week

MARITAL

Marital status

WRKSLF

R self-emp or works for somebody

HRS1

Number of hours worked last week

WRKSTAT

Labor force status

ID_

Respondent id number

BALLOT

Ballot used for interview

Source

https://gssdataexplorer.norc.org

Examples

str(gss14_simple)
head(gss14_simple)

Kerrich Coin Toss Trial Outcomes

Description

A data set containing 2,000 trials of coin flips from statistician John Edmund Kerrich's 1940s experiments while imprisoned by the Nazis during World War Two.

Usage

data(kerrich)

Format

A data frame with 1216 rows and 21 variables:

id

trial

outcome

outcome of each trial; TRUE = heads, FALSE = tails

average

cumulative mean of outcomes

Source

https://stats.stackexchange.com/questions/76663/john-kerrich-coin-flip-data/77044#77044

https://books.google.com/books/about/An_experimental_introduction_to_the_theo.html?id=JBTvAAAAMAAJ&hl=en

References

https://en.wikipedia.org/wiki/John_Edmund_Kerrich

Examples

str(kerrich)

if (require("ggplot2")) {
    ggplot(data = kerrich) +
        geom_hline(mapping = aes(yintercept = .5, color = "p(heads)")) +
        geom_line(mapping = aes(x = id, y = average)) +
        ylim(0,1)
}

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