Package {essentialstools}

Title: Datasets and Utilities for Essentials of Statistics for the Behavioral Sciences
Version: 0.1.8
Description: Provides instructional datasets and simple wrapper functions for selected analyses used in 'Essentials of Statistics for the Behavioral Sciences' (Gravetter et al., 2026). The package is intended to support textbook examples by distributing data in a form that is easy for students and instructors to access within R. Current functionality includes packaged datasets and convenience wrappers for functions from 'ez', 'pwr', and 'WebPower' for analysis of variance and statistical power calculations.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
Depends: R (≥ 3.5)
LazyData: true
Imports: ez, WebPower, pwr
NeedsCompilation: no
Packaged: 2026-10-14 22:38:10 UTC; Jim
Author: James Witnauer [aut, cre]
Maintainer: James Witnauer <jwitnaue@brockport.edu>
Repository: CRAN
Date/Publication: 2026-10-14 23:02:08 UTC

Electric Vehicle Population Data

Description

A dataset of electric vehicle registrations, including Battery Electric Vehicles (BEVs) and Plug-in Hybrid Electric Vehicles (PHEVs).

Usage

EVData

Format

A data frame with 10 variables:

Vehicle_Number

Integer identifier for the vehicle record

County

County of registration

City

City of registration

State

State abbreviation

Postal_Code

ZIP code

Model_Year

Vehicle model year

Make

Vehicle manufacturer

Model

Vehicle model

Electric_Vehicle

Type of electric vehicle (e.g., BEV, PHEV)

Electric_Range

Electric range in miles

Details

The dataset is provided in the same format as it would appear when read directly from a CSV file into R.

Source

Based on Washington State Department of Licensing, Electric Vehicle Population Data, https://data.wa.gov/

Examples

data(EVData)
head(EVData)

Interactive Search Data

Description

An instructional dataset for examples and exercises involving visual search or interactive search behavior. The dataset is modeled after research on visual search in a real-world interactive search paradigm.

Usage

SearchData

Format

A data frame with 20 rows and 4 variables:

Participant

Description of Participant.

Easy

Description of Easy.

Medium

Description of Medium.

Hard

Description of Hard.

Source

Dataset adapted for instructional use and modeled after Sauter, M., Stefani, M., and Mack, W. (2020). Towards interactive search: Investigating visual search in a novel real-world paradigm. Brain Sciences, 10(12), 927. doi:10.3390/brainsci10120927

Sleep Duration Data

Description

A small instructional dataset containing sleep duration and demographic information. The dataset is modeled after research on subjective temporalities during COVID-19.

Usage

SleepData

Format

A data frame with 26 rows and 5 variables:

Participant_ID

Participant identifier.

Sleep_Duration

Sleep duration.

Sex

Participant sex.

Age

Participant age in years.

Country

Participant country.

Source

Dataset adapted for instructional use and modeled after Chaumon and colleagues (2022). The Blursday database as a resource to study subjective temporalities during COVID-19. Nature Human Behaviour, 6(11), 1587-1599. doi:10.1038/s41562-022-01419-2

Balance Duration Data

Description

Data for an exercise involving balance duration.

Usage

balance_duration

Format

A data frame with 36 observations and 3 variables:

participant

character variable.

age

integer variable.

balance

integer variable.

Source

Imported from balance_duration.csv.

Examples

data(balance_duration)
head(balance_duration)

Bird Reaction Time Data

Description

A small instructional dataset containing reaction time data by condition. Hypothetical data were inspired by Hahner, L., & Nieder, A. (2023). Costs and benefits of voluntary attention in crows. Royal Society Open Science, 10(8), 230517. https://doi.org/10.1098/rsos.230517

Usage

birdRT

Format

A data frame with variables:

Condition

Experimental condition

RT

Reaction time

Source

Instructional dataset.

Blick Data

Description

Data for the Blick exercise.

Usage

blick

Format

A data frame with 330 observations and 3 variables:

participant

character variable.

condition

character variable.

response

character variable.

Source

Imported from blick.csv.

Examples

data(blick)
head(blick)

Exercise Data

Description

A dataset provided for statistical teaching examples.

Usage

exercise

Format

A data frame with 18 rows and 3 variables.

Hummingbird Data

Description

A dataset provided for statistical teaching examples.

Usage

hummingbird

Format

A data frame with 13 rows and 2 variables.

Illusion Data

Description

Data for the illusion exercise.

Usage

illusion

Format

A data frame with 24 observations and 3 variables:

participant

character variable.

group

character variable.

illusion_strength

integer variable.

Source

Imported from illusion.csv.

Examples

data(illusion)
head(illusion)

Intuition Data

Description

Data for the intuition exercise.

Usage

intuition

Format

A data frame with 9 observations and 3 variables:

participant

character variable.

spoken

integer variable.

written

integer variable.

Source

Imported from intuition.csv.

Examples

data(intuition)
head(intuition)

Music Business Survey Data

Description

A small dataset containing responses from music-related businesses or workers. The variables describe county, distance, business type, work location, and income source information.

Usage

music

Format

A data frame with 20 rows and 6 variables:

county

County of the respondent or business.

distance

Distance from a reference location, measured in miles.

business

Type of music-related business or work arrangement.

workloc

Primary work location.

localinc

Amount of income earned locally.

tourinc

Amount of income earned from touring.

Details

Based on data collected by the City of Austin, TX: City of Austin Open Data Portal. (2024). Austin Music Census, 2022. https://data.austintexas.gov/stories/s/Austin-Music-Census/rpy8-prg4

Source

User-provided sample dataset.

Examples

data(music)
head(music)
table(music$county)

Rapport Data

Description

Data for the rapport exercise.

Usage

rapport

Format

A data frame with 32 observations and 4 variables:

participant

character variable.

verbal

character variable.

behavioral

character variable.

memory

integer variable.

Source

Imported from rapport.csv.

Examples

data(rapport)
head(rapport)

ezANOVA wrapper for Essentials tools

Description

Convenience wrapper around ez::ezANOVA() used in the book.

Usage

run_ez_anova(...)

Arguments

...

Passed to ez::ezANOVA().

Value

The result from ez::ezANOVA().

pwr.t.test wrapper for Essentials tools

Description

Convenience wrapper around pwr::pwr.t.test().

Usage

run_pwr_t_test(...)

Arguments

...

Passed to pwr::pwr.t.test().

Value

The result from pwr::pwr.t.test().

Examples

run_pwr_t_test(n = NULL,
               d = 0.5,
               sig.level = 0.05,
               power = 0.8,
               type = "one.sample")

webpower t-test wrapper for Essentials tools

Description

Convenience wrapper around WebPower::wp.t() used in the book.

Usage

run_wp_ttest(...)

Arguments

...

Passed to WebPower::wp.t().

Value

The result from WebPower::wp.t().

Examples

run_wp_ttest(n1 = 50,
             d = 0.5,
             alpha = 0.05,
             power = NULL,
             type = "one.sample")