pizza

A dataset containing the delivery times for pizza (in minutes) under different conditions.

datasets

Implemented are the Wald-type statistic,
a permuted version thereof as well as the ANOVA-type statistic
for general factorial designs, even with non-normal error terms
and/or heteroscedastic variances, for crossed designs with an
arbitrary number of factors and nested designs with up to three factors.
Friedrich et al. (2017) <doi:10.18637/jss.v079.c01>.

Sarah Friedrich

Tests for General Factorial Designs

pizza function

A data frame with 16 rows and 6 variables:<dl class="dl-horizontal">
 <dt>Crust</dt><dd>a factor with levels "thick" and "thin"</dd>
 <dt>Coke</dt><dd>whether or not Coke was ordered with the pizza ("yes" or "no")</dd>
 <dt>Bread</dt><dd>whether or not garlic bread was ordered with the pizza ("yes" or "no")</dd>
 <dt>Driver</dt><dd>the sex of the driver, a factor with levels "M" and "F"</dd>
 <dt>Hour</dt><dd>time of order in hours after midnight</dd>
 <dt>Delivery</dt><dd>Delivery time in minutes</dd>
</dl>

Format

Pizza delivery times — pizza

A data frame with 16 rows and 6 variables:<dl class='dl-horizontal'>
 <dt>Crust</dt><dd>a factor with levels "thick" and "thin"</dd>
 <dt>Coke</dt><dd>whether or not Coke was ordered with the pizza ("yes" or "no")</dd>
 <dt>Bread</dt><dd>whether or not garlic bread was ordered with the pizza ("yes" or "no")</dd>
 <dt>Driver</dt><dd>the sex of the driver, a factor with levels "M" and "F"</dd>
 <dt>Hour</dt><dd>time of order in hours after midnight</dd>
 <dt>Delivery</dt><dd>Delivery time in minutes</dd>
</dl>

pizza: Pizza delivery times

Description

Usage

Arguments

Format