startup

A dataset containing the startup costs (in thousands of dollars) of five companies.

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

startup function

A data frame with 60 rows and 2 variables:<dl class="dl-horizontal">
 <dt>Costs</dt><dd>price, in thousands of dollars</dd>
 <dt>company</dt><dd>company, a factor with levels "pets", "pizza", "gifts", "shoes" and "bakery"</dd>
</dl>

Format

Startup Costs of five different companies — startup

A data frame with 60 rows and 2 variables:<dl class='dl-horizontal'>
 <dt>Costs</dt><dd>price, in thousands of dollars</dd>
 <dt>company</dt><dd>company, a factor with levels "pets", "pizza", "gifts", "shoes" and "bakery"</dd>
</dl>

startup: Startup Costs of five different companies

Description

Usage

Arguments

Format