goggles

This dataset is about the effects of alcohol on mate selection in night-clubs. The hypothesis is that after alcohol had been consumed, subjective perceptions of physical attractiveness would become more inaccurate (beer-goggles effect). There are 48 participants: 24 males, 24 
females. The reseacher took 3 groups of 8 participants to a night club. One group got no alcohol, one group 2 pints, and one group 4 pints. 
At the end of the evening the researcher took a photograph of the person the participant was chatting up. The attractiveness of the person 
on the photo was then evaluated by independent judges.

datasets

A collection of robust statistical methods based on Wilcox' WRS functions. It implements robust t-tests (independent and dependent samples), robust ANOVA (including between-within subject designs), quantile ANOVA, robust correlation, robust mediation, and nonparametric ANCOVA models based on robust location measures.

Patrick Mair

WRS2

A Collection of Robust Statistical Methods

Rand Wilcox

Indrajeet Patil

goggles function

A data frame with 3 variables and 48 observations:<dl>
 <dt><code>gender</code></dt>
<dd>24 male, 24 female students</dd> <dt><code>alcohol</code></dt>
<dd>amount of alcohol consumed</dd> <dt><code>attractiveness</code></dt>
<dd>attractiveness rating (0-100)</dd> 
</dl>

Format

Beer Goggles Effect — goggles

A data frame with 3 variables and 48 observations:<dl>
 <dt><code>gender</code></dt>
<dd>24 male, 24 female students</dd>

 <dt><code>alcohol</code></dt>
<dd>amount of alcohol consumed</dd>

 <dt><code>attractiveness</code></dt>
<dd>attractiveness rating (0-100)</dd>

 
</dl>

goggles: Beer Goggles Effect

Description

Usage

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Details

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Examples