swimming

At a swimming team practice, all participants were asked to swim their best event as far as possible, but in each case the time that was reported was falsified to indicate poorer than expected performance (i.e., each swimmer was disappointed). 30 min later, they did the same performance. The authors predicted that on the second trial more pessimistic swimmers would do worse than on their first trial,
whereas optimistic swimmers would do better. The response is ratio = Time1/Time2 (&gt; 1 means that a swimmer did better in trial 2).

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

swimming function

A data frame with 4 variables and 58 observations:<dl>
 <dt><code>Optim</code></dt>
<dd>Optimists and pessimists</dd> <dt><code>Sex</code></dt>
<dd>Gender of the swimmer</dd> <dt><code>Event</code></dt>
<dd>Swimming event: freestyle, breaststroke, backstroke</dd> <dt><code>Ratio</code></dt>
<dd>Ratio between the swimming times</dd> 
</dl>

Format

Optimistic and Pessimistic Swimmers — swimming

A data frame with 4 variables and 58 observations:<dl>
 <dt><code>Optim</code></dt>
<dd>Optimists and pessimists</dd>

 <dt><code>Sex</code></dt>
<dd>Gender of the swimmer</dd>

 <dt><code>Event</code></dt>
<dd>Swimming event: freestyle, breaststroke, backstroke</dd>

 <dt><code>Ratio</code></dt>
<dd>Ratio between the swimming times</dd>

 
</dl>

swimming: Optimistic and Pessimistic Swimmers

Description

Usage

Arguments

Format

References

Examples