diet

Weight loss is studied for three different types of diets.

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

diet function

A data frame with 7 variables and 78 observations:<dl class="dl-horizontal">
 <dt><code>gender</code></dt><dd>gender</dd>
 <dt><code>age</code></dt><dd>age</dd>
 <dt><code>height</code></dt><dd>body height</dd>
 <dt><code>diet.type</code></dt><dd>three types of diet</dd>
 <dt><code>initial.weight</code></dt><dd>initial weight before diet</dd>
 <dt><code>final.weight</code></dt><dd>final weight after diet</dd>
 <dt><code>weight.loss</code></dt><dd>weight loss</dd>
 </dl>

Format

Diet and Weight Loss — diet

A data frame with 7 variables and 78 observations:<dl class='dl-horizontal'>
 <dt><code>gender</code></dt><dd>gender</dd>
 <dt><code>age</code></dt><dd>age</dd>
 <dt><code>height</code></dt><dd>body height</dd>
 <dt><code>diet.type</code></dt><dd>three types of diet</dd>
 <dt><code>initial.weight</code></dt><dd>initial weight before diet</dd>
 <dt><code>final.weight</code></dt><dd>final weight after diet</dd>
 <dt><code>weight.loss</code></dt><dd>weight loss</dd>
 </dl>

diet: Diet and Weight Loss

Description

Usage

Arguments

Format

Details

References

Examples