prt.subjects

Data from a Progressive Resistance Randomized Trial.

datasets

Provides functions and datasets to support the book
by Galecki and Burzykowski (2013),
'Linear Mixed-Effects Models: A Step-by-Step Approach',
Springer. Includes functions for power calculations,
log-likelihood contributions, and data simulation
for linear mixed-effects models.

Andrzej Galecki

nlmeU

Functions and Data Supporting 'Linear Mixed-Effects Models: A
Step-by-Step Approach'

Andrzej T. Galecki

Tomasz Burzykowski

prt.subjects function

A data frame with 63 rows and 5 columns:<dl>
 <dt>id</dt>
<dd>A factor with 63 levels: <code>5</code>, <code>10</code>, <code>15</code>, <code>20</code>, <code>25</code>, ...</dd> <dt>prt.f</dt>
<dd>A factor with 2 levels: <code>High</code>, <code>Low</code></dd> <dt>age.f</dt>
<dd>A factor with 2 levels: <code>Young</code>, <code>Old</code></dd> <dt>sex.f</dt>
<dd>A factor with 2 levels: <code>Female</code>, <code>Male</code></dd> <dt>bmi</dt>
<dd>A numeric vector with values from 18.4 to 32.3</dd>
</dl>

Format

prt.subjects Data (63 x 5) — prt.subjects

A data frame with 63 rows and 5 columns:<dl>
 <dt>id</dt>
<dd>A factor with 63 levels: <code>5</code>, <code>10</code>, <code>15</code>, <code>20</code>, <code>25</code>, ...</dd>

 <dt>prt.f</dt>
<dd>A factor with 2 levels: <code>High</code>, <code>Low</code></dd>

 <dt>age.f</dt>
<dd>A factor with 2 levels: <code>Young</code>, <code>Old</code></dd>

 <dt>sex.f</dt>
<dd>A factor with 2 levels: <code>Female</code>, <code>Male</code></dd>

 <dt>bmi</dt>
<dd>A numeric vector with values from 18.4 to 32.3</dd>


</dl>

prt.subjects: prt.subjects Data (63 x 5)

Description

Usage

Arguments

Format

Details

Examples