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 function

A data frame with 2471 rows and 9 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>, ..., <code>520</code> (subject id)</dd> <dt>prt.f</dt>
<dd>A factor with 2 levels: <code>High</code>, <code>Low</code>, i.e., training (intervention) intensity</dd> <dt>age.f</dt>
<dd>A factor with 2 levels: <code>Young</code>, <code>Old</code> (stratifying variable)</dd> <dt>sex.f</dt>
<dd>A factor with 2 levels: <code>Female</code>, <code>Male</code> (stratifying variable)</dd> <dt>bmi</dt>
<dd>A numeric vector with values of BMI at baseline ranging from 18.36 to 32.29</dd> <dt>iso.fo</dt>
<dd>A numeric vector with values of isometric force ranging from 0.16 to 2.565</dd> <dt>spec.fo</dt>
<dd>A numeric vector with values of specific force ranging from 80.5 to 290</dd> <dt>occ.f</dt>
<dd>A factor with 2 levels: <code>Pre</code>, <code>Pos</code>, i.e., pre- and post-intervention</dd> <dt>fiber.f</dt>
<dd>A factor with 2 levels: <code>Type 1</code>, <code>Type 2</code>, i.e., Type 1 and Type 2 muscle fiber</dd>
</dl>

Format

prt Data (2471 x 9) — prt

A data frame with 2471 rows and 9 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>, ..., <code>520</code> (subject id)</dd>

 <dt>prt.f</dt>
<dd>A factor with 2 levels: <code>High</code>, <code>Low</code>, i.e., training (intervention) intensity</dd>

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

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

 <dt>bmi</dt>
<dd>A numeric vector with values of BMI at baseline ranging from 18.36 to 32.29</dd>

 <dt>iso.fo</dt>
<dd>A numeric vector with values of isometric force ranging from 0.16 to 2.565</dd>

 <dt>spec.fo</dt>
<dd>A numeric vector with values of specific force ranging from 80.5 to 290</dd>

 <dt>occ.f</dt>
<dd>A factor with 2 levels: <code>Pre</code>, <code>Pos</code>, i.e., pre- and post-intervention</dd>

 <dt>fiber.f</dt>
<dd>A factor with 2 levels: <code>Type 1</code>, <code>Type 2</code>, i.e., Type 1 and Type 2 muscle fiber</dd>


</dl>

prt: prt Data (2471 x 9)

Description

Usage

Arguments

Format

Details

See Also

Examples