adjusted_example

A simulated dataset demonstrating group differences in three variables. This dataset includes two groups and one covariate, <code>sex</code>.

datasets

Global hypothesis tests combine information across multiple endpoints to test a single hypothesis. The prediction test is a recently proposed global hypothesis test with good performance for small sample sizes and many endpoints of interest. The test is also flexible in the types and combinations of expected results across the individual endpoints. This package provides functions for data processing and calculation of the prediction test.

Neal Montgomery

PredTest

Preparing Data For, and Calculating the Prediction Test

Richard Vargas

adjusted_example function

A data frame with 20 rows and 5 variables:<dl>
<dt>group</dt>
<dd>A binary factor indicating group membership: <code>0</code> for control and <code>1</code> for treatment.</dd><dt>sex</dt>
<dd>A binary factor indicating sex: <code>0</code> for male and <code>1</code> for female.</dd><dt>v1</dt>
<dd>A numeric vector representing the first variable.</dd><dt>v2</dt>
<dd>A numeric vector representing the second variable.</dd><dt>v3</dt>
<dd>A numeric vector representing the third variable.</dd>
</dl>

Format

Adjusted Example Dataset — adjusted_example

A data frame with 20 rows and 5 variables:<dl>
<dt>group</dt>
<dd>A binary factor indicating group membership: <code>0</code> for control and <code>1</code> for treatment.</dd>

<dt>sex</dt>
<dd>A binary factor indicating sex: <code>0</code> for male and <code>1</code> for female.</dd>

<dt>v1</dt>
<dd>A numeric vector representing the first variable.</dd>

<dt>v2</dt>
<dd>A numeric vector representing the second variable.</dd>

<dt>v3</dt>
<dd>A numeric vector representing the third variable.</dd>


</dl>

adjusted_example: Adjusted Example Dataset

Description

Usage

Arguments

Format

Examples