alveolar

Alveolar cell count data were collected by Lacroix et al. (2002).

datasets

Performs two-way tests in independent groups designs. These are two-way ANOVA, two-way ANOVA under heteroscedasticity: parametric bootstrap based generalized test and generalized pivotal quantity based generalized test (Ananda et al., 2022) <doi:10.1080/03610926.2022.2059682>, two-way ANOVA for medians, trimmed means, M-estimators (Wilcox, 2011; ISBN:978-0-12-386983-8). The package performs descriptive statistics and graphical approaches. Moreover, it assesses variance homogeneity and normality of data in each group via tests and plots. All 'twowaytests' functions are designed for two-way layout.

Osman Dag

twowaytests

Two-Way Tests in Independent Groups Designs

alveolar function

A data frame with 36 observations on the following 3 variables.<dl>
 <dt><code>ovalbumin</code></dt>
<dd>a factor with levels: no (ovalbumin-nonsensitized); yes (ovalbumin-sensitized)</dd> <dt><code>treatment</code></dt>
<dd>a factor with levels: acetaldehyde; air; benzaldehyde</dd> <dt><code>cell</code></dt>
<dd>Alveolar count x 10^6</dd> 
</dl>

Format

Alveolar Cell Count Data — alveolar

A data frame with 36 observations on the following 3 variables.<dl>
 <dt><code>ovalbumin</code></dt>
<dd>a factor with levels: no (ovalbumin-nonsensitized); yes (ovalbumin-sensitized)</dd>

 <dt><code>treatment</code></dt>
<dd>a factor with levels: acetaldehyde; air; benzaldehyde</dd>

 <dt><code>cell</code></dt>
<dd>Alveolar count x 10^6</dd>

 
</dl>

alveolar: Alveolar Cell Count Data

Description

Usage

Arguments

Format

References

Examples