ow.anova

This function simplifies the call for one-way ANOVA (ow.anova) on a given data frame. Also allows calls for Tukey's Honestly Significant Difference Post-Hoc Comparisons Test (hsd), as well as a means plot (plot).

Simplifies functions assess normality for bivariate and multivariate statistical techniques. Includes functions designed to replicate plots and tables that would result from similar calls in 'SPSS', including hst(), box(), qq(), tab(), cormat(), and residplot(). Also includes simplified formulae, such as mode(), scatter(), p.corr(), ow.anova(), and rm.anova().

Burrel Jr

vannstats

Simplified Statistical Procedures for Social Sciences

Burrel Vann Jr

ow.anova function

<dl><dt>df</dt>
<dd>data frame to read in.</dd>
<dt>var1</dt>
<dd>the dependent/outcome variable, \(Y\).</dd>
<dt>by1</dt>
<dd>the main independent/predictor variable, \(X\). A grouping variable by which <code>var1</code> should be parsed.</dd>
<dt>plot</dt>
<dd>logical (default set to <code>F</code>). When set to <code>plot = T</code>, will return a means plot with 95 percent confidence intervals, broken out by each group (<code>by1</code>).</dd>
<dt>hsd</dt>
<dd>logical (default set to <code>F</code>). When set to <code>hsd = T</code>, will return results of Tukey's Honestly Significant Difference Post-Hoc Comparisons Test.</dd></dl>

Arguments

Simplified One-Way Analysis of Variance — ow.anova

<dl>

<dt>df</dt>
<dd>data frame to read in.</dd>


<dt>var1</dt>
<dd>the dependent/outcome variable, \(Y\).</dd>


<dt>by1</dt>
<dd>the main independent/predictor variable, \(X\). A grouping variable by which <code>var1</code> should be parsed.</dd>


<dt>plot</dt>
<dd>logical (default set to <code>F</code>). When set to <code>plot = T</code>, will return a means plot with 95 percent confidence intervals, broken out by each group (<code>by1</code>).</dd>


<dt>hsd</dt>
<dd>logical (default set to <code>F</code>). When set to <code>hsd = T</code>, will return results of Tukey's Honestly Significant Difference Post-Hoc Comparisons Test.</dd>

</dl>

ow.anova: Simplified One-Way Analysis of Variance

Description

Usage

Value

Arguments

Examples