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and modelEffectSizes function. The function had to be taken
separately from the package as the package was removed from
CRAN and the dependency was failing.
From the original documentation: "Calculates unique SSRs, SSE,
SST. Based on these SSs, it calculates partial eta2 and delta
R2 for all effects in a linear model object. For categorical
variables coded as factors, it calculates these for multi-df
effect. Manually code regressors to get 1 df effects Uses
car::Anova() with Type 3 error"'><title>Get effect sizes (lmSupport::modelEffectSizes) â€” lmSupport_modelEffectSizes â€¢ rempsyc</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.1.3/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.1.3/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.rawgit.com/afeld/bootstrap-toc/v1.0.1/dist/bootstrap-toc.min.js"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get effect sizes (lmSupport::modelEffectSizes) â€” lmSupport_modelEffectSizes"><meta property="og:description" content='Get effect sizes from the lmSupport package
and modelEffectSizes function. The function had to be taken
separately from the package as the package was removed from
CRAN and the dependency was failing.
From the original documentation: "Calculates unique SSRs, SSE,
SST. Based on these SSs, it calculates partial eta2 and delta
R2 for all effects in a linear model object. For categorical
variables coded as factors, it calculates these for multi-df
effect. Manually code regressors to get 1 df effects Uses
car::Anova() with Type 3 error"'><meta property="og:image" content="https://rempsyc.remi-theriault.com/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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  <main id="main" class="col-md-9"><div class="page-header">
      <img src="../logo.png" class="logo" alt=""><h1>Get effect sizes (lmSupport::modelEffectSizes)</h1>
      <small class="dont-index">Source: <a href="https://github.com/rempsyc/rempsyc/blob/HEAD/R/lmsupport_modeleffectsizes.R" class="external-link"><code>R/lmsupport_modeleffectsizes.R</code></a></small>
      <div class="d-none name"><code>lmSupport_modelEffectSizes.Rd</code></div>
    </div>

    <div class="ref-description section level2">
    <p>Get effect sizes from the <code>lmSupport</code> package
and <code>modelEffectSizes</code> function. The function had to be taken
separately from the package as the package was removed from
CRAN and the dependency was failing.</p>
<p>From the original documentation: "Calculates unique SSRs, SSE,
SST. Based on these SSs, it calculates partial eta2 and delta
R2 for all effects in a linear model object. For categorical
variables coded as factors, it calculates these for multi-df
effect. Manually code regressors to get 1 df effects Uses
car::Anova() with Type 3 error"</p>
    </div>

    <div class="section level2">
    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">lmSupport_modelEffectSizes</span><span class="op">(</span><span class="va">Model</span>, Print <span class="op">=</span> <span class="cn">TRUE</span>, Digits <span class="op">=</span> <span class="fl">4</span><span class="op">)</span></span></code></pre></div>
    </div>

    <div class="section level2">
    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
    <dl><dt>Model</dt>
<dd><p>a linear model, produced by lm</p></dd>


<dt>Print</dt>
<dd><p>Display results to screen. Default = TRUE</p></dd>


<dt>Digits</dt>
<dd><p>Number of digits for printing effect sizes</p></dd>

</dl></div>
    <div class="section level2">
    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
    

<p>Returns a list with fields for effect sizes, SSE, and SST.</p>
    </div>
    <div class="section level2">
    <h2 id="author">Author<a class="anchor" aria-label="anchor" href="#author"></a></h2>
    <p>John J. Curtin, <a href="mailto:jjcurtin@wisc.edu">jjcurtin@wisc.edu</a></p>
    </div>

    <div class="section level2">
    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co"># \donttest{</span></span></span>
<span class="r-in"><span><span class="va">m</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/lm.html" class="external-link">lm</a></span><span class="op">(</span><span class="va">mpg</span> <span class="op">~</span> <span class="va">cyl</span> <span class="op">+</span> <span class="va">disp</span>, data <span class="op">=</span> <span class="va">mtcars</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="fu">lmSupport_modelEffectSizes</span><span class="op">(</span><span class="va">m</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> lm(formula = mpg ~ cyl + disp, data = mtcars)</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Coefficients</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>                   SSR df pEta-sqr dR-sqr</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> (Intercept) 1728.9312  1   0.8646     NA</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> cyl           46.4184  1   0.1464 0.0412</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> disp          37.5940  1   0.1219 0.0334</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Sum of squared errors (SSE): 270.7</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Sum of squared total  (SST): 1126.0</span>
<span class="r-in"><span><span class="co"># }</span></span></span>
<span class="r-in"><span></span></span>
</code></pre></div>
    </div>
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