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Includes dichotomous or olr, depending on number of levels in "x".
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Title and axis labels can be added to the ggplot afterwards.'><title>Confidence interval plot with point estimate — ci_plot • stRoke</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-5.2.2/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.2.2/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.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></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="Confidence interval plot with point estimate — ci_plot"><meta property="og:description" content='Horizontal forest plot of point estimate with confidence intervals.
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Includes dichotomous or olr, depending on number of levels in "x".
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<main id="main" class="col-md-9"><div class="page-header">
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<img src="../logo.png" class="logo" alt=""><h1>Confidence interval plot with point estimate</h1>
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<small class="dont-index">Source: <a href="https://github.com/agdamsbo/stRoke/blob/HEAD/R/ci_plot.R" class="external-link"><code>R/ci_plot.R</code></a></small>
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<div class="d-none name"><code>ci_plot.Rd</code></div>
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</div>
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<div class="ref-description section level2">
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<p>Horizontal forest plot of point estimate with confidence intervals.
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Includes dichotomous or olr, depending on number of levels in "x".
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Title and axis labels can be added to the ggplot afterwards.</p>
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</div>
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<div class="section level2">
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<h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
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<div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">ci_plot</span><span class="op">(</span></span>
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<span> <span class="va">ds</span>,</span>
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<span> x <span class="op">=</span> <span class="cn">NULL</span>,</span>
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<span> y <span class="op">=</span> <span class="cn">NULL</span>,</span>
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<span> vars <span class="op">=</span> <span class="cn">NULL</span>,</span>
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<span> dec <span class="op">=</span> <span class="fl">3</span>,</span>
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<span> lbls <span class="op">=</span> <span class="cn">NULL</span>,</span>
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<span> title <span class="op">=</span> <span class="cn">NULL</span>,</span>
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<span> method <span class="op">=</span> <span class="st">"auto"</span></span>
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<span><span class="op">)</span></span></code></pre></div>
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</div>
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<div class="section level2">
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<h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
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<dl><dt>ds</dt>
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<dd><p>main input, either data set or logistic model</p></dd>
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<dt>x</dt>
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<dd><p>text string of main exposure variable</p></dd>
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<dt>y</dt>
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<dd><p>text string of outcome variable</p></dd>
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<dt>vars</dt>
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<dd><p>variables for multivariate analysis.</p></dd>
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<dt>dec</dt>
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<dd><p>Decimals in labels</p></dd>
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<dt>lbls</dt>
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<dd><p>Labels for variable names</p></dd>
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<dt>title</dt>
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<dd><p>Plot title. Can be specified later.</p></dd>
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<dt>method</dt>
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<dd><p>Character vector. The method for the regression.
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Can be c("auto", "model").</p></dd>
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</dl></div>
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<div class="section level2">
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<h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
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<p>ggplot element</p>
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</div>
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<div class="section level2">
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<h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
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<div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co"># Auto plot</span></span></span>
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<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/data.html" class="external-link">data</a></span><span class="op">(</span><span class="va">talos</span><span class="op">)</span></span></span>
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<span class="r-in"><span><span class="va">talos</span><span class="op">[</span>,<span class="st">"mrs_1"</span><span class="op">]</span><span class="op"><-</span><span class="fu"><a href="https://rdrr.io/r/base/factor.html" class="external-link">factor</a></span><span class="op">(</span><span class="va">talos</span><span class="op">[</span>,<span class="st">"mrs_1"</span><span class="op">]</span>,ordered<span class="op">=</span><span class="cn">TRUE</span><span class="op">)</span></span></span>
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<span class="r-in"><span><span class="fu">ci_plot</span><span class="op">(</span>ds <span class="op">=</span> <span class="va">talos</span>, x <span class="op">=</span> <span class="st">"rtreat"</span>, y <span class="op">=</span> <span class="st">"mrs_1"</span>, </span></span>
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<span class="r-in"><span>vars <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"hypertension"</span>,<span class="st">"diabetes"</span><span class="op">)</span><span class="op">)</span></span></span>
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<span class="r-msg co"><span class="r-pr">#></span> Waiting for profiling to be done...</span>
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<span class="r-plt img"><img src="ci_plot-1.png" alt="" width="700" height="433"></span>
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<span class="r-in"><span><span class="co">## Model plot</span></span></span>
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<span class="r-in"><span><span class="co"># iris$ord<-factor(sample(1:3,size=nrow(iris),replace=TRUE),ordered=TRUE)</span></span></span>
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<span class="r-in"><span><span class="co"># lm <- MASS::polr(ord~., data=iris, Hess=TRUE, method="logistic")</span></span></span>
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<span class="r-in"><span><span class="co"># ci_plot(ds = lm, method="model")</span></span></span>
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</code></pre></div>
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