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<!DOCTYPE html>
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Hospital data analysis workflow tools, modeling, and automations. This library
provides many useful tools to review common administrative hospital data. Some
of these include average length of stay, readmission rates, average net pay
amounts by service lines just to name a few. The aim is to provide a simple
and consistent verb framework that takes the guesswork out of everything.">
<title>Hospital Data Analysis Workflow Tools • healthyR</title>
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<meta property="og:description" content="
Hospital data analysis workflow tools, modeling, and automations. This library
provides many useful tools to review common administrative hospital data. Some
of these include average length of stay, readmission rates, average net pay
amounts by service lines just to name a few. The aim is to provide a simple
and consistent verb framework that takes the guesswork out of everything.">
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<div class="page-header"><h1 id="healthyr-">healthyR <img src="reference/figures/test7.png" width="147" height="170" align="right"><a class="anchor" aria-label="anchor" href="#healthyr-"></a>
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<p>The goal of healthyR is to help quickly analyze common data problems in the Administrative and Clincial spaces.</p>
<div class="section level2">
<h2 id="installation">Installation<a class="anchor" aria-label="anchor" href="#installation"></a>
</h2>
<p>You can install the released version of healthyR from <a href="https://CRAN.R-project.org" class="external-link">CRAN</a> with:</p>
<div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/utils/install.packages.html" class="external-link">install.packages</a></span><span class="op">(</span><span class="st">"healthyR"</span><span class="op">)</span></span></code></pre></div>
<p>And the development version from <a href="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/" class="external-link">GitHub</a> with:</p>
<div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
<code class="sourceCode R"><span><span class="co"># install.packages("devtools")</span></span>
<span><span class="fu">devtools</span><span class="fu">::</span><span class="fu"><a href="https://remotes.r-lib.org/reference/install_github.html" class="external-link">install_github</a></span><span class="op">(</span><span class="st">"spsanderson/healthyR"</span><span class="op">)</span></span></code></pre></div>
</div>
<div class="section level2">
<h2 id="example">Example<a class="anchor" aria-label="anchor" href="#example"></a>
</h2>
<p>This is a basic example of using the ts_median_excess_plt() function`:</p>
<div class="sourceCode" id="cb3"><pre class="downlit sourceCode r">
<code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="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/spsanderson/healthyR" class="external-link">healthyR</a></span><span class="op">)</span></span>
<span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="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/business-science/timetk" class="external-link">timetk</a></span><span class="op">)</span></span>
<span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://dplyr.tidyverse.org" class="external-link">dplyr</a></span><span class="op">)</span></span>
<span></span>
<span><span class="fu"><a href="reference/ts_signature_tbl.html">ts_signature_tbl</a></span><span class="op">(</span>.data <span class="op">=</span> <span class="va">m4_daily</span>, .date_col <span class="op">=</span> <span class="va">date</span>, .pad_time <span class="op">=</span> <span class="cn">TRUE</span>, <span class="va">id</span><span class="op">)</span> <span class="op"><a href="reference/pipe.html">%>%</a></span></span>
<span> <span class="fu"><a href="reference/ts_median_excess_plt.html">ts_median_excess_plt</a></span><span class="op">(</span></span>
<span> .date_col <span class="op">=</span> <span class="va">date</span></span>
<span> , .value_col <span class="op">=</span> <span class="va">value</span></span>
<span> , .x_axis <span class="op">=</span> <span class="va">week</span></span>
<span> , .ggplot_group_var <span class="op">=</span> <span class="va">year</span></span>
<span> , .years_back <span class="op">=</span> <span class="fl">5</span></span>
<span> <span class="op">)</span></span></code></pre></div>
<p><img src="reference/figures/README-example-1.png" width="100%"></p>
<p>Here is a simple example of using the ts_signature_tbl() function:</p>
<div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
<code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="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/spsanderson/healthyR" class="external-link">healthyR</a></span><span class="op">)</span></span>
<span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="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/business-science/timetk" class="external-link">timetk</a></span><span class="op">)</span></span>
<span></span>
<span><span class="fu"><a href="reference/ts_signature_tbl.html">ts_signature_tbl</a></span><span class="op">(</span>.data <span class="op">=</span> <span class="va">m4_daily</span>, .date_col <span class="op">=</span> <span class="va">date</span><span class="op">)</span></span>
<span><span class="co">#> # A tibble: 17,578 × 31</span></span>
<span><span class="co">#> id date value index.num diff year year.iso half quarter month</span></span>
<span><span class="co">#> <fct> <date> <dbl> <dbl> <dbl> <int> <int> <int> <int> <int></span></span>
<span><span class="co">#> 1 D410 1978-06-23 9109. 267408000 NA 1978 1978 1 2 6</span></span>
<span><span class="co">#> 2 D410 1978-06-24 9103. 267494400 86400 1978 1978 1 2 6</span></span>
<span><span class="co">#> 3 D410 1978-06-25 9116. 267580800 86400 1978 1978 1 2 6</span></span>
<span><span class="co">#> 4 D410 1978-06-26 9116. 267667200 86400 1978 1978 1 2 6</span></span>
<span><span class="co">#> 5 D410 1978-06-27 9106. 267753600 86400 1978 1978 1 2 6</span></span>
<span><span class="co">#> 6 D410 1978-06-28 9094. 267840000 86400 1978 1978 1 2 6</span></span>
<span><span class="co">#> 7 D410 1978-06-29 9094. 267926400 86400 1978 1978 1 2 6</span></span>
<span><span class="co">#> 8 D410 1978-06-30 9084. 268012800 86400 1978 1978 1 2 6</span></span>
<span><span class="co">#> 9 D410 1978-07-01 9081. 268099200 86400 1978 1978 2 3 7</span></span>
<span><span class="co">#> 10 D410 1978-07-02 9047. 268185600 86400 1978 1978 2 3 7</span></span>
<span><span class="co">#> # ℹ 17,568 more rows</span></span>
<span><span class="co">#> # ℹ 21 more variables: month.xts <int>, month.lbl <ord>, day <int>, hour <int>,</span></span>
<span><span class="co">#> # minute <int>, second <int>, hour12 <int>, am.pm <int>, wday <int>,</span></span>
<span><span class="co">#> # wday.xts <int>, wday.lbl <ord>, mday <int>, qday <int>, yday <int>,</span></span>
<span><span class="co">#> # mweek <int>, week <int>, week.iso <int>, week2 <int>, week3 <int>,</span></span>
<span><span class="co">#> # week4 <int>, mday7 <int></span></span></code></pre></div>
<p>Here is a simple example of using the plt_gartner_magic_chart() function:</p>
<div class="sourceCode" id="cb5"><pre class="downlit sourceCode r">
<code class="sourceCode R"><span></span>
<span><span class="fu"><a href="https://rdrr.io/r/base/message.html" class="external-link">suppressPackageStartupMessages</a></span><span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="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/spsanderson/healthyR" class="external-link">healthyR</a></span><span class="op">)</span><span class="op">)</span></span>
<span><span class="fu"><a href="https://rdrr.io/r/base/message.html" class="external-link">suppressPackageStartupMessages</a></span><span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://tibble.tidyverse.org/" class="external-link">tibble</a></span><span class="op">)</span><span class="op">)</span></span>
<span><span class="fu"><a href="https://rdrr.io/r/base/message.html" class="external-link">suppressPackageStartupMessages</a></span><span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://dplyr.tidyverse.org" class="external-link">dplyr</a></span><span class="op">)</span><span class="op">)</span></span>
<span></span>
<span><span class="fu"><a href="reference/gartner_magic_chart_plt.html">gartner_magic_chart_plt</a></span><span class="op">(</span></span>
<span> .data <span class="op">=</span> <span class="fu"><a href="https://tibble.tidyverse.org/reference/tibble.html" class="external-link">tibble</a></span><span class="op">(</span>x <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/stats/Normal.html" class="external-link">rnorm</a></span><span class="op">(</span><span class="fl">100</span>, <span class="fl">0</span>, <span class="fl">1</span><span class="op">)</span>, y <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/stats/Normal.html" class="external-link">rnorm</a></span><span class="op">(</span><span class="fl">100</span>, <span class="fl">0</span>, <span class="fl">1</span><span class="op">)</span><span class="op">)</span></span>
<span> , .x_col <span class="op">=</span> <span class="va">x</span></span>
<span> , .y_col <span class="op">=</span> <span class="va">y</span></span>
<span> , .y_lab <span class="op">=</span> <span class="st">"los"</span></span>
<span> , .x_lab <span class="op">=</span> <span class="st">"RA"</span></span>
<span> , .plt_title <span class="op">=</span> <span class="st">"Test Title"</span></span>
<span> , .tl_lbl <span class="op">=</span> <span class="st">"Top Left lbl"</span></span>
<span> , .tr_lbl <span class="op">=</span> <span class="st">"Top Right lbl"</span></span>
<span> , .bl_lbl <span class="op">=</span> <span class="st">"Bottom Left lbl"</span></span>
<span> , .br_lbl <span class="op">=</span> <span class="st">"Bottom Right lbl"</span></span>
<span><span class="op">)</span></span></code></pre></div>
<p><img src="reference/figures/README-gartner_chart-1.png" width="100%"></p>
</div>
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<h2 data-toc-skip>Links</h2>
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<li><a href="https://cloud.r-project.org/package=healthyR" class="external-link">View on CRAN</a></li>
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<li><a href="https://github.com/spsanderson/healthyR/issues" class="external-link">Report a bug</a></li>
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<h2 data-toc-skip>Developers</h2>
<ul class="list-unstyled">
<li>Steven Sanderson <br><small class="roles"> Author, maintainer </small> </li>
<li><a href="authors.html">More about authors...</a></li>
</ul>
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<h2 data-toc-skip>Dev status</h2>
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<li><a href="https://cran.r-project.org/package=healthyR" class="external-link"><img src="http:https://www.r-pkg.org/badges/version/healthyR" alt="CRAN_Status_Badge"></a></li>
<li><a href="https://lifecycle.r-lib.org/articles/stages.html##experimental" class="external-link"><img src="https://img.shields.io/badge/lifecycle-experimental-orange.svg" alt="Lifecycle: experimental"></a></li>
<li><a href="https://makeapullrequest.com" class="external-link"><img src="https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square" alt="PRs Welcome"></a></li>
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<p>Developed by Steven Sanderson.</p>
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