<metaproperty="og:title"content="A free and open-source browser based data analysis tool for researchers with publication ready output">
<metaname="description"content="Easily evaluate and analysis clinical health data in your browser on a server or on your own device. Import data from multiple sources, summarise, modify and visualise data and export key metrics and regression analysis results in a publication ready format.">
<metaproperty="og:description"content="Easily evaluate and analysis clinical health data in your browser on a server or on your own device. Import data from multiple sources, summarise, modify and visualise data and export key metrics and regression analysis results in a publication ready format.">
<liclass="nav-item"><aclass="external-link nav-link"href="https://github.com/agdamsbo/FreesearchR/"aria-label="GitHub"><spanclass="fa fab fa-github fa-lg"></span></a></li>
<p>The <ahref="https://app.freesearchr.org"class="external-link"><strong><em>FreesearchR</em></strong></a> is a simple, clinical health data exploration and analysis tool to democratise clinical research by assisting any researcher to easily evaluate and analyse data and export publication ready results.</p>
<p><ahref="https://app.freesearchr.org"class="external-link"><strong><em>FreesearchR</em></strong></a> is free and open-source, and is <ahref="https://app.freesearchr.org"class="external-link">accessible in your web browser through this link</a>. The app can also run locally, please <ahref="#run-locally-on-your-own-machine-sec-run-locally">see below</a>.</p>
<p>The <strong><em>FreesearchR</em></strong> app can also run on your own machine with no data transmitted anywhere. Blow are the available options.</p>
<divclass="section level3">
<h3id="run-from-r-or-rstduio">Run from R (or RStduio)<aclass="anchor"aria-label="anchor"href="#run-from-r-or-rstduio"></a>
</h3>
<p>Working with data in R, FreesearchR is a quick and easy tool to get overview and perform the first explorative analyses to get you going.</p>
<p>Any data available in the your R session will be available to the FreesearchR app. Just follow the below steps to get going:</p>
<li><p><strong>Requirement:</strong> You need to have <ahref="https://www.r-project.org/"class="external-link"><em>R</em> installed</a> and possibly an editor like <ahref="https://posit.co/download/rstudio-desktop/"class="external-link">RStudio</a>.</p></li>
<li>
<p>Then open the <em>R</em> console and copy/paste the following code, that will install the <ahref="https://devtools.r-lib.org/"class="external-link">devtools</a> package and then the <ahref="https://github.com/agdamsbo/FreesearchR"class="external-link">FreesearchR</a><em>R</em>-package with its dependencies:</p>
<p>Please note that the <strong><em>FreesearchR</em></strong> project is published with a <ahref="https://contributor-covenant.org/version/2/1/CODE_OF_CONDUCT.html"class="external-link">Contributor Code of Conduct</a>. By contributing to this project, you agree to abide by its terms.</p>
<p>Like any other project, this project was never possible without the great work of others. These are some of the sources and packages I have used:</p>
<li><p>The <strong><em>FreesearchR</em></strong> app is build with <ahref="https://shiny.posit.co/"class="external-link">Shiny</a> and based on <ahref="https://www.r-project.org/"class="external-link"><em>R</em></a>.</p></li>
<li><p><ahref="https://www.danieldsjoberg.com/gtsummary/"class="external-link">gtsummary</a>: superb and flexible way to create publication-ready analytical and summary tables.</p></li>
<li><p><ahref="https://github.com/dreamRs"class="external-link">dreamRs</a>: maintainers of a broad selection of great extensions and tools for <ahref="https://shiny.posit.co/"class="external-link">Shiny</a>.</p></li>
<li><p><ahref="https://easystats.github.io/easystats/"class="external-link">easystats</a>: the <ahref="https://easystats.github.io/performance/articles/check_model.html"class="external-link"><code>performance::check_model()</code></a> function was central in sparking the idea to create a data analysis tool.</p></li>
<li><p><ahref="https://biogen-inc.github.io/IDEAFilter/"class="external-link">IDEAfilter</a>: a visually appealing data filter function based on the <ahref="https://github.com/dgkf/shinyDataFilter"class="external-link">{shinyDataFilter}</a>.</p></li>
<p>The online <strong><em>FreesearchR</em></strong> app contains a tracking script, transmitting minimal data on usage. No uploaded data is transmitted anywhere. Have a look at the <ahref="https://analytics.gdamsbo.dk/share/2i4BNpMcDMB9lJvF/agdamsbo.shinyapps.io"class="external-link">tracking data here</a>. No tracking data is sent running the app locally (see above).</p>
