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ROADMAP.html
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ROADMAP.html
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@ -39,12 +39,12 @@
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<p>The current state of the app is considered experimental, and a lot of things are still changing. It is, however, in a usable state, with basic functions available to the user.</p>
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<p>The current state of the app is considered experimental, and a lot of things are still changing. It is, however, in a usable state, with basic functions available to the user.</p>
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<p>Below are some (the actual list is quite long and growing) of the planned features and improvements:</p>
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<p>Below are some (the actual list is quite long and growing) of the planned features and improvements:</p>
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<ul><li><p><label><input type="checkbox">Stratified analyses</label></p></li>
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<ul><li>
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<li>
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<p>Additional study designs in regression models (expansion of the regression analysis functionality have been put on hold for now to focus on the more basic use-cases):</p>
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<p>Additional study designs:</p>
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<ul class="task-list"><li><p><label><input type="checkbox" checked>Cross-sectional data analyses</label></p></li>
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<ul class="task-list"><li><p><label><input type="checkbox" checked>Cross-sectional data analyses</label></p></li>
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<li><p><label><input type="checkbox">Longitudinal data analyses</label></p></li>
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<li><p><label><input type="checkbox">Longitudinal data analyses</label></p></li>
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<li><p><label><input type="checkbox">Survival analysis</label></p></li>
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<li><p><label><input type="checkbox">Survival analysis</label></p></li>
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<li><p><label><input type="checkbox">Stratified analyses</label></p></li>
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</ul></li>
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</ul></li>
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<li>
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<li>
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<p>More detailed variable browser</p>
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<p>More detailed variable browser</p>
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</ul></li>
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</ul></li>
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<li>
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<li>
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<p>More output controls</p>
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<p>More output controls</p>
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<ul class="task-list"><li><p><label><input type="checkbox">Theming output tables</label></p></li>
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<ul class="task-list"><li><p><label><input type="checkbox" checked><del>Theming output tables</del> The “JAMA” theme is the new standard.</label></p></li>
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<li><p><label><input type="checkbox">Select analyses to include in report</label></p></li>
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<li><p><label><input type="checkbox" checked><del>Select analyses to include in report.</del> Includes characteristics table and regression table if present. No other analyses are intended for the report as of now.</label></p></li>
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</ul></li>
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</ul></li>
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<li><p><label><input type="checkbox" checked>Export modified data. 2025-01-16</label></p></li>
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<li><p><label><input type="checkbox" checked>Export modified data. 2025-01-16</label></p></li>
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<li><p><label><input type="checkbox">Include reproducible code for all steps (maybe not all, but most steps, and the final dataset can be exported)</label></p></li>
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<li><p><label><input type="checkbox" checked>Include reproducible code for all steps (maybe not all, but most steps, and the final dataset can be exported) 2025-04-10</label></p></li>
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<li><p><label><input type="checkbox" checked><del>Modify factor levels</del> Factor level modifications is possible through converting factors to numeric > cutting numeric with desired fixed values. 2024-12-12</label></p></li>
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<li><p><label><input type="checkbox" checked><del>Modify factor levels</del> Factor level modifications is possible through converting factors to numeric > cutting numeric with desired fixed values. 2024-12-12</label></p></li>
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<li><p><label><input type="checkbox" checked>More options for date/datetime/time grouping/factoring. Included weekday and month-only options. 2024-12-12</label></p></li>
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<li><p><label><input type="checkbox" checked>More options for date/datetime/time grouping/factoring. Included weekday and month-only options. 2024-12-12</label></p></li>
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<li>
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<li>
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<li><p><label><input type="checkbox" checked>Grotta bars for ordianl outcomes (and sankey) 2025-3-17</label></p></li>
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<li><p><label><input type="checkbox" checked>Grotta bars for ordianl outcomes (and sankey) 2025-3-17</label></p></li>
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<li><p><label><input type="checkbox" checked>Coefficient plotting for regression analyses (forest plot) 2025-2-20</label></p></li>
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<li><p><label><input type="checkbox" checked>Coefficient plotting for regression analyses (forest plot) 2025-2-20</label></p></li>
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</ul></li>
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</ul></li>
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</ul><p>Documentation:</p>
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<ul class="task-list"><li><p><label><input type="checkbox">Complete getting started page describing all functionality.</label></p></li>
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<li><p><label><input type="checkbox">Streamlined functions documentation</label></p></li>
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</ul><p>New features:</p>
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<ul class="task-list"><li><p><label><input type="checkbox">Merge data from multiple sources (this would in itself be a great feature, but not of highest importance)</label></p></li>
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<li><p><label><input type="checkbox">Additional plot types (missingness, <em>others…</em>)</label></p></li>
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</ul></div>
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</ul></div>
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</main></div>
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</main></div>
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@ -130,18 +130,28 @@ filtering options.</p>
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<div class="section level4">
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<div class="section level4">
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<h4 id="local-or-sample-data">Local or sample data<a class="anchor" aria-label="anchor" href="#local-or-sample-data"></a>
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<h4 id="local-or-sample-data">Local or sample data<a class="anchor" aria-label="anchor" href="#local-or-sample-data"></a>
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</h4>
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</h4>
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<p>When opening the online hosted app, this is mainly for testing
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purposes. When running the app locally from <em>R</em> on your own
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computer, you will find all data.frames in the current environment here.
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This extends the possible uses of this app to allow for quick and easy
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data insights and code generation for basic plotting to fine tune.</p>
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</div>
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</div>
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</div>
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</div>
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<div class="section level3">
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<div class="section level3">
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<h3 id="evaluate">Evaluate<a class="anchor" aria-label="anchor" href="#evaluate"></a>
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<h3 id="evaluate">Evaluate<a class="anchor" aria-label="anchor" href="#evaluate"></a>
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</h3>
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</h3>
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<p>This panel allows for basic data evaluation.</p>
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<div class="section level4">
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<div class="section level4">
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<h4 id="baseline">Baseline<a class="anchor" aria-label="anchor" href="#baseline"></a>
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<h4 id="characteristics">Characteristics<a class="anchor" aria-label="anchor" href="#characteristics"></a>
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</h4>
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</h4>
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<p>Create a classical baseline characteristics table with optional data
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stratification and comparisons.</p>
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</div>
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</div>
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<div class="section level4">
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<div class="section level4">
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<h4 id="correlation-matrix">Correlation matrix<a class="anchor" aria-label="anchor" href="#correlation-matrix"></a>
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<h4 id="correlation-matrix">Correlation matrix<a class="anchor" aria-label="anchor" href="#correlation-matrix"></a>
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</h4>
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</h4>
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<p>Visualise variable correlations and get suggestions to exclude highly
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correlated variables.</p>
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</div>
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</div>
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</div>
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</div>
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<div class="section level3">
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<div class="section level3">
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@ -3,7 +3,7 @@ pkgdown: 2.1.1
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pkgdown_sha: ~
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pkgdown_sha: ~
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articles:
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articles:
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FreesearchR: FreesearchR.html
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FreesearchR: FreesearchR.html
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last_built: 2025-04-09T10:49Z
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last_built: 2025-04-10T14:04Z
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urls:
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urls:
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reference: https://agdamsbo.github.io/FreesearchR/reference
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reference: https://agdamsbo.github.io/FreesearchR/reference
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article: https://agdamsbo.github.io/FreesearchR/articles
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article: https://agdamsbo.github.io/FreesearchR/articles
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@ -133,7 +133,7 @@
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<span class="r-out co"><span class="r-pr">#></span> z$qr <- NULL</span>
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<span class="r-out co"><span class="r-pr">#></span> z$qr <- NULL</span>
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<span class="r-out co"><span class="r-pr">#></span> z</span>
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<span class="r-out co"><span class="r-pr">#></span> z</span>
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<span class="r-out co"><span class="r-pr">#></span> }</span>
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<span class="r-out co"><span class="r-pr">#></span> }</span>
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<span class="r-out co"><span class="r-pr">#></span> <bytecode: 0x559101e5a0d0></span>
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<span class="r-out co"><span class="r-pr">#></span> <bytecode: 0x55639bc18138></span>
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<span class="r-out co"><span class="r-pr">#></span> <environment: namespace:stats></span>
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<span class="r-out co"><span class="r-pr">#></span> <environment: namespace:stats></span>
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</code></pre></div>
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</code></pre></div>
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</div>
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</div>
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