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testDist.html
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1107 lines (1050 loc) · 69.8 KB
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<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml" lang="en" xml:lang="en"><head>
<meta charset="utf-8">
<meta name="generator" content="quarto-1.5.47">
<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
<title>Distribution Explorer</title>
<style>
code{white-space: pre-wrap;}
span.smallcaps{font-variant: small-caps;}
div.columns{display: flex; gap: min(4vw, 1.5em);}
div.column{flex: auto; overflow-x: auto;}
div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;}
ul.task-list{list-style: none;}
ul.task-list li input[type="checkbox"] {
width: 0.8em;
margin: 0 0.8em 0.2em -1em; /* quarto-specific, see https://github.com/quarto-dev/quarto-cli/issues/4556 */
vertical-align: middle;
}
</style>
<script src="testDist_files/libs/clipboard/clipboard.min.js"></script>
<script src="testDist_files/libs/quarto-html/quarto.js"></script>
<script src="testDist_files/libs/quarto-html/popper.min.js"></script>
<script src="testDist_files/libs/quarto-html/tippy.umd.min.js"></script>
<script src="testDist_files/libs/quarto-html/anchor.min.js"></script>
<link href="testDist_files/libs/quarto-html/tippy.css" rel="stylesheet">
<link href="testDist_files/libs/quarto-html/quarto-syntax-highlighting.css" rel="stylesheet" id="quarto-text-highlighting-styles">
<script src="testDist_files/libs/bootstrap/bootstrap.min.js"></script>
<link href="testDist_files/libs/bootstrap/bootstrap-icons.css" rel="stylesheet">
<link href="testDist_files/libs/bootstrap/bootstrap.min.css" rel="stylesheet" id="quarto-bootstrap" data-mode="light">
<script src="testDist_files/libs/quarto-dashboard/quarto-dashboard.js"></script>
<script src="testDist_files/libs/quarto-dashboard/stickythead.js"></script>
<script src="testDist_files/libs/quarto-dashboard/datatables.min.js" kdttablesentinel="true"></script>
<script src="testDist_files/libs/quarto-dashboard/pdfmake.min.js" kdttablesentinel="true"></script>
<script src="testDist_files/libs/quarto-dashboard/vfs_fonts.js" kdttablesentinel="true"></script>
<script src="testDist_files/libs/quarto-dashboard/web-components.js" type="module"></script>
<script src="testDist_files/libs/quarto-dashboard/components.js"></script>
<link href="testDist_files/libs/quarto-dashboard/datatables.min.css" rel="stylesheet" kdttablesentinel="true">
</head>
<body class="quarto-dashboard dashboard-fill fullcontent">
<header id="quarto-dashboard-header">
<nav class="navbar navbar-expand-md slim" data-bs-theme="dark">
<div class="navbar-container container-fluid">
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#dashboard-collapse" aria-controls="dashboard-collapse" aria-expanded="false" aria-label="Toggle navigation">
<span class="navbar-toggler-icon"></span>
</button>
<div class="navbar-brand-container">
<div class="navbar-title">
<div class="navbar-title-text"><a href="#">Distribution Explorer</a></div>
</div>
</div>
<div id="dashboard-collapse" class="navbar-collapse collapse"><ul class="navbar-nav navbar-nav-scroll me-auto" role="tablist"><li class="nav-item" role="presentation"><a id="tab-distributions" class="nav-link active" data-bs-toggle="tab" role="tab" data-bs-target="#distributions" data-scrolling="false" href="#distributions" aria-controls="distributions" aria-selected="true"><span class="nav-link-text">Distributions</span></a></li><li class="nav-item" role="presentation"><a id="tab-check-your-data" class="nav-link" data-bs-toggle="tab" role="tab" data-bs-target="#check-your-data" data-scrolling="false" href="#check-your-data" aria-controls="check-your-data" aria-selected="false"><span class="nav-link-text">Check your data</span></a></li></ul></div></div>
</nav>
</header>
<div class="page-layout-custom quarto-dashboard-content bslib-gap-spacing html-fill-container bslib-page-fill quarto-dashboard-pages">
<div class="bslib-grid-item html-fill-item tab-content bslib-grid" data-layout="fill" style="display: grid; grid-template-rows: minmax(3em, 1fr); grid-auto-columns: minmax(0, 1fr);">
<div id="distributions" class="dashboard-page tab-pane show active html-fill-item html-fill-container" data-orientation="rows" aria-labelledby="tab-distributions">
<div class="html-fill-item html-fill-container bslib-grid dashboard-sidebar-container" style="display: grid; grid-template-rows: minmax(3em, 70fr) minmax(3em, 30fr); grid-auto-columns: minmax(0, 1fr);">
<div class="bslib-sidebar-layout html-fill-item html-fill-container" data-bslib-sidebar-open="desktop" data-bslib-sidebar-init="true" style=" --bslib-sidebar-width: 30%"><div class="main html-fill-container html-fill-item"><div class="sidebar-content html-fill-item html-fill-container">
<div class="html-fill-item html-fill-container bslib-grid" style="display: grid; grid-template-columns: minmax(3em, 70fr);
grid-auto-rows: minmax(0, 1fr);">
<div class="html-fill-item html-fill-container bslib-grid" style="display: grid; grid-template-rows: minmax(3em, 1fr); grid-auto-columns: minmax(0, 1fr);">
<div class="card cell html-fill-item html-fill-container bslib-card" data-bslib-card-init="" data-require-bs-caller="card()" data-full-screen="false">
<div class="card-body html-fill-item html-fill-container">
<div class="cell-output-display html-fill-item html-fill-container">
<div class="shiny-plot-output html-fill-item html-fill-container" id="dist_plot" style="width:100%;height:360px;"></div>
</div>
</div>
<bslib-tooltip placement="auto" bsoptions="[]" data-require-bs-version="5" data-require-bs-caller="tooltip()">
<template>Expand</template>
<span class="bslib-full-screen-enter badge rounded-pill">
<svg xmlns="http://www.w3.org/2000/svg" viewbox="0 0 24 24" style="height:1em;width:1em;" aria-hidden="true" role="img"><path d="M20 5C20 4.4 19.6 4 19 4H13C12.4 4 12 3.6 12 3C12 2.4 12.4 2 13 2H21C21.6 2 22 2.4 22 3V11C22 11.6 21.6 12 21 12C20.4 12 20 11.6 20 11V5ZM4 19C4 19.6 4.4 20 5 20H11C11.6 20 12 20.4 12 21C12 21.6 11.6 22 11 22H3C2.4 22 2 21.6 2 21V13C2 12.4 2.4 12 3 12C3.6 12 4 12.4 4 13V19Z"></path></svg>
</span>
</bslib-tooltip><script data-bslib-card-init="">bslib.Card.initializeAllCards();</script></div>
</div>
</div>
</div></div><aside id="bslib-sidebar-1" class="sidebar html-fill-container html-fill-item"><div class="html-fill-item html-fill-container">
<div class="cell-output-display no-overflow-x">
<div class="form-group shiny-input-container">
<label class="control-label" id="dist-label" for="dist">Distribution:</label>
<div>
<select id="dist" class="shiny-input-select"><option value="Student's t" selected="">Student's t</option>
<option value="Normal">Normal</option>
<option value="Gamma">Gamma</option>
<option value="Beta">Beta</option></select>
<script type="application/json" data-for="dist" data-nonempty="">{"plugins":["selectize-plugin-a11y"]}</script>
</div>
</div>
</div>
<div class="cell-output-display">
<div class="shiny-panel-conditional" data-display-if="input.dist == 'Student\'s t'" data-ns-prefix="">
<div class="form-group shiny-input-container no-baseline">
<label class="control-label" id="t_df-label" for="t_df">Degrees of Freedom (ν)</label>
<input class="js-range-slider" id="t_df" data-skin="shiny" data-min="1" data-max="30" data-from="10" data-step="1" data-grid="true" data-grid-num="9.66666666666667" data-grid-snap="false" data-prettify-separator="," data-prettify-enabled="true" data-keyboard="true" data-data-type="number">
</div>
<span class="help-block">Higher values approximate Normal (lighter tails).</span>
<div class="form-group shiny-input-container no-baseline">
<label class="control-label" id="t_mu-label" for="t_mu">Location (μ)</label>
<input class="js-range-slider" id="t_mu" data-skin="shiny" data-min="-5" data-max="5" data-from="0" data-step="0.1" data-grid="true" data-grid-num="10" data-grid-snap="false" data-prettify-separator="," data-prettify-enabled="true" data-keyboard="true" data-data-type="number">
</div>
<span class="help-block">Shifts the distribution left/right.</span>
<div class="form-group shiny-input-container no-baseline">
<label class="control-label" id="t_sigma-label" for="t_sigma">Scale (σ)</label>
<input class="js-range-slider" id="t_sigma" data-skin="shiny" data-min="0.1" data-max="3" data-from="1" data-step="0.1" data-grid="true" data-grid-num="9.66666666666667" data-grid-snap="false" data-prettify-separator="," data-prettify-enabled="true" data-keyboard="true" data-data-type="number">
</div>
<span class="help-block">Controls spread (larger = wider).</span>
</div>
</div>
<div class="cell-output-display">
<div class="shiny-panel-conditional" data-display-if="input.dist == 'Normal'" data-ns-prefix="">
<div class="form-group shiny-input-container no-baseline">
<label class="control-label" id="n_mu-label" for="n_mu">Mean (μ)</label>
<input class="js-range-slider" id="n_mu" data-skin="shiny" data-min="-5" data-max="5" data-from="0" data-step="0.1" data-grid="true" data-grid-num="10" data-grid-snap="false" data-prettify-separator="," data-prettify-enabled="true" data-keyboard="true" data-data-type="number">
</div>
<span class="help-block">Moves the center left/right.</span>
<div class="form-group shiny-input-container no-baseline">
<label class="control-label" id="n_sigma-label" for="n_sigma">SD (σ)</label>
<input class="js-range-slider" id="n_sigma" data-skin="shiny" data-min="0.1" data-max="3" data-from="1" data-step="0.1" data-grid="true" data-grid-num="9.66666666666667" data-grid-snap="false" data-prettify-separator="," data-prettify-enabled="true" data-keyboard="true" data-data-type="number">
</div>
<span class="help-block">Controls width of the distribution.</span>
</div>
</div>
<div class="cell-output-display">
<div class="shiny-panel-conditional" data-display-if="input.dist == 'Gamma'" data-ns-prefix="">
<span class="help-block">Gamma parameterization: shape α and rate β (mean = α/β).</span>
<div class="form-group shiny-input-container no-baseline">
<label class="control-label" id="g_shape-label" for="g_shape">Shape (α > 0)</label>
<input class="js-range-slider" id="g_shape" data-skin="shiny" data-min="0.1" data-max="10" data-from="2" data-step="0.1" data-grid="true" data-grid-num="9.9" data-grid-snap="false" data-prettify-separator="," data-prettify-enabled="true" data-keyboard="true" data-data-type="number">
</div>
<span class="help-block">Higher values → more bell-shaped.</span>
<div class="form-group shiny-input-container no-baseline">
<label class="control-label" id="g_rate-label" for="g_rate">Rate (β > 0)</label>
<input class="js-range-slider" id="g_rate" data-skin="shiny" data-min="0.1" data-max="5" data-from="1" data-step="0.1" data-grid="true" data-grid-num="9.8" data-grid-snap="false" data-prettify-separator="," data-prettify-enabled="true" data-keyboard="true" data-data-type="number">
</div>
<span class="help-block">Higher rate shifts left and narrows.</span>
</div>
</div>
<div class="cell-output-display">
<div class="shiny-panel-conditional" data-display-if="input.dist == 'Beta'" data-ns-prefix="">
<div id="beta_mode" class="form-group shiny-input-radiogroup shiny-input-container shiny-input-container-inline" role="radiogroup" aria-labelledby="beta_mode-label">
<label class="control-label" id="beta_mode-label" for="beta_mode">Parameterization:</label>
<div class="shiny-options-group">
<label class="radio-inline">
<input type="radio" name="beta_mode" value="muphi" checked="checked">
<span>Mean μ & Precision φ</span>
</label>
<label class="radio-inline">
<input type="radio" name="beta_mode" value="ab">
<span>Alpha & Beta</span>
</label>
</div>
</div>
<div class="shiny-panel-conditional" data-display-if="input.beta_mode == 'muphi'" data-ns-prefix="">
<div class="form-group shiny-input-container no-baseline">
<label class="control-label" id="b_mu-label" for="b_mu">Mean (μ in (0,1))</label>
<input class="js-range-slider" id="b_mu" data-skin="shiny" data-min="0.01" data-max="0.99" data-from="0.3" data-step="0.01" data-grid="true" data-grid-num="9.8" data-grid-snap="false" data-prettify-separator="," data-prettify-enabled="true" data-keyboard="true" data-data-type="number">
</div>
<span class="help-block">Shifts the peak between 0 and 1.</span>
<div class="form-group shiny-input-container no-baseline">
<label class="control-label" id="b_phi-label" for="b_phi">Precision (φ > 0)</label>
<input class="js-range-slider" id="b_phi" data-skin="shiny" data-min="1" data-max="100" data-from="20" data-step="1" data-grid="true" data-grid-num="9.9" data-grid-snap="false" data-prettify-separator="," data-prettify-enabled="true" data-keyboard="true" data-data-type="number">
</div>
<span class="help-block">Higher φ = more concentrated around μ.</span>
</div>
<div class="shiny-panel-conditional" data-display-if="input.beta_mode == 'ab'" data-ns-prefix="">
<div class="form-group shiny-input-container no-baseline">
<label class="control-label" id="b_alpha-label" for="b_alpha">Alpha (α > 0)</label>
<input class="js-range-slider" id="b_alpha" data-skin="shiny" data-min="0.1" data-max="20" data-from="3" data-step="0.1" data-grid="true" data-grid-num="9.95" data-grid-snap="false" data-prettify-separator="," data-prettify-enabled="true" data-keyboard="true" data-data-type="number">
</div>
<span class="help-block">Higher α shifts toward 1.</span>
<div class="form-group shiny-input-container no-baseline">
<label class="control-label" id="b_beta-label" for="b_beta">Beta (β > 0)</label>
<input class="js-range-slider" id="b_beta" data-skin="shiny" data-min="0.1" data-max="20" data-from="7" data-step="0.1" data-grid="true" data-grid-num="9.95" data-grid-snap="false" data-prettify-separator="," data-prettify-enabled="true" data-keyboard="true" data-data-type="number">
</div>
<span class="help-block">Higher β shifts toward 0.</span>
</div>
</div>
</div>
</div></aside>
<button class="collapse-toggle" type="button" title="Toggle sidebar" aria-expanded="true" aria-controls="bslib-sidebar-1">
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</svg>
</button>
<script data-bslib-sidebar-init="">
bslib.Sidebar.initCollapsibleAll()
</script>
</div>
<div class="html-fill-item html-fill-container bslib-grid" style="display: grid; grid-template-columns: minmax(3em, 15fr) minmax(3em, 15fr) minmax(3em, 70fr);
grid-auto-rows: minmax(0, 1fr);">
<div class="html-fill-item html-fill-container bslib-grid" style="display: grid; grid-template-rows: minmax(3em, 1fr); grid-auto-columns: minmax(0, 1fr);">
<div class="card cell html-fill-item html-fill-container bslib-card" data-bslib-card-init="" data-require-bs-caller="card()" data-full-screen="false">
<div class="card-body html-fill-item html-fill-container">
<div class="cell-output-display html-fill-item html-fill-container no-overflow-x">
<div id="vb_moments" class="shiny-html-output html-fill-item html-fill-container"></div>
</div>
</div>
<bslib-tooltip placement="auto" bsoptions="[]" data-require-bs-version="5" data-require-bs-caller="tooltip()">
<template>Expand</template>
<span class="bslib-full-screen-enter badge rounded-pill">
<svg xmlns="http://www.w3.org/2000/svg" viewbox="0 0 24 24" style="height:1em;width:1em;" aria-hidden="true" role="img"><path d="M20 5C20 4.4 19.6 4 19 4H13C12.4 4 12 3.6 12 3C12 2.4 12.4 2 13 2H21C21.6 2 22 2.4 22 3V11C22 11.6 21.6 12 21 12C20.4 12 20 11.6 20 11V5ZM4 19C4 19.6 4.4 20 5 20H11C11.6 20 12 20.4 12 21C12 21.6 11.6 22 11 22H3C2.4 22 2 21.6 2 21V13C2 12.4 2.4 12 3 12C3.6 12 4 12.4 4 13V19Z"></path></svg>
</span>
</bslib-tooltip><script data-bslib-card-init="">bslib.Card.initializeAllCards();</script></div>
</div><div class="html-fill-item html-fill-container bslib-grid" style="display: grid; grid-template-rows: minmax(3em, 1fr); grid-auto-columns: minmax(0, 1fr);">
<div class="card cell html-fill-item html-fill-container bslib-card" data-bslib-card-init="" data-require-bs-caller="card()" data-full-screen="false">
<div class="card-body html-fill-item html-fill-container">
<div class="cell-output-display html-fill-item html-fill-container no-overflow-x">
<div id="vb_quantiles" class="shiny-html-output html-fill-item html-fill-container"></div>
</div>
</div>
<bslib-tooltip placement="auto" bsoptions="[]" data-require-bs-version="5" data-require-bs-caller="tooltip()">
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</span>
</bslib-tooltip><script data-bslib-card-init="">bslib.Card.initializeAllCards();</script></div>
</div><div class="html-fill-item html-fill-container bslib-grid" style="display: grid; grid-template-rows: minmax(3em, 1fr); grid-auto-columns: minmax(0, 1fr);">
<div class="card cell html-fill-item html-fill-container bslib-card" data-bslib-card-init="" data-require-bs-caller="card()" data-full-screen="false">
<div class="card-body html-fill-item html-fill-container">
<div class="cell-output-display html-fill-item html-fill-container no-overflow-x">
<div id="model_info" class="shiny-html-output html-fill-item html-fill-container"></div>
</div>
</div>
<bslib-tooltip placement="auto" bsoptions="[]" data-require-bs-version="5" data-require-bs-caller="tooltip()">
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</span>
</bslib-tooltip><script data-bslib-card-init="">bslib.Card.initializeAllCards();</script></div>
</div>
</div>
</div>
</div>
<div id="check-your-data" class="dashboard-page tab-pane grid-skip html-fill-item html-fill-container" data-orientation="rows" aria-labelledby="tab-check-your-data">
<div class="html-fill-item html-fill-container bslib-grid dashboard-sidebar-container" style="display: grid; grid-template-rows: minmax(3em, 70fr) minmax(3em, 30fr); grid-auto-columns: minmax(0, 1fr);">
<div class="bslib-sidebar-layout html-fill-item html-fill-container" data-bslib-sidebar-open="desktop" data-bslib-sidebar-init="true" style=" --bslib-sidebar-width: 30%"><div class="main html-fill-container html-fill-item"><div class="sidebar-content html-fill-item html-fill-container">
<div class="html-fill-item html-fill-container bslib-grid" style="display: grid; grid-template-columns: minmax(3em, 70fr);
grid-auto-rows: minmax(0, 1fr);">
<div class="html-fill-item html-fill-container bslib-grid" style="display: grid; grid-template-rows: minmax(3em, 1fr); grid-auto-columns: minmax(0, 1fr);">
<div class="card cell html-fill-item html-fill-container bslib-card" data-bslib-card-init="" data-require-bs-caller="card()" data-full-screen="false">
<div class="card-body html-fill-item html-fill-container">
<div class="cell-output-display html-fill-item html-fill-container">
<div class="shiny-plot-output html-fill-item html-fill-container" id="csv_plot" style="width:100%;height:400px;"></div>
</div>
</div>
<bslib-tooltip placement="auto" bsoptions="[]" data-require-bs-version="5" data-require-bs-caller="tooltip()">
<template>Expand</template>
<span class="bslib-full-screen-enter badge rounded-pill">
<svg xmlns="http://www.w3.org/2000/svg" viewbox="0 0 24 24" style="height:1em;width:1em;" aria-hidden="true" role="img"><path d="M20 5C20 4.4 19.6 4 19 4H13C12.4 4 12 3.6 12 3C12 2.4 12.4 2 13 2H21C21.6 2 22 2.4 22 3V11C22 11.6 21.6 12 21 12C20.4 12 20 11.6 20 11V5ZM4 19C4 19.6 4.4 20 5 20H11C11.6 20 12 20.4 12 21C12 21.6 11.6 22 11 22H3C2.4 22 2 21.6 2 21V13C2 12.4 2.4 12 3 12C3.6 12 4 12.4 4 13V19Z"></path></svg>
</span>
</bslib-tooltip><script data-bslib-card-init="">bslib.Card.initializeAllCards();</script></div>
</div>
</div>
</div></div><aside id="bslib-sidebar-2" class="sidebar html-fill-container html-fill-item"><div class="html-fill-item html-fill-container">
<div class="cell-output-display">
<div class="form-group shiny-input-container">
<label class="control-label" id="csv_file-label" for="csv_file">Choose CSV File:</label>
<div class="input-group">
<label class="input-group-btn input-group-prepend">
<span class="btn btn-default btn-file">
Browse...
<input id="csv_file" class="shiny-input-file" name="csv_file" type="file" style="position: absolute !important; top: -99999px !important; left: -99999px !important;" accept=".csv">
</span>
</label>
<input type="text" class="form-control" placeholder="No file selected" readonly="readonly">
</div>
<div id="csv_file_progress" class="progress active shiny-file-input-progress">
<div class="progress-bar"></div>
</div>
</div>
</div>
<div class="cell-output-display no-overflow-x">
<div class="form-group shiny-input-container">
<label class="control-label" id="csv_column-label" for="csv_column">Select Column:</label>
<div>
<select id="csv_column" class="shiny-input-select"></select>
<script type="application/json" data-for="csv_column" data-nonempty="">{"plugins":["selectize-plugin-a11y"]}</script>
</div>
</div>
</div>
<div class="cell-output-display">
<div id="data_info" class="shiny-text-output"></div>
</div>
</div></aside>
<button class="collapse-toggle" type="button" title="Toggle sidebar" aria-expanded="true" aria-controls="bslib-sidebar-2">
<svg xmlns="http://www.w3.org/2000/svg" viewbox="0 0 16 16" class="bi bi-chevron-left collapse-icon" style="fill:currentColor;" aria-hidden="true" role="img">
<path fill-rule="evenodd" d="M11.354 1.646a.5.5 0 0 1 0 .708L5.707 8l5.647 5.646a.5.5 0 0 1-.708.708l-6-6a.5.5 0 0 1 0-.708l6-6a.5.5 0 0 1 .708 0z"></path>
</svg>
</button>
<script data-bslib-sidebar-init="">
bslib.Sidebar.initCollapsibleAll()
</script>
</div>
<div class="html-fill-item html-fill-container bslib-grid" style="display: grid; grid-template-columns: minmax(3em, 50fr) minmax(3em, 50fr);
grid-auto-rows: minmax(0, 1fr);">
<div class="html-fill-item html-fill-container bslib-grid" style="display: grid; grid-template-rows: minmax(3em, 1fr); grid-auto-columns: minmax(0, 1fr);">
<div class="card cell html-fill-item html-fill-container bslib-card" data-bslib-card-init="" data-require-bs-caller="card()" data-full-screen="false">
<div class="card-body html-fill-item html-fill-container">
<div class="cell-output-display html-fill-item html-fill-container no-overflow-x">
<div id="csv_stats" class="shiny-html-output html-fill-item html-fill-container"></div>
</div>
</div>
<bslib-tooltip placement="auto" bsoptions="[]" data-require-bs-version="5" data-require-bs-caller="tooltip()">
<template>Expand</template>
<span class="bslib-full-screen-enter badge rounded-pill">
<svg xmlns="http://www.w3.org/2000/svg" viewbox="0 0 24 24" style="height:1em;width:1em;" aria-hidden="true" role="img"><path d="M20 5C20 4.4 19.6 4 19 4H13C12.4 4 12 3.6 12 3C12 2.4 12.4 2 13 2H21C21.6 2 22 2.4 22 3V11C22 11.6 21.6 12 21 12C20.4 12 20 11.6 20 11V5ZM4 19C4 19.6 4.4 20 5 20H11C11.6 20 12 20.4 12 21C12 21.6 11.6 22 11 22H3C2.4 22 2 21.6 2 21V13C2 12.4 2.4 12 3 12C3.6 12 4 12.4 4 13V19Z"></path></svg>
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</div><div class="html-fill-item html-fill-container bslib-grid" style="display: grid; grid-template-rows: minmax(3em, 1fr); grid-auto-columns: minmax(0, 1fr);">
<div class="card cell html-fill-item html-fill-container bslib-card" data-bslib-card-init="" data-require-bs-caller="card()" data-full-screen="false">
<div class="card-body html-fill-item html-fill-container">
<div class="cell-output-display html-fill-item html-fill-container">
<div class="datatables html-widget html-widget-output shiny-report-size html-fill-item html-fill-container" id="csv_table" style="width:100%;height:auto;"></div>
</div>
</div>
<bslib-tooltip placement="auto" bsoptions="[]" data-require-bs-version="5" data-require-bs-caller="tooltip()">
<template>Expand</template>
<span class="bslib-full-screen-enter badge rounded-pill">
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</div>
</div>
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</div>
</div>
</div>
<p>
<script type="application/shiny-prerendered" data-context="server-start">
library(shiny)
library(ggplot2)
library(bslib)
library(DT)
library(readr)
</script>
<script type="application/shiny-prerendered" data-context="server">
# Custom function to replace brms::rstudent_t
rstudent_t_custom <- function(n, df, mu = 0, sigma = 1) {
mu + sigma * rt(n, df)
}
# ---- Reactive sampler ----
samples <- reactive({
n_req <- 3000L
if (input$dist == "Student's t") {
rstudent_t_custom(n_req, df = input$t_df, mu = input$t_mu, sigma = input$t_sigma)
} else if (input$dist == "Normal") {
rnorm(n_req, mean = input$n_mu, sd = input$n_sigma)
} else if (input$dist == "Gamma") {
rgamma(n_req, shape = input$g_shape, rate = input$g_rate)
} else if (input$dist == "Beta") {
if (input$beta_mode == "ab") {
alpha <- input$b_alpha
beta <- input$b_beta
} else {
mu <- input$b_mu
phi <- input$b_phi
alpha <- mu * phi
beta <- (1 - mu) * phi
}
rbeta(n_req, shape1 = alpha, shape2 = beta)
} else {
validate(need(FALSE, "Unknown distribution."))
}
})
# ---- Plot ----
output$dist_plot <- renderPlot({
s <- samples()
df <- data.frame(x = s)
ggplot(df, aes(x)) +
geom_histogram(aes(y = after_stat(density)), bins = 50, alpha = 0.7, fill = "steelblue") +
geom_density(linewidth = 1.2, color = "darkred") +
geom_segment(inherit.aes = F, aes(x = 0, xend = 0, y = -Inf, yend = +Inf), color = "black") +
geom_segment(inherit.aes = F ,aes(x = -Inf, xend = +Inf, y = 0, yend = 0), color = "black") +
labs(title = paste("Sampled", input$dist, "Distribution"),
x = "Value", y = "Density") +
theme_minimal(base_size = 20)
})
# ---- Summary stats (computed once) ----
stats <- reactive({
s <- samples()
n <- length(s)
q <- quantile(s, c(0.25, 0.75), names = FALSE)
list(
mean = mean(s),
median = median(s),
sd = sd(s),
se = sd(s) / sqrt(n),
min = min(s),
q1 = q[1],
q3 = q[2],
max = max(s)
)
})
# ---- Value box 1: Mean / Median / SD / SE ----
output$vb_moments <- renderUI({
st <- stats()
card(
class = "shadow-sm",
card_header("Center & Spread", style = "font-size:0.9rem; padding:0.3rem;"),
card_body(style = "padding:0.5rem;",
tags$div(style = "font-size:0.8rem; line-height:1.2;",
sprintf("Mean: %.3f | Median: %.3f", st$mean, st$median)),
tags$div(style = "font-size:0.8rem; line-height:1.2; margin-top:0.2rem;",
sprintf("SD: %.3f | SE: %.3f", st$sd, st$se))
)
)
})
# ---- Value box 2: Min / Max / Q1 / Q3 ----
output$vb_quantiles <- renderUI({
st <- stats()
card(
class = "shadow-sm",
card_header("Range & Quartiles", style = "font-size:0.9rem; padding:0.3rem;"),
card_body(style = "padding:0.5rem;",
tags$div(style = "font-size:0.8rem; line-height:1.2;",
sprintf("Min: %.3f | Max: %.3f", st$min, st$max)),
tags$div(style = "font-size:0.8rem; line-height:1.2; margin-top:0.2rem;",
sprintf("Q1: %.3f | Q3: %.3f", st$q1, st$q3))
)
)
})
# ---- Model info cards ----
output$model_info <- renderUI({
if (input$dist == "Student's t") {
tagList(
h4("Model: Student's t"),
p("Heavy-tailed, robust alternative to Normal."),
tags$ul(
tags$li("Params: ν (df), μ (location), σ (scale)"),
tags$li("As ν → ∞, approaches Normal."),
tags$li("Use when outliers are expected.")))
} else if (input$dist == "Normal") {
tagList(
h4("Model: Normal (Gaussian)"),
p("Symmetric, light-tailed; mean & SD."),
tags$ul(
tags$li("Params: μ, σ"),
tags$li("CLT often justifies Normality.")))
} else if (input$dist == "Gamma") {
tagList(
h4("Model: Gamma"),
p("Positive, right-skewed (e.g., waiting times)."),
tags$ul(
tags$li("Params: α (shape), β (rate); mean = α/β"),
tags$li("Support: x > 0")))
} else if (input$dist == "Beta") {
tagList(
h4("Model: Beta"),
p("Proportions on (0,1)."),
tags$ul(
tags$li("Params: α, β or (μ, φ)"),
tags$li("Flexible shapes (U, unimodal, etc.)")))
}
})
# ---- CSV Data Handling ----
# Reactive to read CSV file
csv_data <- reactive({
req(input$csv_file)
tryCatch({
df <- read_csv(input$csv_file$datapath)
return(df)
}, error = function(e) {
return(NULL)
})
})
# Update column choices when new file is loaded
observe({
df <- csv_data()
if (!is.null(df)) {
# Get only numeric columns
numeric_cols <- names(df)[sapply(df, is.numeric)]
if (length(numeric_cols) > 0) {
updateSelectInput(session, "csv_column",
choices = numeric_cols,
selected = numeric_cols[1])
} else {
updateSelectInput(session, "csv_column",
choices = "No numeric columns found",
selected = NULL)
}
} else {
updateSelectInput(session, "csv_column",
choices = NULL,
selected = NULL)
}
})
# Data info output
output$data_info <- renderText({
df <- csv_data()
if (!is.null(df)) {
paste0("Rows: ", nrow(df), " | Cols: ", ncol(df))
} else if (!is.null(input$csv_file)) {
"Error loading file"
} else {
"No file uploaded"
}
})
# CSV density plot
output$csv_plot <- renderPlot({
req(input$csv_file, input$csv_column)
df <- csv_data()
if (!is.null(df) && input$csv_column %in% names(df)) {
column_data <- df[[input$csv_column]]
# Remove NA values
column_data <- column_data[!is.na(column_data)]
if (length(column_data) > 0) {
plot_df <- data.frame(x = column_data)
ggplot(plot_df, aes(x)) +
geom_histogram(aes(y = after_stat(density)),
bins = min(50, max(10, length(column_data)/20)),
alpha = 0.7, fill = "steelblue") +
geom_density(linewidth = 1.2, color = "darkred") +
labs(title = paste("Density of", input$csv_column),
subtitle = paste("n =", length(column_data), "observations"),
x = input$csv_column,
y = "Density") +
theme_minimal(base_size = 18)
} else {
# Empty plot with message
ggplot() +
annotate("text", x = 0.5, y = 0.5,
label = "No valid data in selected column",
size = 6) +
theme_void()
}
} else {
# Default empty plot
ggplot() +
annotate("text", x = 0.5, y = 0.5,
label = "Upload a CSV file and select a column",
size = 6) +
theme_void()
}
})
# CSV Summary Statistics
output$csv_stats <- renderUI({
req(input$csv_file, input$csv_column)
df <- csv_data()
if (!is.null(df) && input$csv_column %in% names(df)) {
column_data <- df[[input$csv_column]]
column_data <- column_data[!is.na(column_data)]
if (length(column_data) > 0) {
card(
class = "shadow-sm",
card_header(paste("Summary:", input$csv_column)),
card_body(
tags$div(style = "font-size:1.15rem; font-weight:600;",
sprintf("Mean: %.4f", mean(column_data))),
tags$div(style = "margin-top:0.15rem;",
sprintf("Median: %.4f", median(column_data))),
tags$hr(),
tags$div(sprintf("SD: %.4f", sd(column_data))),
tags$div(sprintf("Min: %.4f | Max: %.4f", min(column_data), max(column_data)))
)
)
} else {
card(
card_header("Summary"),
card_body("No valid numeric data")
)
}
} else {
card(
card_header("Summary"),
card_body("Select a column to view statistics")
)
}
})
# CSV Data Table
output$csv_table <- DT::renderDataTable({
df <- csv_data()
if (!is.null(df)) {
DT::datatable(df,
options = list(
pageLength = 10,
scrollX = TRUE,
dom = 'tip'
),
class = 'cell-border stripe')
} else {
NULL
}
})
</script>
<script type="application/shiny-prerendered" data-context="server-extras">
ojs_define <- function(..., .session = shiny::getDefaultReactiveDomain()) {
quos <- rlang::enquos(...)
vars <- rlang::list2(...)
nm <- names(vars)
if (is.null(nm)) {
nm <- rep_len("", length(vars))
}
mapply(function(q, nm, val) {
# Infer name, if possible
if (nm == "") {
tryCatch({
nm <- rlang::as_name(q)
}, error = function(e) {
code <- paste(collapse = "\n", deparse(rlang::f_rhs(q)))
stop("ojs_define() could not create a name for the argument: ", code)
})
}
.session$output[[nm]] <- val
outputOptions(.session$output, nm, suspendWhenHidden = FALSE)
.session$sendCustomMessage("ojs-export", list(name = nm))
NULL
}, quos, nm, vars, SIMPLIFY = FALSE, USE.NAMES = FALSE)
invisible()
}
</script>
</p>
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anchorLink.remove();
}
if (window.Quarto?.typesetMath) {
window.Quarto.typesetMath(note);
}
// TODO in 1.5, we should make sure this works without a callout special case
if (note.classList.contains("callout")) {
return note.outerHTML;
} else {
return note.innerHTML;
}
}
}
for (var i=0; i<xrefs.length; i++) {
const xref = xrefs[i];
tippyHover(xref, undefined, function(instance) {
instance.disable();
let url = xref.getAttribute('href');
let hash = undefined;
if (url.startsWith('#')) {
hash = url;
} else {
try { hash = new URL(url).hash; } catch {}
}
if (hash) {
const id = hash.replace(/^#\/?/, "");
const note = window.document.getElementById(id);
if (note !== null) {
try {
const html = processXRef(id, note.cloneNode(true));
instance.setContent(html);
} finally {
instance.enable();
instance.show();
}
} else {
// See if we can fetch this
fetch(url.split('#')[0])
.then(res => res.text())
.then(html => {
const parser = new DOMParser();
const htmlDoc = parser.parseFromString(html, "text/html");
const note = htmlDoc.getElementById(id);
if (note !== null) {
const html = processXRef(id, note);
instance.setContent(html);
}
}).finally(() => {
instance.enable();
instance.show();
});
}
} else {
// See if we can fetch a full url (with no hash to target)
// This is a special case and we should probably do some content thinning / targeting
fetch(url)
.then(res => res.text())
.then(html => {
const parser = new DOMParser();
const htmlDoc = parser.parseFromString(html, "text/html");
const note = htmlDoc.querySelector('main.content');
if (note !== null) {
// This should only happen for chapter cross references
// (since there is no id in the URL)
// remove the first header
if (note.children.length > 0 && note.children[0].tagName === "HEADER") {
note.children[0].remove();
}
const html = processXRef(null, note);
instance.setContent(html);
}
}).finally(() => {
instance.enable();
instance.show();
});
}
}, function(instance) {
});
}
let selectedAnnoteEl;
const selectorForAnnotation = ( cell, annotation) => {
let cellAttr = 'data-code-cell="' + cell + '"';
let lineAttr = 'data-code-annotation="' + annotation + '"';
const selector = 'span[' + cellAttr + '][' + lineAttr + ']';
return selector;
}
const selectCodeLines = (annoteEl) => {
const doc = window.document;
const targetCell = annoteEl.getAttribute("data-target-cell");
const targetAnnotation = annoteEl.getAttribute("data-target-annotation");
const annoteSpan = window.document.querySelector(selectorForAnnotation(targetCell, targetAnnotation));
const lines = annoteSpan.getAttribute("data-code-lines").split(",");
const lineIds = lines.map((line) => {
return targetCell + "-" + line;
})
let top = null;
let height = null;
let parent = null;
if (lineIds.length > 0) {
//compute the position of the single el (top and bottom and make a div)
const el = window.document.getElementById(lineIds[0]);
top = el.offsetTop;
height = el.offsetHeight;
parent = el.parentElement.parentElement;
if (lineIds.length > 1) {
const lastEl = window.document.getElementById(lineIds[lineIds.length - 1]);
const bottom = lastEl.offsetTop + lastEl.offsetHeight;
height = bottom - top;
}
if (top !== null && height !== null && parent !== null) {
// cook up a div (if necessary) and position it
let div = window.document.getElementById("code-annotation-line-highlight");
if (div === null) {
div = window.document.createElement("div");
div.setAttribute("id", "code-annotation-line-highlight");
div.style.position = 'absolute';
parent.appendChild(div);
}
div.style.top = top - 2 + "px";
div.style.height = height + 4 + "px";
div.style.left = 0;
let gutterDiv = window.document.getElementById("code-annotation-line-highlight-gutter");
if (gutterDiv === null) {
gutterDiv = window.document.createElement("div");
gutterDiv.setAttribute("id", "code-annotation-line-highlight-gutter");
gutterDiv.style.position = 'absolute';
const codeCell = window.document.getElementById(targetCell);
const gutter = codeCell.querySelector('.code-annotation-gutter');
gutter.appendChild(gutterDiv);
}
gutterDiv.style.top = top - 2 + "px";
gutterDiv.style.height = height + 4 + "px";
}
selectedAnnoteEl = annoteEl;
}
};
const unselectCodeLines = () => {
const elementsIds = ["code-annotation-line-highlight", "code-annotation-line-highlight-gutter"];