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+    "markdown": "---\ntitle: \"How to Perform Multiple Linear Regression in R\"\nauthor: \"Steven P. Sanderson II, MPH\"\ndate: \"2023-11-15\"\ncategories: [rtip]\n---\n\n\n# Introduction\n\nMultiple linear regression is a powerful statistical method that allows us to examine the relationship between a dependent variable and multiple independent variables.\n\n# Example\n\n## Step 1: Load the dataset\n\n```R\n# Load the mtcars dataset\ndata(mtcars)\n```\n\n## Step 2: Build the model\n\nNow, let's create the multiple linear regression model using the specified variables: disp, hp, and drat.\n\n\n::: {.cell}\n\n```{.r .cell-code}\n# Build the multiple linear regression model\nmodel <- lm(mpg ~ disp + hp + drat, data = mtcars)\n```\n:::\n\n\n## Step 3: Examine the data\n\nIt's always a good idea to take a look at the relationships between variables before diving into the model. The `pairs()` function helps us with that.\n\n\n::: {.cell}\n\n```{.r .cell-code}\n# Examine relationships between variables\npairs(mtcars[,c(\"mpg\",\"disp\",\"hp\",\"drat\")])\n```\n\n::: {.cell-output-display}\n![](index_files/figure-html/unnamed-chunk-2-1.png){width=672}\n:::\n:::\n\n\n## Step 4: Check for multicollinearity\n\nMulticollinearity is when independent variables in a regression model are highly correlated. It can affect the stability and reliability of our model. Keep an eye on the scatterplots in the pairs plot to get a sense of this.\n\n## Step 5: Plot the residuals\n\nNow, let's check the model's residuals using a scatterplot. Residuals are the differences between observed and predicted values. They should ideally show no pattern.\n\n\n::: {.cell}\n\n```{.r .cell-code}\n# Plot the residuals\nplot(\n  model$residuals, \n  main = \"Residuals vs Fitted Values\", \n  xlab = \"Fitted Values\", \n  ylab = \"Residuals\"\n  )\n```\n\n::: {.cell-output-display}\n![](index_files/figure-html/unnamed-chunk-3-1.png){width=672}\n:::\n:::\n\n\n## Step 6: Evaluate the model\n\nBy examining the residuals vs. fitted values plot, we can identify patterns that may suggest non-linearity or heteroscedasticity. Ideally, residuals should be randomly scattered.\n\n## Step 7: Encourage readers to try it themselves\n\nI'd encourage readers to take the code snippets, run them in their R environment, and explore. Maybe try different variables, tweak the model, or even use another dataset. Hands-on experience is the best teacher!\n\nRemember, understanding the data and interpreting the results is as important as running the code. It's a fascinating journey into uncovering patterns and relationships within your data.\n\nFeel free to reach out if you have any questions or if there's anything specific you'd like to explore further. Happy coding!",
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@@ -209,7 +209,42 @@ <h5 class="quarto-listing-category-title">Categories</h5><div class="quarto-list
 
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+<div class="quarto-post image-right" data-index="0" data-categories="rtip" data-listing-date-sort="1700024400000" data-listing-file-modified-sort="1700055575907" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="2">
+<div class="thumbnail">
+<p><a href="./posts/2023-11-15/index.html"> <p class="card-img-top"><img src="posts\2023-11-15\index_files\figure-html\unnamed-chunk-2-1.png"  class="thumbnail-image card-img"/></p> </a></p>
+</div>
+<div class="body">
+<a href="./posts/2023-11-15/index.html">
+<h3 class="no-anchor listing-title">
+How to Perform Multiple Linear Regression in R
+</h3>
+<div class="listing-subtitle">
+
+</div>
+</a>
+<div class="listing-categories">
+<div class="listing-category" onclick="window.quartoListingCategory('rtip'); return false;">
+rtip
+</div>
+</div>
+<a href="./posts/2023-11-15/index.html">
+<div class="listing-description">
+Multiple linear regression is a powerful statistical method that allows us to examine the relationship between a dependent variable and multiple independent variables.
+</div>
+</a>
+</div>
+<div class="metadata">
+<a href="./posts/2023-11-15/index.html">
+<div class="listing-date">
+Nov 15, 2023
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+Steven P. Sanderson II, MPH
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+<div class="quarto-post image-right" data-index="1" data-categories="rtip" data-listing-date-sort="1699938000000" data-listing-file-modified-sort="1699966348087" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="3">
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@@ -244,7 +279,7 @@ <h3 class="no-anchor listing-title">
 </a>
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+<div class="quarto-post image-right" data-index="224" data-categories="code,tidydensity,bootstrap,weeklytip" data-listing-date-sort="1667534400000" data-listing-file-modified-sort="1680006184686" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="5">
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+<div class="quarto-post image-right" data-index="226" data-categories="code,rtip,healthyrai,weeklytip" data-listing-date-sort="1666929600000" data-listing-file-modified-sort="1680006184602" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="3">
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+<div class="quarto-post image-right" data-index="227" data-categories="code,rtip,healthyrai" data-listing-date-sort="1666756800000" data-listing-file-modified-sort="1680006183941" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="3">
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+<div class="quarto-post image-right" data-index="229" data-categories="code,weeklytip,healthyrts" data-listing-date-sort="1666324800000" data-listing-file-modified-sort="1680006183931" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="3">
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+<div class="quarto-post image-right" data-index="230" data-categories="code,weeklytip,healthyrai" data-listing-date-sort="1665633600000" data-listing-file-modified-sort="1680006183928" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="4">
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+<div class="quarto-post image-right" data-index="233" data-categories="news" data-listing-date-sort="1664942400000" data-listing-file-modified-sort="1680006184691" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="1">
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diff --git a/docs/index.xml b/docs/index.xml
index 2507f64b..49273afe 100644
--- a/docs/index.xml
+++ b/docs/index.xml
@@ -10,7 +10,135 @@
 <atom:link href="https://www.spsanderson.com/steveondata/index.xml" rel="self" type="application/rss+xml"/>
 <description></description>
 <generator>quarto-1.3.433</generator>
-<lastBuildDate>Tue, 14 Nov 2023 05:00:00 GMT</lastBuildDate>
+<lastBuildDate>Wed, 15 Nov 2023 05:00:00 GMT</lastBuildDate>
+<item>
+  <title>How to Perform Multiple Linear Regression in R</title>
+  <dc:creator>Steven P. Sanderson II, MPH</dc:creator>
+  <link>https://www.spsanderson.com/steveondata/posts/2023-11-15/index.html</link>
+  <description><![CDATA[ 
+
+
+
+
+<section id="introduction" class="level1">
+<h1>Introduction</h1>
+<p>Multiple linear regression is a powerful statistical method that allows us to examine the relationship between a dependent variable and multiple independent variables.</p>
+</section>
+<section id="example" class="level1">
+<h1>Example</h1>
+<section id="step-1-load-the-dataset" class="level2">
+<h2 class="anchored" data-anchor-id="step-1-load-the-dataset">Step 1: Load the dataset</h2>
+<div class="sourceCode" id="cb1" style="background: #f1f3f5;"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb1-1"><span class="co" style="color: #5E5E5E;
+background-color: null;
+font-style: inherit;"># Load the mtcars dataset</span></span>
+<span id="cb1-2"><span class="fu" style="color: #4758AB;
+background-color: null;
+font-style: inherit;">data</span>(mtcars)</span></code></pre></div>
+</section>
+<section id="step-2-build-the-model" class="level2">
+<h2 class="anchored" data-anchor-id="step-2-build-the-model">Step 2: Build the model</h2>
+<p>Now, let’s create the multiple linear regression model using the specified variables: disp, hp, and drat.</p>
+<div class="cell">
+<div class="sourceCode cell-code" id="cb2" style="background: #f1f3f5;"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb2-1"><span class="co" style="color: #5E5E5E;
+background-color: null;
+font-style: inherit;"># Build the multiple linear regression model</span></span>
+<span id="cb2-2">model <span class="ot" style="color: #003B4F;
+background-color: null;
+font-style: inherit;">&lt;-</span> <span class="fu" style="color: #4758AB;
+background-color: null;
+font-style: inherit;">lm</span>(mpg <span class="sc" style="color: #5E5E5E;
+background-color: null;
+font-style: inherit;">~</span> disp <span class="sc" style="color: #5E5E5E;
+background-color: null;
+font-style: inherit;">+</span> hp <span class="sc" style="color: #5E5E5E;
+background-color: null;
+font-style: inherit;">+</span> drat, <span class="at" style="color: #657422;
+background-color: null;
+font-style: inherit;">data =</span> mtcars)</span></code></pre></div>
+</div>
+</section>
+<section id="step-3-examine-the-data" class="level2">
+<h2 class="anchored" data-anchor-id="step-3-examine-the-data">Step 3: Examine the data</h2>
+<p>It’s always a good idea to take a look at the relationships between variables before diving into the model. The <code>pairs()</code> function helps us with that.</p>
+<div class="cell">
+<div class="sourceCode cell-code" id="cb3" style="background: #f1f3f5;"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb3-1"><span class="co" style="color: #5E5E5E;
+background-color: null;
+font-style: inherit;"># Examine relationships between variables</span></span>
+<span id="cb3-2"><span class="fu" style="color: #4758AB;
+background-color: null;
+font-style: inherit;">pairs</span>(mtcars[,<span class="fu" style="color: #4758AB;
+background-color: null;
+font-style: inherit;">c</span>(<span class="st" style="color: #20794D;
+background-color: null;
+font-style: inherit;">"mpg"</span>,<span class="st" style="color: #20794D;
+background-color: null;
+font-style: inherit;">"disp"</span>,<span class="st" style="color: #20794D;
+background-color: null;
+font-style: inherit;">"hp"</span>,<span class="st" style="color: #20794D;
+background-color: null;
+font-style: inherit;">"drat"</span>)])</span></code></pre></div>
+<div class="cell-output-display">
+<p><img src="https://www.spsanderson.com/steveondata/posts/2023-11-15/index_files/figure-html/unnamed-chunk-2-1.png" class="img-fluid" width="672"></p>
+</div>
+</div>
+</section>
+<section id="step-4-check-for-multicollinearity" class="level2">
+<h2 class="anchored" data-anchor-id="step-4-check-for-multicollinearity">Step 4: Check for multicollinearity</h2>
+<p>Multicollinearity is when independent variables in a regression model are highly correlated. It can affect the stability and reliability of our model. Keep an eye on the scatterplots in the pairs plot to get a sense of this.</p>
+</section>
+<section id="step-5-plot-the-residuals" class="level2">
+<h2 class="anchored" data-anchor-id="step-5-plot-the-residuals">Step 5: Plot the residuals</h2>
+<p>Now, let’s check the model’s residuals using a scatterplot. Residuals are the differences between observed and predicted values. They should ideally show no pattern.</p>
+<div class="cell">
+<div class="sourceCode cell-code" id="cb4" style="background: #f1f3f5;"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb4-1"><span class="co" style="color: #5E5E5E;
+background-color: null;
+font-style: inherit;"># Plot the residuals</span></span>
+<span id="cb4-2"><span class="fu" style="color: #4758AB;
+background-color: null;
+font-style: inherit;">plot</span>(</span>
+<span id="cb4-3">  model<span class="sc" style="color: #5E5E5E;
+background-color: null;
+font-style: inherit;">$</span>residuals, </span>
+<span id="cb4-4">  <span class="at" style="color: #657422;
+background-color: null;
+font-style: inherit;">main =</span> <span class="st" style="color: #20794D;
+background-color: null;
+font-style: inherit;">"Residuals vs Fitted Values"</span>, </span>
+<span id="cb4-5">  <span class="at" style="color: #657422;
+background-color: null;
+font-style: inherit;">xlab =</span> <span class="st" style="color: #20794D;
+background-color: null;
+font-style: inherit;">"Fitted Values"</span>, </span>
+<span id="cb4-6">  <span class="at" style="color: #657422;
+background-color: null;
+font-style: inherit;">ylab =</span> <span class="st" style="color: #20794D;
+background-color: null;
+font-style: inherit;">"Residuals"</span></span>
+<span id="cb4-7">  )</span></code></pre></div>
+<div class="cell-output-display">
+<p><img src="https://www.spsanderson.com/steveondata/posts/2023-11-15/index_files/figure-html/unnamed-chunk-3-1.png" class="img-fluid" width="672"></p>
+</div>
+</div>
+</section>
+<section id="step-6-evaluate-the-model" class="level2">
+<h2 class="anchored" data-anchor-id="step-6-evaluate-the-model">Step 6: Evaluate the model</h2>
+<p>By examining the residuals vs.&nbsp;fitted values plot, we can identify patterns that may suggest non-linearity or heteroscedasticity. Ideally, residuals should be randomly scattered.</p>
+</section>
+<section id="step-7-encourage-readers-to-try-it-themselves" class="level2">
+<h2 class="anchored" data-anchor-id="step-7-encourage-readers-to-try-it-themselves">Step 7: Encourage readers to try it themselves</h2>
+<p>I’d encourage readers to take the code snippets, run them in their R environment, and explore. Maybe try different variables, tweak the model, or even use another dataset. Hands-on experience is the best teacher!</p>
+<p>Remember, understanding the data and interpreting the results is as important as running the code. It’s a fascinating journey into uncovering patterns and relationships within your data.</p>
+<p>Feel free to reach out if you have any questions or if there’s anything specific you’d like to explore further. Happy coding!</p>
+
+
+</section>
+</section>
+
+ ]]></description>
+  <category>rtip</category>
+  <guid>https://www.spsanderson.com/steveondata/posts/2023-11-15/index.html</guid>
+  <pubDate>Wed, 15 Nov 2023 05:00:00 GMT</pubDate>
+</item>
 <item>
   <title>How to Predict a Single Value Using a Regression Model in R</title>
   <dc:creator>Steven P. Sanderson II, MPH</dc:creator>
@@ -4007,429 +4135,5 @@ font-style: inherit;">1</span>))</span></code></pre></div>
   <guid>https://www.spsanderson.com/steveondata/posts/2023-10-16/index.html</guid>
   <pubDate>Mon, 16 Oct 2023 04:00:00 GMT</pubDate>
 </item>
-<item>
-  <title>Mastering the Art of Drawing Circles in Plots with R</title>
-  <dc:creator>Steven P. Sanderson II, MPH</dc:creator>
-  <link>https://www.spsanderson.com/steveondata/posts/2023-10-13/index.html</link>
-  <description><![CDATA[ 
-
-
-
-
-<section id="introduction" class="level1">
-<h1>Introduction</h1>
-<p>As an R programmer, you may want to draw circles in plots to highlight certain data points or to create visualizations. Here are some simple steps to draw circles in plots using R:</p>
-</section>
-<section id="examples" class="level1">
-<h1>Examples</h1>
-<ol type="1">
-<li>First, create a scatter plot using the <code>plot()</code> function in R. For example, you can create a scatter plot of <code>x</code> and <code>y</code> values using the following code:</li>
-</ol>
-<div class="cell">
-<div class="sourceCode cell-code" id="cb1" style="background: #f1f3f5;"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb1-1">x <span class="ot" style="color: #003B4F;
-background-color: null;
-font-style: inherit;">&lt;-</span> <span class="fu" style="color: #4758AB;
-background-color: null;
-font-style: inherit;">c</span>(<span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">1</span>, <span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">2</span>, <span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">3</span>, <span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">4</span>, <span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">5</span>)</span>
-<span id="cb1-2">y <span class="ot" style="color: #003B4F;
-background-color: null;
-font-style: inherit;">&lt;-</span> <span class="fu" style="color: #4758AB;
-background-color: null;
-font-style: inherit;">c</span>(<span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">2</span>, <span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">4</span>, <span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">6</span>, <span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">8</span>, <span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">10</span>)</span>
-<span id="cb1-3"><span class="fu" style="color: #4758AB;
-background-color: null;
-font-style: inherit;">plot</span>(x, y)</span></code></pre></div>
-<div class="cell-output-display">
-<p><img src="https://www.spsanderson.com/steveondata/posts/2023-10-13/index_files/figure-html/unnamed-chunk-1-1.png" class="img-fluid" width="672"></p>
-</div>
-</div>
-<ol start="2" type="1">
-<li>To draw a circle on the plot, you can use the <code>symbols()</code> function in R. The <code>symbols()</code> function allows you to draw various shapes, including circles, squares, triangles, and more. To draw a circle, set the <code>circles</code> argument to <code>TRUE</code>. For example, to draw a circle with a radius of 0.5 at the point (3, 6), use the following code:</li>
-</ol>
-<div class="cell">
-<div class="sourceCode cell-code" id="cb2" style="background: #f1f3f5;"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb2-1"><span class="fu" style="color: #4758AB;
-background-color: null;
-font-style: inherit;">plot</span>(x, y)</span>
-<span id="cb2-2"><span class="fu" style="color: #4758AB;
-background-color: null;
-font-style: inherit;">symbols</span>(<span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">3</span>, <span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">6</span>, <span class="at" style="color: #657422;
-background-color: null;
-font-style: inherit;">circles =</span> <span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">1</span>, <span class="at" style="color: #657422;
-background-color: null;
-font-style: inherit;">add =</span> <span class="cn" style="color: #8f5902;
-background-color: null;
-font-style: inherit;">TRUE</span>)</span></code></pre></div>
-<div class="cell-output-display">
-<p><img src="https://www.spsanderson.com/steveondata/posts/2023-10-13/index_files/figure-html/unnamed-chunk-2-1.png" class="img-fluid" width="672"></p>
-</div>
-</div>
-<ol start="3" type="1">
-<li>You can also customize the color and border of the circle using the <code>bg</code> and <code>fg</code> arguments. For example, to draw a red circle with a blue border, use the following code:</li>
-</ol>
-<div class="cell">
-<div class="sourceCode cell-code" id="cb3" style="background: #f1f3f5;"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb3-1"><span class="fu" style="color: #4758AB;
-background-color: null;
-font-style: inherit;">plot</span>(x, y)</span>
-<span id="cb3-2"><span class="fu" style="color: #4758AB;
-background-color: null;
-font-style: inherit;">symbols</span>(<span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">3</span>, <span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">6</span>, <span class="at" style="color: #657422;
-background-color: null;
-font-style: inherit;">circles =</span> <span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">1</span>, <span class="at" style="color: #657422;
-background-color: null;
-font-style: inherit;">add =</span> <span class="cn" style="color: #8f5902;
-background-color: null;
-font-style: inherit;">TRUE</span>, <span class="at" style="color: #657422;
-background-color: null;
-font-style: inherit;">bg =</span> <span class="st" style="color: #20794D;
-background-color: null;
-font-style: inherit;">"red"</span>, <span class="at" style="color: #657422;
-background-color: null;
-font-style: inherit;">fg =</span> <span class="st" style="color: #20794D;
-background-color: null;
-font-style: inherit;">"blue"</span>)</span></code></pre></div>
-<div class="cell-output-display">
-<p><img src="https://www.spsanderson.com/steveondata/posts/2023-10-13/index_files/figure-html/unnamed-chunk-3-1.png" class="img-fluid" width="672"></p>
-</div>
-</div>
-<ol start="4" type="1">
-<li>To draw multiple circles on the plot, you can use a loop to iterate over a list of coordinates and radii. For example, to draw three circles with different radii at different points, use the following code:</li>
-</ol>
-<div class="cell">
-<div class="sourceCode cell-code" id="cb4" style="background: #f1f3f5;"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb4-1"><span class="fu" style="color: #4758AB;
-background-color: null;
-font-style: inherit;">plot</span>(x, y)</span>
-<span id="cb4-2"></span>
-<span id="cb4-3">coords <span class="ot" style="color: #003B4F;
-background-color: null;
-font-style: inherit;">&lt;-</span> <span class="fu" style="color: #4758AB;
-background-color: null;
-font-style: inherit;">list</span>(<span class="fu" style="color: #4758AB;
-background-color: null;
-font-style: inherit;">c</span>(<span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">2</span>, <span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">4</span>), <span class="fu" style="color: #4758AB;
-background-color: null;
-font-style: inherit;">c</span>(<span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">3</span>, <span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">6</span>), <span class="fu" style="color: #4758AB;
-background-color: null;
-font-style: inherit;">c</span>(<span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">4</span>, <span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">8</span>))</span>
-<span id="cb4-4">radii <span class="ot" style="color: #003B4F;
-background-color: null;
-font-style: inherit;">&lt;-</span> <span class="fu" style="color: #4758AB;
-background-color: null;
-font-style: inherit;">c</span>(<span class="fl" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">0.1</span>, <span class="fl" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">0.2</span>, <span class="fl" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">0.3</span>)</span>
-<span id="cb4-5"></span>
-<span id="cb4-6"><span class="cf" style="color: #003B4F;
-background-color: null;
-font-style: inherit;">for</span> (i <span class="cf" style="color: #003B4F;
-background-color: null;
-font-style: inherit;">in</span> <span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">1</span><span class="sc" style="color: #5E5E5E;
-background-color: null;
-font-style: inherit;">:</span><span class="fu" style="color: #4758AB;
-background-color: null;
-font-style: inherit;">length</span>(coords)) {</span>
-<span id="cb4-7">  <span class="fu" style="color: #4758AB;
-background-color: null;
-font-style: inherit;">symbols</span>(</span>
-<span id="cb4-8">    coords[[i]][<span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">1</span>], coords[[i]][<span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">2</span>], <span class="at" style="color: #657422;
-background-color: null;
-font-style: inherit;">circles =</span> radii[[i]], </span>
-<span id="cb4-9">    <span class="at" style="color: #657422;
-background-color: null;
-font-style: inherit;">add =</span> <span class="cn" style="color: #8f5902;
-background-color: null;
-font-style: inherit;">TRUE</span>, <span class="at" style="color: #657422;
-background-color: null;
-font-style: inherit;">bg =</span> <span class="st" style="color: #20794D;
-background-color: null;
-font-style: inherit;">"red"</span>, <span class="at" style="color: #657422;
-background-color: null;
-font-style: inherit;">fg =</span> <span class="st" style="color: #20794D;
-background-color: null;
-font-style: inherit;">"blue"</span>, <span class="at" style="color: #657422;
-background-color: null;
-font-style: inherit;">inches =</span> <span class="cn" style="color: #8f5902;
-background-color: null;
-font-style: inherit;">FALSE</span></span>
-<span id="cb4-10">  )</span>
-<span id="cb4-11">}</span></code></pre></div>
-<div class="cell-output-display">
-<p><img src="https://www.spsanderson.com/steveondata/posts/2023-10-13/index_files/figure-html/unnamed-chunk-4-1.png" class="img-fluid" width="672"></p>
-</div>
-</div>
-<ol start="5" type="1">
-<li>Finally, you can add a title and axis labels to the plot using the <code>title()</code>, <code>xlab()</code>, and <code>ylab()</code> functions. For example, to add a title and axis labels to the plot, use the following code:</li>
-</ol>
-<div class="cell">
-<div class="sourceCode cell-code" id="cb5" style="background: #f1f3f5;"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb5-1">x <span class="ot" style="color: #003B4F;
-background-color: null;
-font-style: inherit;">&lt;-</span> <span class="fu" style="color: #4758AB;
-background-color: null;
-font-style: inherit;">c</span>(<span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">1</span>, <span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">2</span>, <span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">3</span>, <span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">4</span>, <span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">5</span>)</span>
-<span id="cb5-2">y <span class="ot" style="color: #003B4F;
-background-color: null;
-font-style: inherit;">&lt;-</span> <span class="fu" style="color: #4758AB;
-background-color: null;
-font-style: inherit;">c</span>(<span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">2</span>, <span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">4</span>, <span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">6</span>, <span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">8</span>, <span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">10</span>)</span>
-<span id="cb5-3"><span class="fu" style="color: #4758AB;
-background-color: null;
-font-style: inherit;">plot</span>(</span>
-<span id="cb5-4">  x, y, <span class="at" style="color: #657422;
-background-color: null;
-font-style: inherit;">main =</span> <span class="st" style="color: #20794D;
-background-color: null;
-font-style: inherit;">"Scatter Plot with Circles"</span>, </span>
-<span id="cb5-5">  <span class="at" style="color: #657422;
-background-color: null;
-font-style: inherit;">xlab =</span> <span class="st" style="color: #20794D;
-background-color: null;
-font-style: inherit;">"X Values"</span>, <span class="at" style="color: #657422;
-background-color: null;
-font-style: inherit;">ylab =</span> <span class="st" style="color: #20794D;
-background-color: null;
-font-style: inherit;">"Y Values"</span></span>
-<span id="cb5-6">)</span>
-<span id="cb5-7"></span>
-<span id="cb5-8">coords <span class="ot" style="color: #003B4F;
-background-color: null;
-font-style: inherit;">&lt;-</span> <span class="fu" style="color: #4758AB;
-background-color: null;
-font-style: inherit;">list</span>(<span class="fu" style="color: #4758AB;
-background-color: null;
-font-style: inherit;">c</span>(<span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">2</span>, <span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">4</span>), <span class="fu" style="color: #4758AB;
-background-color: null;
-font-style: inherit;">c</span>(<span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">3</span>, <span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">6</span>), <span class="fu" style="color: #4758AB;
-background-color: null;
-font-style: inherit;">c</span>(<span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">4</span>, <span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">8</span>))</span>
-<span id="cb5-9">radii <span class="ot" style="color: #003B4F;
-background-color: null;
-font-style: inherit;">&lt;-</span> <span class="fu" style="color: #4758AB;
-background-color: null;
-font-style: inherit;">c</span>(<span class="fl" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">0.1</span>, <span class="fl" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">0.2</span>, <span class="fl" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">0.3</span>)</span>
-<span id="cb5-10"></span>
-<span id="cb5-11"><span class="cf" style="color: #003B4F;
-background-color: null;
-font-style: inherit;">for</span> (i <span class="cf" style="color: #003B4F;
-background-color: null;
-font-style: inherit;">in</span> <span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">1</span><span class="sc" style="color: #5E5E5E;
-background-color: null;
-font-style: inherit;">:</span><span class="fu" style="color: #4758AB;
-background-color: null;
-font-style: inherit;">length</span>(coords)) {</span>
-<span id="cb5-12">  <span class="fu" style="color: #4758AB;
-background-color: null;
-font-style: inherit;">symbols</span>(</span>
-<span id="cb5-13">    coords[[i]][<span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">1</span>], coords[[i]][<span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">2</span>], <span class="at" style="color: #657422;
-background-color: null;
-font-style: inherit;">circles =</span> radii[[i]], </span>
-<span id="cb5-14">    <span class="at" style="color: #657422;
-background-color: null;
-font-style: inherit;">add =</span> <span class="cn" style="color: #8f5902;
-background-color: null;
-font-style: inherit;">TRUE</span>, <span class="at" style="color: #657422;
-background-color: null;
-font-style: inherit;">bg =</span> <span class="st" style="color: #20794D;
-background-color: null;
-font-style: inherit;">"red"</span>, <span class="at" style="color: #657422;
-background-color: null;
-font-style: inherit;">fg =</span> <span class="st" style="color: #20794D;
-background-color: null;
-font-style: inherit;">"blue"</span>, <span class="at" style="color: #657422;
-background-color: null;
-font-style: inherit;">inches =</span> <span class="cn" style="color: #8f5902;
-background-color: null;
-font-style: inherit;">FALSE</span></span>
-<span id="cb5-15">  )</span>
-<span id="cb5-16">}</span></code></pre></div>
-<div class="cell-output-display">
-<p><img src="https://www.spsanderson.com/steveondata/posts/2023-10-13/index_files/figure-html/unnamed-chunk-5-1.png" class="img-fluid" width="672"></p>
-</div>
-</div>
-<p>Here is one last exmple:</p>
-<div class="cell">
-<div class="sourceCode cell-code" id="cb6" style="background: #f1f3f5;"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb6-1"><span class="co" style="color: #5E5E5E;
-background-color: null;
-font-style: inherit;"># Create a scatter plot with multiple circles</span></span>
-<span id="cb6-2">n <span class="ot" style="color: #003B4F;
-background-color: null;
-font-style: inherit;">&lt;-</span> <span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">10</span></span>
-<span id="cb6-3">x <span class="ot" style="color: #003B4F;
-background-color: null;
-font-style: inherit;">&lt;-</span> <span class="fu" style="color: #4758AB;
-background-color: null;
-font-style: inherit;">runif</span>(n, <span class="sc" style="color: #5E5E5E;
-background-color: null;
-font-style: inherit;">-</span><span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">2</span>, <span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">2</span>)</span>
-<span id="cb6-4">y <span class="ot" style="color: #003B4F;
-background-color: null;
-font-style: inherit;">&lt;-</span> <span class="fu" style="color: #4758AB;
-background-color: null;
-font-style: inherit;">runif</span>(n, <span class="sc" style="color: #5E5E5E;
-background-color: null;
-font-style: inherit;">-</span><span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">2</span>, <span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">2</span>)</span>
-<span id="cb6-5">size <span class="ot" style="color: #003B4F;
-background-color: null;
-font-style: inherit;">&lt;-</span> <span class="fu" style="color: #4758AB;
-background-color: null;
-font-style: inherit;">runif</span>(n, <span class="fl" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">0.1</span>, <span class="dv" style="color: #AD0000;
-background-color: null;
-font-style: inherit;">1</span>)</span>
-<span id="cb6-6">fill <span class="ot" style="color: #003B4F;
-background-color: null;
-font-style: inherit;">&lt;-</span> <span class="fu" style="color: #4758AB;
-background-color: null;
-font-style: inherit;">sample</span>(<span class="fu" style="color: #4758AB;
-background-color: null;
-font-style: inherit;">colors</span>(), n)</span>
-<span id="cb6-7">border <span class="ot" style="color: #003B4F;
-background-color: null;
-font-style: inherit;">&lt;-</span> <span class="fu" style="color: #4758AB;
-background-color: null;
-font-style: inherit;">sample</span>(<span class="fu" style="color: #4758AB;
-background-color: null;
-font-style: inherit;">colors</span>(), n)</span>
-<span id="cb6-8"></span>
-<span id="cb6-9"><span class="fu" style="color: #4758AB;
-background-color: null;
-font-style: inherit;">symbols</span>(x, y, <span class="at" style="color: #657422;
-background-color: null;
-font-style: inherit;">circles =</span> size, <span class="at" style="color: #657422;
-background-color: null;
-font-style: inherit;">inches =</span> <span class="cn" style="color: #8f5902;
-background-color: null;
-font-style: inherit;">FALSE</span>, <span class="at" style="color: #657422;
-background-color: null;
-font-style: inherit;">add =</span> F, <span class="at" style="color: #657422;
-background-color: null;
-font-style: inherit;">bg =</span> fill, <span class="at" style="color: #657422;
-background-color: null;
-font-style: inherit;">fg =</span> border)</span></code></pre></div>
-<div class="cell-output-display">
-<p><img src="https://www.spsanderson.com/steveondata/posts/2023-10-13/index_files/figure-html/unnamed-chunk-6-1.png" class="img-fluid" width="672"></p>
-</div>
-</div>
-</section>
-<section id="conclusion" class="level1">
-<h1>Conclusion</h1>
-<p>Overall, drawing circles in plots is a simple and effective way to highlight certain data points or to create visualizations. Try experimenting with different coordinates, radii, colors, and borders to create your own custom plots.</p>
-
-
-</section>
-
- ]]></description>
-  <category>rtip</category>
-  <category>viz</category>
-  <guid>https://www.spsanderson.com/steveondata/posts/2023-10-13/index.html</guid>
-  <pubDate>Fri, 13 Oct 2023 04:00:00 GMT</pubDate>
-</item>
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+      <h1 class="title">How to Perform Multiple Linear Regression in R</h1>
+                                <div class="quarto-categories">
+                <div class="quarto-category">rtip</div>
+              </div>
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+      <div>
+      <div class="quarto-title-meta-heading">Author</div>
+      <div class="quarto-title-meta-contents">
+               <p>Steven P. Sanderson II, MPH </p>
+            </div>
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+      
+      <div>
+      <div class="quarto-title-meta-heading">Published</div>
+      <div class="quarto-title-meta-contents">
+        <p class="date">November 15, 2023</p>
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+
+
+
+<section id="introduction" class="level1">
+<h1>Introduction</h1>
+<p>Multiple linear regression is a powerful statistical method that allows us to examine the relationship between a dependent variable and multiple independent variables.</p>
+</section>
+<section id="example" class="level1">
+<h1>Example</h1>
+<section id="step-1-load-the-dataset" class="level2">
+<h2 class="anchored" data-anchor-id="step-1-load-the-dataset">Step 1: Load the dataset</h2>
+<div class="sourceCode" id="cb1"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Load the mtcars dataset</span></span>
+<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a><span class="fu">data</span>(mtcars)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+</section>
+<section id="step-2-build-the-model" class="level2">
+<h2 class="anchored" data-anchor-id="step-2-build-the-model">Step 2: Build the model</h2>
+<p>Now, let’s create the multiple linear regression model using the specified variables: disp, hp, and drat.</p>
+<div class="cell">
+<div class="sourceCode cell-code" id="cb2"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Build the multiple linear regression model</span></span>
+<span id="cb2-2"><a href="#cb2-2" aria-hidden="true" tabindex="-1"></a>model <span class="ot">&lt;-</span> <span class="fu">lm</span>(mpg <span class="sc">~</span> disp <span class="sc">+</span> hp <span class="sc">+</span> drat, <span class="at">data =</span> mtcars)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+</div>
+</section>
+<section id="step-3-examine-the-data" class="level2">
+<h2 class="anchored" data-anchor-id="step-3-examine-the-data">Step 3: Examine the data</h2>
+<p>It’s always a good idea to take a look at the relationships between variables before diving into the model. The <code>pairs()</code> function helps us with that.</p>
+<div class="cell">
+<div class="sourceCode cell-code" id="cb3"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Examine relationships between variables</span></span>
+<span id="cb3-2"><a href="#cb3-2" aria-hidden="true" tabindex="-1"></a><span class="fu">pairs</span>(mtcars[,<span class="fu">c</span>(<span class="st">"mpg"</span>,<span class="st">"disp"</span>,<span class="st">"hp"</span>,<span class="st">"drat"</span>)])</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<div class="cell-output-display">
+<p><img src="index_files/figure-html/unnamed-chunk-2-1.png" class="img-fluid" width="672"></p>
+</div>
+</div>
+</section>
+<section id="step-4-check-for-multicollinearity" class="level2">
+<h2 class="anchored" data-anchor-id="step-4-check-for-multicollinearity">Step 4: Check for multicollinearity</h2>
+<p>Multicollinearity is when independent variables in a regression model are highly correlated. It can affect the stability and reliability of our model. Keep an eye on the scatterplots in the pairs plot to get a sense of this.</p>
+</section>
+<section id="step-5-plot-the-residuals" class="level2">
+<h2 class="anchored" data-anchor-id="step-5-plot-the-residuals">Step 5: Plot the residuals</h2>
+<p>Now, let’s check the model’s residuals using a scatterplot. Residuals are the differences between observed and predicted values. They should ideally show no pattern.</p>
+<div class="cell">
+<div class="sourceCode cell-code" id="cb4"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Plot the residuals</span></span>
+<span id="cb4-2"><a href="#cb4-2" aria-hidden="true" tabindex="-1"></a><span class="fu">plot</span>(</span>
+<span id="cb4-3"><a href="#cb4-3" aria-hidden="true" tabindex="-1"></a>  model<span class="sc">$</span>residuals, </span>
+<span id="cb4-4"><a href="#cb4-4" aria-hidden="true" tabindex="-1"></a>  <span class="at">main =</span> <span class="st">"Residuals vs Fitted Values"</span>, </span>
+<span id="cb4-5"><a href="#cb4-5" aria-hidden="true" tabindex="-1"></a>  <span class="at">xlab =</span> <span class="st">"Fitted Values"</span>, </span>
+<span id="cb4-6"><a href="#cb4-6" aria-hidden="true" tabindex="-1"></a>  <span class="at">ylab =</span> <span class="st">"Residuals"</span></span>
+<span id="cb4-7"><a href="#cb4-7" aria-hidden="true" tabindex="-1"></a>  )</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<div class="cell-output-display">
+<p><img src="index_files/figure-html/unnamed-chunk-3-1.png" class="img-fluid" width="672"></p>
+</div>
+</div>
+</section>
+<section id="step-6-evaluate-the-model" class="level2">
+<h2 class="anchored" data-anchor-id="step-6-evaluate-the-model">Step 6: Evaluate the model</h2>
+<p>By examining the residuals vs.&nbsp;fitted values plot, we can identify patterns that may suggest non-linearity or heteroscedasticity. Ideally, residuals should be randomly scattered.</p>
+</section>
+<section id="step-7-encourage-readers-to-try-it-themselves" class="level2">
+<h2 class="anchored" data-anchor-id="step-7-encourage-readers-to-try-it-themselves">Step 7: Encourage readers to try it themselves</h2>
+<p>I’d encourage readers to take the code snippets, run them in their R environment, and explore. Maybe try different variables, tweak the model, or even use another dataset. Hands-on experience is the best teacher!</p>
+<p>Remember, understanding the data and interpreting the results is as important as running the code. It’s a fascinating journey into uncovering patterns and relationships within your data.</p>
+<p>Feel free to reach out if you have any questions or if there’s anything specific you’d like to explore further. Happy coding!</p>
+
+
+</section>
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index bf6a2a47..956ac62f 100644
--- a/docs/search.json
+++ b/docs/search.json
@@ -11,7 +11,7 @@
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-    "text": "How to Predict a Single Value Using a Regression Model in R\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nNov 14, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nUnlocking the Power of Prediction Intervals in R: A Practical Guide\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nNov 13, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nHow to Simulate & Plot a Bivariate Normal Distribution in R: A Hands-on Guide\n\n\n\n\n\n\n\nrtip\n\n\ndistribution\n\n\n\n\n\n\n\n\n\n\n\nNov 8, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nDemystifying Data: A Comprehensive Guide to Calculating and Plotting Cumulative Distribution Functions (CDFs) in R\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nNov 6, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nIntroducing TidyDensity’s New Powerhouse: The convert_to_ts() Function\n\n\n\n\n\n\n\nrtip\n\n\ntidydensity\n\n\ntimeseries\n\n\n\n\n\n\n\n\n\n\n\nNov 3, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nFitting a Distribution to Data in R\n\n\n\n\n\n\n\nrtip\n\n\ndistribution\n\n\n\n\n\n\n\n\n\n\n\nNov 2, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nUnderstanding the Triangular Distribution and Its Application in R\n\n\n\n\n\n\n\nrtip\n\n\ndistribution\n\n\n\n\n\n\n\n\n\n\n\nNov 1, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMultinomial Distribution in R\n\n\n\n\n\n\n\nrtip\n\n\ndistribution\n\n\n\n\n\n\n\n\n\n\n\nOct 31, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nRandomness in R: runif(), punif(), dunif(), and quinf()\n\n\n\n\n\n\n\nrtip\n\n\ndistribution\n\n\n\n\n\n\n\n\n\n\n\nOct 30, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nPlotting Log Log Plots In Base R\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nOct 27, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nPlotting a Logistic Regression In Base R\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nOct 26, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nWhat’s a Bland-Altman Plot? In Base R\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nOct 25, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCreating a Scree Plot in Base R\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nOct 24, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nHow to Create a Bubble Chart in R using ggplot2\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\nggplot2\n\n\n\n\n\n\n\n\n\n\n\nOct 23, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCreating Pareto Charts in R with the qcc Package\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nOct 20, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMastering Interaction Plots in R: Unveiling Hidden Relationships\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nOct 19, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMaking Time Series Stationary Made Easy with auto_stationarize()\n\n\n\n\n\n\n\nrtip\n\n\nhealthyrts\n\n\ntimeseries\n\n\n\n\n\n\n\n\n\n\n\nOct 18, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nTesting stationarity with the ts_adf_test() function in R\n\n\n\n\n\n\n\nrtip\n\n\nhealthyrts\n\n\ntimeseries\n\n\n\n\n\n\n\n\n\n\n\nOct 17, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nAnalyzing Time Series Growth with ts_growth_rate_vec() in healthyR.ts\n\n\n\n\n\n\n\nrtip\n\n\nhealthyrts\n\n\ntimeseries\n\n\n\n\n\n\n\n\n\n\n\nOct 16, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMastering the Art of Drawing Circles in Plots with R\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nOct 13, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nHow to Use cex to Change the Size of Plot Elements in base R\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nOct 12, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nHorizontal Legends in Base R\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nOct 11, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nResizing Legends in R\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nOct 10, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMastering Legends in R: Drawing Them Outside the Plot\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nOct 6, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nIntroduction\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nOct 5, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCreating Stacked Dot Plots in R: A Guide with Base R and ggplot2\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nOct 4, 2023\n\n\nSteven P. 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Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nPlotting SVM Decision Boundaries with e1071 in R\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nSep 11, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCreating Population Pyramid Plots in R with ggplot2\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nSep 8, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMastering Data Visualization in R: How to Plot a Subset of Data\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nSep 7, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExploring Multivariate Data with Principal Component Analysis (PCA) Biplot in R\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nSep 6, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nWhen to use Jitter\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nSep 5, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nKernel Density Plots in R\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nSep 1, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCreating Eye-Catching Data Visualizations with Lollipop Charts in R using ggplot2\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nAug 31, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExploring Relationships with Correlation Heatmaps in R\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\ncorrelation\n\n\n\n\n\n\n\n\n\n\n\nAug 30, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nVisualizing Categorical Data in R: A Guide with Engaging Charts Using the Iris Dataset\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nAug 29, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nEnhancing Your Histograms in R: Adding Vertical Lines for Better Insights\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nAug 28, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nHow to Plot Multiple Histograms with Base R and ggplot2\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nAug 25, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nPlotting Multiple Lines on a Graph in R: A Step-by-Step Guide\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nAug 24, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExploring Data Distribution in R: A Comprehensive Guide\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nAug 23, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nUnveiling Data Distribution Patterns with stripchart() in R\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nAug 22, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExploring Box Plots with Mean Values using Base R and ggplot2\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nAug 21, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExploring Data Distribution with Box Plots in R\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nAug 18, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMastering Data Approximation with R’s approx() Function\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nAug 17, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExploring the Power of the curve() Function in R\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nAug 16, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSolving Systems of Equations in R using the solve() Function\n\n\n\n\n\n\n\nrtip\n\n\nlinearequations\n\n\n\n\n\n\n\n\n\n\n\nAug 15, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nThe substring() function in R\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nAug 14, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\npmax() and pmin(): Finding the Parallel Maximum and Minimum in R\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nAug 11, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMastering Grouped Counting in R: A Comprehensive Guide\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nAug 10, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMastering Data Visualization: A Guide to Harnessing the Power of R’s par() Function\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nAug 9, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMastering Data Transformation with the scale() Function in R\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nAug 8, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nEnhance Your Plots with the text() Function in R\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nAug 7, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExploring R’s Versatile str() Function: Unraveling Your Data with Ease!\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nAug 4, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nA Handy Guide to read.delim() in R - Unraveling the Magic of Reading Tabular Data\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nAug 3, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nThe unlist() Function in R\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nAug 2, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nR Functions for Getting Objects\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nAug 1, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nThe replicate() function in R\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJul 31, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nThe intersect() function in R\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJul 28, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nUnleashing the Power of Cumulative Mean in R: A Step-by-Step Guide\n\n\n\n\n\n\n\nrtip\n\n\ncumulative\n\n\n\n\n\n\n\n\n\n\n\nJul 27, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSummarizing Data in R: tapply() vs. group_by() and summarize()\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJul 26, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nUnraveling Data Insights with R’s fivenum(): A Programmer’s Guide\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJul 25, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nHow to Calculate Percentage by Group in R using Base R, dplyr, and data.table\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJul 24, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nHarness the Power of paste() and cat() in R: Combining and Displaying Text Like a Pro\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJul 21, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSimplify Your Code with R’s Powerful Functions: with() and within()\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJul 20, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nHow to subset list objects in R\n\n\n\n\n\n\n\nrtip\n\n\nlist\n\n\nsubset\n\n\n\n\n\n\n\n\n\n\n\nJul 19, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nEfficiently Finding Duplicate Rows in R: A Comparative Analysis\n\n\n\n\n\n\n\nrtip\n\n\nbenchmark\n\n\ndplyr\n\n\ndatatable\n\n\n\n\n\n\n\n\n\n\n\nJul 18, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nFinding Duplicate Values in a Data Frame in R: A Guide Using Base R and dplyr\n\n\n\n\n\n\n\nrtip\n\n\nbenchmark\n\n\n\n\n\n\n\n\n\n\n\nJul 17, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCovariance in R with the cov() Function\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJul 14, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSimplifying File Existence Checking in R with file.exists()\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJul 13, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExploring Data with colMeans() in R: A Programmer’s Guide\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJul 12, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nA Closer Look at the R Function identical()\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJul 11, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSimplifying File Management in R: Introducing file.rename()\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJun 30, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nHow to Use a Windows .bat File to Execute an R Script\n\n\n\n\n\n\n\nrtip\n\n\nbatchfile\n\n\n\n\n\n\n\n\n\n\n\nJun 29, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExploring Rolling Correlation with the rollapply Function: A Powerful Tool for Analyzing Time-Series Data\n\n\n\n\n\n\n\nrtip\n\n\ntimeseries\n\n\n\n\n\n\n\n\n\n\n\nJun 28, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nThe ave() Function in R\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJun 27, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nVisualization in R: Unleashing the Power of the abline() Function\n\n\n\n\n\n\n\nrtip\n\n\nabline\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nJun 26, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nBootstrap Function in R: Resampling with the lapply and sample Functions\n\n\n\n\n\n\n\nrtip\n\n\nbootstrap\n\n\nlapply\n\n\nsample\n\n\n\n\n\n\n\n\n\n\n\nJun 23, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMastering Repetition with R’s rep() Function: A Programmer’s Guide\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJun 22, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nUnleashing the Power of Sampling in R: Exploring the Versatile sample() Function\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJun 21, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMastering Data Aggregation with xtabs() in R\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJun 20, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMastering the Power of R’s diff() Function: A Programmer’s Guide\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJun 16, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nIntroduction to Linear Regression in R: Analyzing the mtcars Dataset with lm()\n\n\n\n\n\n\n\nrtip\n\n\nlinear\n\n\nregression\n\n\n\n\n\n\n\n\n\n\n\nJun 15, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nPulling a formula from a recipe object\n\n\n\n\n\n\n\nrtip\n\n\nrecipes\n\n\ntidymodels\n\n\n\n\n\n\n\n\n\n\n\nJun 14, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSimplifying Model Formulas with the R Function ‘reformulate()’\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJun 13, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nUnderstanding the file.info() Function in R: Listing Files by Date\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJun 8, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSimplifying Data Transformation with pivot_longer() in R’s tidyr Library\n\n\n\n\n\n\n\nrtip\n\n\ntidyr\n\n\n\n\n\n\n\n\n\n\n\nJun 6, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSorting, Ordering, and Ranking: Unraveling R’s Powerful Functions\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJun 2, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nThe do.call() function in R: Unlocking Efficiency and Flexibility\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJun 1, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nDemystifying Regular Expressions: A Programmer’s Guide for Beginners\n\n\n\n\n\n\n\nrtip\n\n\nregex\n\n\n\n\n\n\n\n\n\n\n\nMay 31, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSimplifying Logical Operations with the R Function any()\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nMay 30, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nWhy Check File Size Output for Different Methods?\n\n\n\n\n\n\n\nrtip\n\n\nexcel\n\n\nopenxlsx\n\n\nxlsx\n\n\nwritexl\n\n\n\n\n\n\n\n\n\n\n\nMay 26, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nComparing R Packages for Writing Excel Files: An Analysis of writexl, openxlsx, and xlsx in R\n\n\n\n\n\n\n\nrtip\n\n\nexcel\n\n\nopenxlsx\n\n\nxlsx\n\n\nwritexl\n\n\n\n\n\n\n\n\n\n\n\nMay 25, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExploring Data with TidyDensity: A Guide to Using tidy_empirical() and tidy_four_autoplot() in R\n\n\n\n\n\n\n\nrtip\n\n\ntidydensity\n\n\ndplyr\n\n\npurrr\n\n\n\n\n\n\n\n\n\n\n\nMay 24, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nWhat is the sink() function? Capturing Output to External Files\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nMay 23, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nUpdate to {TidyDensity}\n\n\n\n\n\n\n\nrtip\n\n\ntidydensity\n\n\n\n\n\n\n\n\n\n\n\nMay 22, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMastering File Manipulation with R’s list.files() Function\n\n\n\n\n\n\n\nrtip\n\n\nfiles\n\n\n\n\n\n\n\n\n\n\n\nMay 19, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nThe which() Function in R\n\n\n\n\n\n\n\nrtip\n\n\nwhich\n\n\n\n\n\n\n\n\n\n\n\nMay 18, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nWorking with Dates and Times Pt 4\n\n\n\n\n\n\n\nrtip\n\n\ndatetime\n\n\n\n\n\n\n\n\n\n\n\nMay 17, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nWorking with Dates and Times Pt 3\n\n\n\n\n\n\n\nrtip\n\n\ndatetime\n\n\n\n\n\n\n\n\n\n\n\nMay 16, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nWorking with Dates and Times Pt 2: Finding the Next Mothers Day with Simplicity\n\n\n\n\n\n\n\nrtip\n\n\ndatetime\n\n\n\n\n\n\n\n\n\n\n\nMay 15, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nWorking with Dates and Times Pt 1\n\n\n\n\n\n\n\nrtip\n\n\ndatetime\n\n\n\n\n\n\n\n\n\n\n\nMay 12, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nVBA to R and Back Again: Running R from VBA Pt 2\n\n\n\n\n\n\n\nrtip\n\n\nvba\n\n\nexcel\n\n\n\n\n\n\n\n\n\n\n\nMay 10, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nVBA to R and Back Again: Running R from VBA\n\n\n\n\n\n\n\nrtip\n\n\nvba\n\n\nexcel\n\n\n\n\n\n\n\n\n\n\n\nMay 9, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nUpdates to {healthyR.data}\n\n\n\n\n\n\n\nrtip\n\n\nhealthyrdata\n\n\n\n\n\n\n\n\n\n\n\nMay 8, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMaps with {shiny} Pt 2\n\n\n\n\n\n\n\nrtip\n\n\nshiny\n\n\nmapping\n\n\n\n\n\n\n\n\n\n\n\nMay 5, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMaps with {shiny}\n\n\n\n\n\n\n\nrtip\n\n\nshiny\n\n\nmapping\n\n\n\n\n\n\n\n\n\n\n\nMay 4, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nHow to Download a File from the Internet using download.file()\n\n\n\n\n\n\n\nrtip\n\n\nshiny\n\n\nreadxl\n\n\nexcel\n\n\n\n\n\n\n\n\n\n\n\nMay 3, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExtracting a model call from a fitted workflow in {tidymodels}\n\n\n\n\n\n\n\nrtip\n\n\nshiny\n\n\ntidymodels\n\n\n\n\n\n\n\n\n\n\n\nMay 1, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nBuilding models with {shiny} and {tidyAML} Part 4\n\n\n\n\n\n\n\nrtip\n\n\nshiny\n\n\ntidymodels\n\n\ntidyaml\n\n\n\n\n\n\n\n\n\n\n\nApr 29, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nBuilding models with {shiny} and {tidyAML} Part 3\n\n\n\n\n\n\n\nrtip\n\n\nshiny\n\n\ntidymodels\n\n\ntidyaml\n\n\n\n\n\n\n\n\n\n\n\nApr 27, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nBuilding models with {shiny} and {tidyAML} Part 2\n\n\n\n\n\n\n\nrtip\n\n\nshiny\n\n\ntidymodels\n\n\ntidyaml\n\n\n\n\n\n\n\n\n\n\n\nApr 26, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nBuilding models with {shiny} and {tidyAML} Part 1\n\n\n\n\n\n\n\nrtip\n\n\nshiny\n\n\ntidymodels\n\n\ntidyaml\n\n\n\n\n\n\n\n\n\n\n\nApr 25, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExploring Distributions with {shiny}, {TidyDensity} and {plotly} Part 5\n\n\n\n\n\n\n\nrtip\n\n\nshiny\n\n\ntidydensity\n\n\nplotly\n\n\n\n\n\n\n\n\n\n\n\nApr 24, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExploring Distributions with {shiny} and {TidyDensity} Part 4\n\n\n\n\n\n\n\nrtip\n\n\nshiny\n\n\ntidydensity\n\n\n\n\n\n\n\n\n\n\n\nApr 21, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExploring Distributions with {shiny} and {TidyDensity} Part 3\n\n\n\n\n\n\n\nrtip\n\n\nshiny\n\n\ntidydensity\n\n\n\n\n\n\n\n\n\n\n\nApr 20, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExploring Distributions with {shiny} and {TidyDensity} Part 2\n\n\n\n\n\n\n\nrtip\n\n\nshiny\n\n\ntidydensity\n\n\n\n\n\n\n\n\n\n\n\nApr 19, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExploring Distributions with {shiny} and {TidyDensity}\n\n\n\n\n\n\n\nrtip\n\n\nshiny\n\n\ntidydensity\n\n\n\n\n\n\n\n\n\n\n\nApr 18, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nStyling Tables for Excel with {styledTables}\n\n\n\n\n\n\n\nrtip\n\n\nexcel\n\n\n\n\n\n\n\n\n\n\n\nApr 11, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nReading in Multiple Excel Sheets with lapply and {readxl}\n\n\n\n\n\n\n\nrtip\n\n\nreadxl\n\n\nlapply\n\n\nhealthyr\n\n\n\n\n\n\n\n\n\n\n\nApr 7, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nA New Package for the African Stock Market {BRVM}\n\n\n\n\n\n\n\nrtip\n\n\nbrvm\n\n\nmarkets\n\n\n\n\n\n\n\n\n\n\n\nApr 6, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nLooking at Daily Log Returns with tidyquant, TidyDensity, and Shiny\n\n\n\n\n\n\n\nrtip\n\n\nshiny\n\n\ntidydensity\n\n\ntidyquant\n\n\ntimeseries\n\n\n\n\n\n\n\n\n\n\n\nApr 5, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nA sample Shiny App to view Forecasts on the AirPassengers Data\n\n\n\n\n\n\n\nrtip\n\n\nshiny\n\n\ndata\n\n\ntimeseries\n\n\n\n\n\n\n\n\n\n\n\nApr 4, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nA sample Shiny App to view CMS Healthcare Data\n\n\n\n\n\n\n\nrtip\n\n\nshiny\n\n\ndata\n\n\nhealthcare\n\n\ncms\n\n\n\n\n\n\n\n\n\n\n\nApr 3, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nA Bootstrapped Time Series Model with auto.arima() from {forecast}\n\n\n\n\n\n\n\nrtip\n\n\ntimeseries\n\n\nbootstrap\n\n\n\n\n\n\n\n\n\n\n\nMar 29, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nHow fast does a compressed file in Part 2\n\n\n\n\n\n\n\nrtip\n\n\nbenchmark\n\n\narrow\n\n\nduckdb\n\n\ndatatable\n\n\nreadr\n\n\n\n\n\n\n\n\n\n\n\nMar 28, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nHow fast does a compressed file in?\n\n\n\n\n\n\n\nrtip\n\n\nbenchmark\n\n\n\n\n\n\n\n\n\n\n\nMar 27, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nHow fast do the files read in?\n\n\n\n\n\n\n\nrtip\n\n\nbenchmark\n\n\n\n\n\n\n\n\n\n\n\nMar 24, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSome Examples of Cumulative Mean with {TidyDensity}\n\n\n\n\n\n\n\nrtip\n\n\ntidydensity\n\n\n\n\n\n\n\n\n\n\n\nMar 22, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nGetting the CCI30 Index Current Makeup\n\n\n\n\n\n\n\ncrypto\n\n\ncci30\n\n\n\n\n\n\n\n\n\n\n\nMar 21, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nUse of the apply family of functions\n\n\n\n\n\n\n\nthanks\n\n\n\n\n\n\n\n\n\n\n\nMar 17, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nUse of the apply family of functions\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\napply\n\n\n\n\n\n\n\n\n\n\n\nMar 10, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMultiple Solutions to speedup tidy_bernoulli() with {data.table}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntidydensity\n\n\ndatatable\n\n\n\n\n\n\n\n\n\n\n\nMar 9, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nGetting NYS Home Heating Oil Prices with {rvest}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nrvest\n\n\n\n\n\n\n\n\n\n\n\nMar 8, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\ntidy_bernoulli() with {data.table}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ndatatable\n\n\n\n\n\n\n\n\n\n\n\nMar 7, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSimple examples of imap() from {purrr}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\npurrr\n\n\n\n\n\n\n\n\n\n\n\nMar 6, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSimple examples of pmap() from {purrr}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\npurrr\n\n\n\n\n\n\n\n\n\n\n\nMar 3, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nForecasting Timeseries in a list with R\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\npurrr\n\n\ntimeseries\n\n\n\n\n\n\n\n\n\n\n\nMar 2, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nText Processing Made Easy with {healthyR}’s sql_left(), sql_mid(), and sql_right() Functions in R\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nsql\n\n\nhealthyr\n\n\n\n\n\n\n\n\n\n\n\nMar 1, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nOpen a File Folder in R\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nshell\n\n\n\n\n\n\n\n\n\n\n\nFeb 28, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nQuickly Generate Nested Time Series Models\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntimeseries\n\n\nautoarima\n\n\n\n\n\n\n\n\n\n\n\nFeb 27, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nData Preppers with {healthyR.ai}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrai\n\n\npreprocessor\n\n\n\n\n\n\n\n\n\n\n\nFeb 24, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCalibrate and Plot a Time Series with {healthyR.ts}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrts\n\n\ntimeseries\n\n\n\n\n\n\n\n\n\n\n\nFeb 22, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nConverting a {tidyAML} tibble to a {workflowsets}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntidyaml\n\n\nworkflowsets\n\n\ntidymodels\n\n\n\n\n\n\n\n\n\n\n\nFeb 17, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nOfficially on CRAN {tidyAML}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntidyaml\n\n\n\n\n\n\n\n\n\n\n\nFeb 16, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMoving Average Plots with {healthyR.ts}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntimeseries\n\n\nhealthyrts\n\n\n\n\n\n\n\n\n\n\n\nFeb 15, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nAn example of using {box}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nbox\n\n\n\n\n\n\n\n\n\n\n\nFeb 14, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nOff to CRAN! {tidyAML}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntidyaml\n\n\ntidymodels\n\n\n\n\n\n\n\n\n\n\n\nFeb 13, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nGet the Current Hospital Data Set from CMS with {healthyR.data}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrdata\n\n\n\n\n\n\n\n\n\n\n\nFeb 10, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCreating and Predicting Fast Regression Parsnip Models with {tidyAML}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntidyaml\n\n\n\n\n\n\n\n\n\n\n\nFeb 9, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCreating an R Project Directory\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nFeb 8, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSubsetting Named Lists in R\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nlist\n\n\n\n\n\n\n\n\n\n\n\nFeb 7, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCumulative Measurement Functions with {TidyDensity}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntidydensity\n\n\n\n\n\n\n\n\n\n\n\nFeb 6, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nThe Argument Matcher: A Function for Selecting the Right Arguments {tidyAML}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nlist\n\n\ntidyaml\n\n\ntidymodels\n\n\n\n\n\n\n\n\n\n\n\nFeb 3, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nDiverging Lollipop Chart: A Visual Tool for Comparing Data with {healthyR}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyr\n\n\nplots\n\n\n\n\n\n\n\n\n\n\n\nFeb 2, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nAttributes in R Functions: An Overview\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nmetadata\n\n\nattributes\n\n\n\n\n\n\n\n\n\n\n\nFeb 1, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMedian: A Simple Way to Detect Excess Events Over Time with {healthyR}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntimeseries\n\n\nhealthyr\n\n\n\n\n\n\n\n\n\n\n\nJan 31, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\n{healthyR.ts}: The New and Improved Library for Time Series Analysis\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntimeseries\n\n\nhealthyrts\n\n\n\n\n\n\n\n\n\n\n\nJan 30, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nService Line Grouping with {healthyR}\n\n\n\n\n\n\n\ncode\n\n\nweeklytip\n\n\naugment\n\n\nhealthyr\n\n\n\n\n\n\n\n\n\n\n\nJan 27, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nTransforming Your Data: A Guide to Popular Methods and How to Implement Them with {healthyR.ai}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntransforms\n\n\nhealthyrai\n\n\n\n\n\n\n\n\n\n\n\nJan 26, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSimplifying List Filtering in R with purrr’s keep()\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nlists\n\n\npurrr\n\n\n\n\n\n\n\n\n\n\n\nJan 25, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMaking Non Stationary Data Stationary\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nlists\n\n\ntimeseries\n\n\n\n\n\n\n\n\n\n\n\nJan 24, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nADF and Phillips-Perron Tests for Stationarity using lists\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nlists\n\n\ntimeseries\n\n\nlapply\n\n\n\n\n\n\n\n\n\n\n\nJan 23, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nAnother Post on Lists\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nlists\n\n\n\n\n\n\n\n\n\n\n\nJan 20, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nBoilerplate XGBoost with {healthyR.ai}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nxgboost\n\n\nhealthyrai\n\n\n\n\n\n\n\n\n\n\n\nJan 19, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nGeometric Brownian Motion with {healthyR.ts}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntimeseries\n\n\nhealthyrts\n\n\n\n\n\n\n\n\n\n\n\nJan 18, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nAugmenting a Brownian Motion to a Time Series with {healthyR.ts}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntimeseries\n\n\nhealthyrts\n\n\n\n\n\n\n\n\n\n\n\nJan 17, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nAuto K-Means with {healthyR.ai}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nkmeans\n\n\nhealthyrai\n\n\n\n\n\n\n\n\n\n\n\nJan 16, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nThe building of {tidyAML}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntidyaml\n\n\npurrr\n\n\n\n\n\n\n\n\n\n\n\nJan 13, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nAn Update on {tidyAML}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntidyaml\n\n\nautoml\n\n\n\n\n\n\n\n\n\n\n\nJan 12, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nReflecting on the Past Year: A LinkedIn Year in Review\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nlinkedin\n\n\n\n\n\n\n\n\n\n\n\nJan 11, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nOptimal Break Points for Histograms with {healthyR}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyr\n\n\nhistograms\n\n\n\n\n\n\n\n\n\n\n\nJan 10, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nNew Release of {healthyR.ts}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrts\n\n\n\n\n\n\n\n\n\n\n\nJan 9, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nBrownian Motion\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nweeklytip\n\n\n\n\n\n\n\n\n\n\n\nJan 6, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMore Randomwalks with {TidyDensity}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntidydensity\n\n\nrandomwalk\n\n\n\n\n\n\n\n\n\n\n\nJan 5, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCalendar Heatmap with {healthyR.ts}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrts\n\n\ntimeseries\n\n\n\n\n\n\n\n\n\n\n\nJan 3, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nEvent Analysis with {healthyR.ts}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrts\n\n\ntimeseries\n\n\n\n\n\n\n\n\n\n\n\nDec 30, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nGartner Magic Chart and its usefulness in healthcare analytics with {healthyR}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyr\n\n\n\n\n\n\n\n\n\n\n\nDec 29, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSimulating Time Series Model Forecasts with {healthyR.ts}\n\n\n\n\n\n\n\ncode\n\n\nweeklytip\n\n\nhealthyrts\n\n\ntimeseries\n\n\nsimulation\n\n\n\n\n\n\n\n\n\n\n\nDec 23, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nListing Functions and Parameters\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ndplyr\n\n\n\n\n\n\n\n\n\n\n\nDec 22, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nDistribution Statistics with {TidyDensity}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntidydensity\n\n\n\n\n\n\n\n\n\n\n\nDec 21, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nRandom Walks with {TidyDensity}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nrandomwalk\n\n\ntidydensity\n\n\n\n\n\n\n\n\n\n\n\nDec 20, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nViewing Different Versions of the Same Statistical Distribution with {TidyDensity}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ndistributions\n\n\ntidydensity\n\n\n\n\n\n\n\n\n\n\n\nDec 19, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nModel Scedacity Plots with {healthyR.ts}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntimeseries\n\n\nhealthyrts\n\n\n\n\n\n\n\n\n\n\n\nDec 16, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSimple Moving Average Plots with {healthyR.ts}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntimeseries\n\n\nhealthyrts\n\n\n\n\n\n\n\n\n\n\n\nDec 15, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nDistribution Summaries with {TidyDensity}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntidydensity\n\n\n\n\n\n\n\n\n\n\n\nDec 14, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMixture Distributions with {TidyDensity}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntidydensity\n\n\nmixturemodels\n\n\n\n\n\n\n\n\n\n\n\nDec 13, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCreate QQ Plots for Time Series Models with {healthyR.ts}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntimeseries\n\n\nhealthyrts\n\n\n\n\n\n\n\n\n\n\n\nDec 9, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCreate a Faceted Historgram Plot with {healthyR.ai}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhistograms\n\n\nhealthyrai\n\n\n\n\n\n\n\n\n\n\n\nDec 8, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCreate Multiple {parsnip} Model Specs with {purrr}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nparsnip\n\n\npurrr\n\n\n\n\n\n\n\n\n\n\n\nDec 7, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nZ-Score Scaling Step Recipe with {healthyR.ai}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrai\n\n\nrecipes\n\n\n\n\n\n\n\n\n\n\n\nDec 6, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nNaming Items in a List with {purrr}, {dplyr}, or {healthyR}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\npurrr\n\n\nhealthyr\n\n\n\n\n\n\n\n\n\n\n\nDec 5, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nAuto KNN with {healthyR.ai}\n\n\n\n\n\n\n\ncode\n\n\nweeklytip\n\n\nknn\n\n\nhealthyrai\n\n\n\n\n\n\n\n\n\n\n\nDec 2, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExtract Boilerplate Workflow Metrics with {healthyR.ai}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrai\n\n\n\n\n\n\n\n\n\n\n\nDec 1, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nGenerate Random Walk Data with {healthyR.ts}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntimeseries\n\n\nhealthyrts\n\n\n\n\n\n\n\n\n\n\n\nNov 30, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nWorking with Lists\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nlists\n\n\nlapply\n\n\n\n\n\n\n\n\n\n\n\nNov 29, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nDefault Metric Sets with {healthyR.ai}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrai\n\n\n\n\n\n\n\n\n\n\n\nNov 28, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSummary Statistics with {TidyDensity}\n\n\n\n\n\n\n\ncode\n\n\nweeklytip\n\n\ntidydensity\n\n\ndatatable\n\n\n\n\n\n\n\n\n\n\n\nNov 23, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nData Preprocessing Scale/Normalize with {healthyR.ai}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrai\n\n\nrecipes\n\n\n\n\n\n\n\n\n\n\n\nNov 22, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nBootstrap Modeling with Base R\n\n\n\n\n\n\n\ncode\n\n\nbootstrap\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nNov 21, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nUpdates to {healthyverse} packages\n\n\n\n\n\n\n\ncode\n\n\nweeklytip\n\n\nhealthyverse\n\n\n\n\n\n\n\n\n\n\n\nNov 18, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nBootstrap Modeling with {purrr} and {modler}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\npurrr\n\n\nmodelr\n\n\n\n\n\n\n\n\n\n\n\nNov 17, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCumulative Harmonic Mean with {TidyDensity}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntidydensity\n\n\n\n\n\n\n\n\n\n\n\nNov 16, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nAuto Prep data for XGBoost with {healthyR.ai}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrai\n\n\nxgboost\n\n\n\n\n\n\n\n\n\n\n\nNov 15, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nFind Skewed Features with {healthyR.ai}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrai\n\n\nskew\n\n\n\n\n\n\n\n\n\n\n\nNov 14, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nTime Series Lag Correlation Plots\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrts\n\n\nweeklytip\n\n\n\n\n\n\n\n\n\n\n\nNov 11, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nReading Multiple Files with {purrr}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\npurrr\n\n\n\n\n\n\n\n\n\n\n\nNov 10, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMapping K-Means with healthyR.ai\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrai\n\n\nkmeans\n\n\n\n\n\n\n\n\n\n\n\nNov 9, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nHyperbolic Transform with healthyR.ai\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrai\n\n\n\n\n\n\n\n\n\n\n\nNov 8, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nDiscrete Fourier Vec with healthyR.ai\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrai\n\n\n\n\n\n\n\n\n\n\n\nNov 7, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nBootstrapping and Plots with TidyDensity\n\n\n\n\n\n\n\ncode\n\n\ntidydensity\n\n\nbootstrap\n\n\nweeklytip\n\n\n\n\n\n\n\n\n\n\n\nNov 4, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCumulative Skewness\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nOct 31, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nPCA with healthyR.ai\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrai\n\n\nweeklytip\n\n\n\n\n\n\n\n\n\n\n\nOct 28, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nControl Charts in healthyR.ai\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrai\n\n\n\n\n\n\n\n\n\n\n\nOct 26, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCumulative Variance\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ncumulative\n\n\nsapply\n\n\nlapply\n\n\n\n\n\n\n\n\n\n\n\nOct 24, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nTime Series Clustering with healthyR.ts\n\n\n\n\n\n\n\ncode\n\n\nweeklytip\n\n\nhealthyrts\n\n\n\n\n\n\n\n\n\n\n\nOct 21, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nhealthyR.ai Primer\n\n\n\n\n\n\n\ncode\n\n\nweeklytip\n\n\nhealthyrai\n\n\n\n\n\n\n\n\n\n\n\nOct 13, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nTidyDensity Primer\n\n\n\n\n\n\n\ncode\n\n\nweeklytip\n\n\ntidydensity\n\n\n\n\n\n\n\n\n\n\n\nOct 7, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSimple lapply()\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nweeklytip\n\n\n\n\n\n\n\n\n\n\n\nOct 5, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nWelcome To Steve On Data\n\n\n\n\n\n\n\nnews\n\n\n\n\n\n\n\n\n\n\n\nOct 5, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\nNo matching items"
+    "text": "How to Perform Multiple Linear Regression in R\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nNov 15, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nHow to Predict a Single Value Using a Regression Model in R\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nNov 14, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nUnlocking the Power of Prediction Intervals in R: A Practical Guide\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nNov 13, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nHow to Simulate & Plot a Bivariate Normal Distribution in R: A Hands-on Guide\n\n\n\n\n\n\n\nrtip\n\n\ndistribution\n\n\n\n\n\n\n\n\n\n\n\nNov 8, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nDemystifying Data: A Comprehensive Guide to Calculating and Plotting Cumulative Distribution Functions (CDFs) in R\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nNov 6, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nIntroducing TidyDensity’s New Powerhouse: The convert_to_ts() Function\n\n\n\n\n\n\n\nrtip\n\n\ntidydensity\n\n\ntimeseries\n\n\n\n\n\n\n\n\n\n\n\nNov 3, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nFitting a Distribution to Data in R\n\n\n\n\n\n\n\nrtip\n\n\ndistribution\n\n\n\n\n\n\n\n\n\n\n\nNov 2, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nUnderstanding the Triangular Distribution and Its Application in R\n\n\n\n\n\n\n\nrtip\n\n\ndistribution\n\n\n\n\n\n\n\n\n\n\n\nNov 1, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMultinomial Distribution in R\n\n\n\n\n\n\n\nrtip\n\n\ndistribution\n\n\n\n\n\n\n\n\n\n\n\nOct 31, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nRandomness in R: runif(), punif(), dunif(), and quinf()\n\n\n\n\n\n\n\nrtip\n\n\ndistribution\n\n\n\n\n\n\n\n\n\n\n\nOct 30, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nPlotting Log Log Plots In Base R\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nOct 27, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nPlotting a Logistic Regression In Base R\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nOct 26, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nWhat’s a Bland-Altman Plot? In Base R\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nOct 25, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCreating a Scree Plot in Base R\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nOct 24, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nHow to Create a Bubble Chart in R using ggplot2\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\nggplot2\n\n\n\n\n\n\n\n\n\n\n\nOct 23, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCreating Pareto Charts in R with the qcc Package\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nOct 20, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMastering Interaction Plots in R: Unveiling Hidden Relationships\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nOct 19, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMaking Time Series Stationary Made Easy with auto_stationarize()\n\n\n\n\n\n\n\nrtip\n\n\nhealthyrts\n\n\ntimeseries\n\n\n\n\n\n\n\n\n\n\n\nOct 18, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nTesting stationarity with the ts_adf_test() function in R\n\n\n\n\n\n\n\nrtip\n\n\nhealthyrts\n\n\ntimeseries\n\n\n\n\n\n\n\n\n\n\n\nOct 17, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nAnalyzing Time Series Growth with ts_growth_rate_vec() in healthyR.ts\n\n\n\n\n\n\n\nrtip\n\n\nhealthyrts\n\n\ntimeseries\n\n\n\n\n\n\n\n\n\n\n\nOct 16, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMastering the Art of Drawing Circles in Plots with R\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nOct 13, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nHow to Use cex to Change the Size of Plot Elements in base R\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nOct 12, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nHorizontal Legends in Base R\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nOct 11, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nResizing Legends in R\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nOct 10, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMastering Legends in R: Drawing Them Outside the Plot\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nOct 6, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nIntroduction\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nOct 5, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCreating Stacked Dot Plots in R: A Guide with Base R and ggplot2\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nOct 4, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCreating Interactive Radar Charts in R with the ‘fmsb’ Library\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nOct 3, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nHorizontal Boxplots in R using the Palmer Penguins Data Set\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nOct 2, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nPlotting Decision Trees in R with rpart and rpart.plot\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nSep 29, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nHow to Reorder Boxplots in R: A Comprehensive Guide\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nSep 28, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nEnhancing Your Data Visualizations with Base R: Overlaying Points and Lines\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nSep 27, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMastering Data Visualization with ggplot2: A Guide to Using facet_grid()\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\nggplot2\n\n\n\n\n\n\n\n\n\n\n\nSep 26, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMastering Data Visualization with Pairs Plots in Base R\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nSep 25, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCreating Confidence Intervals for a Linear Model in R Using Base R and the Iris Dataset\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nSep 22, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMastering Data Visualization in R: Plotting Predicted Values with the mtcars Dataset\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nSep 20, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExploring Data with Scatter Plots by Group in R\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nSep 19, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMastering Histogram Breaks in R: Unveiling the Power of Data Visualization\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nSep 18, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nHistograms with Two or More Variables in R\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nSep 15, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nHow to Create a Histogram with Different Colors in R\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nSep 14, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nHow to Plot Multiple Plots on the Same Graph in R\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nSep 13, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExploring the Third Dimension with R: A Guide to the persp() Function\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nSep 12, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nPlotting SVM Decision Boundaries with e1071 in R\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nSep 11, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCreating Population Pyramid Plots in R with ggplot2\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nSep 8, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMastering Data Visualization in R: How to Plot a Subset of Data\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nSep 7, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExploring Multivariate Data with Principal Component Analysis (PCA) Biplot in R\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nSep 6, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nWhen to use Jitter\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nSep 5, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nKernel Density Plots in R\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nSep 1, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCreating Eye-Catching Data Visualizations with Lollipop Charts in R using ggplot2\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nAug 31, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExploring Relationships with Correlation Heatmaps in R\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\ncorrelation\n\n\n\n\n\n\n\n\n\n\n\nAug 30, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nVisualizing Categorical Data in R: A Guide with Engaging Charts Using the Iris Dataset\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nAug 29, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nEnhancing Your Histograms in R: Adding Vertical Lines for Better Insights\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nAug 28, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nHow to Plot Multiple Histograms with Base R and ggplot2\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nAug 25, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nPlotting Multiple Lines on a Graph in R: A Step-by-Step Guide\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nAug 24, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExploring Data Distribution in R: A Comprehensive Guide\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nAug 23, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nUnveiling Data Distribution Patterns with stripchart() in R\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nAug 22, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExploring Box Plots with Mean Values using Base R and ggplot2\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nAug 21, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExploring Data Distribution with Box Plots in R\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nAug 18, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMastering Data Approximation with R’s approx() Function\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nAug 17, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExploring the Power of the curve() Function in R\n\n\n\n\n\n\n\nrtip\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nAug 16, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSolving Systems of Equations in R using the solve() Function\n\n\n\n\n\n\n\nrtip\n\n\nlinearequations\n\n\n\n\n\n\n\n\n\n\n\nAug 15, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nThe substring() function in R\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nAug 14, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\npmax() and pmin(): Finding the Parallel Maximum and Minimum in R\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nAug 11, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMastering Grouped Counting in R: A Comprehensive Guide\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nAug 10, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMastering Data Visualization: A Guide to Harnessing the Power of R’s par() Function\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nAug 9, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMastering Data Transformation with the scale() Function in R\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nAug 8, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nEnhance Your Plots with the text() Function in R\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nAug 7, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExploring R’s Versatile str() Function: Unraveling Your Data with Ease!\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nAug 4, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nA Handy Guide to read.delim() in R - Unraveling the Magic of Reading Tabular Data\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nAug 3, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nThe unlist() Function in R\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nAug 2, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nR Functions for Getting Objects\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nAug 1, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nThe replicate() function in R\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJul 31, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nThe intersect() function in R\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJul 28, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nUnleashing the Power of Cumulative Mean in R: A Step-by-Step Guide\n\n\n\n\n\n\n\nrtip\n\n\ncumulative\n\n\n\n\n\n\n\n\n\n\n\nJul 27, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSummarizing Data in R: tapply() vs. group_by() and summarize()\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJul 26, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nUnraveling Data Insights with R’s fivenum(): A Programmer’s Guide\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJul 25, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nHow to Calculate Percentage by Group in R using Base R, dplyr, and data.table\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJul 24, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nHarness the Power of paste() and cat() in R: Combining and Displaying Text Like a Pro\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJul 21, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSimplify Your Code with R’s Powerful Functions: with() and within()\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJul 20, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nHow to subset list objects in R\n\n\n\n\n\n\n\nrtip\n\n\nlist\n\n\nsubset\n\n\n\n\n\n\n\n\n\n\n\nJul 19, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nEfficiently Finding Duplicate Rows in R: A Comparative Analysis\n\n\n\n\n\n\n\nrtip\n\n\nbenchmark\n\n\ndplyr\n\n\ndatatable\n\n\n\n\n\n\n\n\n\n\n\nJul 18, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nFinding Duplicate Values in a Data Frame in R: A Guide Using Base R and dplyr\n\n\n\n\n\n\n\nrtip\n\n\nbenchmark\n\n\n\n\n\n\n\n\n\n\n\nJul 17, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCovariance in R with the cov() Function\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJul 14, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSimplifying File Existence Checking in R with file.exists()\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJul 13, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExploring Data with colMeans() in R: A Programmer’s Guide\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJul 12, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nA Closer Look at the R Function identical()\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJul 11, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSimplifying File Management in R: Introducing file.rename()\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJun 30, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nHow to Use a Windows .bat File to Execute an R Script\n\n\n\n\n\n\n\nrtip\n\n\nbatchfile\n\n\n\n\n\n\n\n\n\n\n\nJun 29, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExploring Rolling Correlation with the rollapply Function: A Powerful Tool for Analyzing Time-Series Data\n\n\n\n\n\n\n\nrtip\n\n\ntimeseries\n\n\n\n\n\n\n\n\n\n\n\nJun 28, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nThe ave() Function in R\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJun 27, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nVisualization in R: Unleashing the Power of the abline() Function\n\n\n\n\n\n\n\nrtip\n\n\nabline\n\n\nviz\n\n\n\n\n\n\n\n\n\n\n\nJun 26, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nBootstrap Function in R: Resampling with the lapply and sample Functions\n\n\n\n\n\n\n\nrtip\n\n\nbootstrap\n\n\nlapply\n\n\nsample\n\n\n\n\n\n\n\n\n\n\n\nJun 23, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMastering Repetition with R’s rep() Function: A Programmer’s Guide\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJun 22, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nUnleashing the Power of Sampling in R: Exploring the Versatile sample() Function\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJun 21, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMastering Data Aggregation with xtabs() in R\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJun 20, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMastering the Power of R’s diff() Function: A Programmer’s Guide\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJun 16, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nIntroduction to Linear Regression in R: Analyzing the mtcars Dataset with lm()\n\n\n\n\n\n\n\nrtip\n\n\nlinear\n\n\nregression\n\n\n\n\n\n\n\n\n\n\n\nJun 15, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nPulling a formula from a recipe object\n\n\n\n\n\n\n\nrtip\n\n\nrecipes\n\n\ntidymodels\n\n\n\n\n\n\n\n\n\n\n\nJun 14, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSimplifying Model Formulas with the R Function ‘reformulate()’\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJun 13, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nUnderstanding the file.info() Function in R: Listing Files by Date\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJun 8, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSimplifying Data Transformation with pivot_longer() in R’s tidyr Library\n\n\n\n\n\n\n\nrtip\n\n\ntidyr\n\n\n\n\n\n\n\n\n\n\n\nJun 6, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSorting, Ordering, and Ranking: Unraveling R’s Powerful Functions\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJun 2, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nThe do.call() function in R: Unlocking Efficiency and Flexibility\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nJun 1, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nDemystifying Regular Expressions: A Programmer’s Guide for Beginners\n\n\n\n\n\n\n\nrtip\n\n\nregex\n\n\n\n\n\n\n\n\n\n\n\nMay 31, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSimplifying Logical Operations with the R Function any()\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nMay 30, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nWhy Check File Size Output for Different Methods?\n\n\n\n\n\n\n\nrtip\n\n\nexcel\n\n\nopenxlsx\n\n\nxlsx\n\n\nwritexl\n\n\n\n\n\n\n\n\n\n\n\nMay 26, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nComparing R Packages for Writing Excel Files: An Analysis of writexl, openxlsx, and xlsx in R\n\n\n\n\n\n\n\nrtip\n\n\nexcel\n\n\nopenxlsx\n\n\nxlsx\n\n\nwritexl\n\n\n\n\n\n\n\n\n\n\n\nMay 25, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExploring Data with TidyDensity: A Guide to Using tidy_empirical() and tidy_four_autoplot() in R\n\n\n\n\n\n\n\nrtip\n\n\ntidydensity\n\n\ndplyr\n\n\npurrr\n\n\n\n\n\n\n\n\n\n\n\nMay 24, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nWhat is the sink() function? Capturing Output to External Files\n\n\n\n\n\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nMay 23, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nUpdate to {TidyDensity}\n\n\n\n\n\n\n\nrtip\n\n\ntidydensity\n\n\n\n\n\n\n\n\n\n\n\nMay 22, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMastering File Manipulation with R’s list.files() Function\n\n\n\n\n\n\n\nrtip\n\n\nfiles\n\n\n\n\n\n\n\n\n\n\n\nMay 19, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nThe which() Function in R\n\n\n\n\n\n\n\nrtip\n\n\nwhich\n\n\n\n\n\n\n\n\n\n\n\nMay 18, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nWorking with Dates and Times Pt 4\n\n\n\n\n\n\n\nrtip\n\n\ndatetime\n\n\n\n\n\n\n\n\n\n\n\nMay 17, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nWorking with Dates and Times Pt 3\n\n\n\n\n\n\n\nrtip\n\n\ndatetime\n\n\n\n\n\n\n\n\n\n\n\nMay 16, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nWorking with Dates and Times Pt 2: Finding the Next Mothers Day with Simplicity\n\n\n\n\n\n\n\nrtip\n\n\ndatetime\n\n\n\n\n\n\n\n\n\n\n\nMay 15, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nWorking with Dates and Times Pt 1\n\n\n\n\n\n\n\nrtip\n\n\ndatetime\n\n\n\n\n\n\n\n\n\n\n\nMay 12, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nVBA to R and Back Again: Running R from VBA Pt 2\n\n\n\n\n\n\n\nrtip\n\n\nvba\n\n\nexcel\n\n\n\n\n\n\n\n\n\n\n\nMay 10, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nVBA to R and Back Again: Running R from VBA\n\n\n\n\n\n\n\nrtip\n\n\nvba\n\n\nexcel\n\n\n\n\n\n\n\n\n\n\n\nMay 9, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nUpdates to {healthyR.data}\n\n\n\n\n\n\n\nrtip\n\n\nhealthyrdata\n\n\n\n\n\n\n\n\n\n\n\nMay 8, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMaps with {shiny} Pt 2\n\n\n\n\n\n\n\nrtip\n\n\nshiny\n\n\nmapping\n\n\n\n\n\n\n\n\n\n\n\nMay 5, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMaps with {shiny}\n\n\n\n\n\n\n\nrtip\n\n\nshiny\n\n\nmapping\n\n\n\n\n\n\n\n\n\n\n\nMay 4, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nHow to Download a File from the Internet using download.file()\n\n\n\n\n\n\n\nrtip\n\n\nshiny\n\n\nreadxl\n\n\nexcel\n\n\n\n\n\n\n\n\n\n\n\nMay 3, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExtracting a model call from a fitted workflow in {tidymodels}\n\n\n\n\n\n\n\nrtip\n\n\nshiny\n\n\ntidymodels\n\n\n\n\n\n\n\n\n\n\n\nMay 1, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nBuilding models with {shiny} and {tidyAML} Part 4\n\n\n\n\n\n\n\nrtip\n\n\nshiny\n\n\ntidymodels\n\n\ntidyaml\n\n\n\n\n\n\n\n\n\n\n\nApr 29, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nBuilding models with {shiny} and {tidyAML} Part 3\n\n\n\n\n\n\n\nrtip\n\n\nshiny\n\n\ntidymodels\n\n\ntidyaml\n\n\n\n\n\n\n\n\n\n\n\nApr 27, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nBuilding models with {shiny} and {tidyAML} Part 2\n\n\n\n\n\n\n\nrtip\n\n\nshiny\n\n\ntidymodels\n\n\ntidyaml\n\n\n\n\n\n\n\n\n\n\n\nApr 26, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nBuilding models with {shiny} and {tidyAML} Part 1\n\n\n\n\n\n\n\nrtip\n\n\nshiny\n\n\ntidymodels\n\n\ntidyaml\n\n\n\n\n\n\n\n\n\n\n\nApr 25, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExploring Distributions with {shiny}, {TidyDensity} and {plotly} Part 5\n\n\n\n\n\n\n\nrtip\n\n\nshiny\n\n\ntidydensity\n\n\nplotly\n\n\n\n\n\n\n\n\n\n\n\nApr 24, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExploring Distributions with {shiny} and {TidyDensity} Part 4\n\n\n\n\n\n\n\nrtip\n\n\nshiny\n\n\ntidydensity\n\n\n\n\n\n\n\n\n\n\n\nApr 21, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExploring Distributions with {shiny} and {TidyDensity} Part 3\n\n\n\n\n\n\n\nrtip\n\n\nshiny\n\n\ntidydensity\n\n\n\n\n\n\n\n\n\n\n\nApr 20, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExploring Distributions with {shiny} and {TidyDensity} Part 2\n\n\n\n\n\n\n\nrtip\n\n\nshiny\n\n\ntidydensity\n\n\n\n\n\n\n\n\n\n\n\nApr 19, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExploring Distributions with {shiny} and {TidyDensity}\n\n\n\n\n\n\n\nrtip\n\n\nshiny\n\n\ntidydensity\n\n\n\n\n\n\n\n\n\n\n\nApr 18, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nStyling Tables for Excel with {styledTables}\n\n\n\n\n\n\n\nrtip\n\n\nexcel\n\n\n\n\n\n\n\n\n\n\n\nApr 11, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nReading in Multiple Excel Sheets with lapply and {readxl}\n\n\n\n\n\n\n\nrtip\n\n\nreadxl\n\n\nlapply\n\n\nhealthyr\n\n\n\n\n\n\n\n\n\n\n\nApr 7, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nA New Package for the African Stock Market {BRVM}\n\n\n\n\n\n\n\nrtip\n\n\nbrvm\n\n\nmarkets\n\n\n\n\n\n\n\n\n\n\n\nApr 6, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nLooking at Daily Log Returns with tidyquant, TidyDensity, and Shiny\n\n\n\n\n\n\n\nrtip\n\n\nshiny\n\n\ntidydensity\n\n\ntidyquant\n\n\ntimeseries\n\n\n\n\n\n\n\n\n\n\n\nApr 5, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nA sample Shiny App to view Forecasts on the AirPassengers Data\n\n\n\n\n\n\n\nrtip\n\n\nshiny\n\n\ndata\n\n\ntimeseries\n\n\n\n\n\n\n\n\n\n\n\nApr 4, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nA sample Shiny App to view CMS Healthcare Data\n\n\n\n\n\n\n\nrtip\n\n\nshiny\n\n\ndata\n\n\nhealthcare\n\n\ncms\n\n\n\n\n\n\n\n\n\n\n\nApr 3, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nA Bootstrapped Time Series Model with auto.arima() from {forecast}\n\n\n\n\n\n\n\nrtip\n\n\ntimeseries\n\n\nbootstrap\n\n\n\n\n\n\n\n\n\n\n\nMar 29, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nHow fast does a compressed file in Part 2\n\n\n\n\n\n\n\nrtip\n\n\nbenchmark\n\n\narrow\n\n\nduckdb\n\n\ndatatable\n\n\nreadr\n\n\n\n\n\n\n\n\n\n\n\nMar 28, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nHow fast does a compressed file in?\n\n\n\n\n\n\n\nrtip\n\n\nbenchmark\n\n\n\n\n\n\n\n\n\n\n\nMar 27, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nHow fast do the files read in?\n\n\n\n\n\n\n\nrtip\n\n\nbenchmark\n\n\n\n\n\n\n\n\n\n\n\nMar 24, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSome Examples of Cumulative Mean with {TidyDensity}\n\n\n\n\n\n\n\nrtip\n\n\ntidydensity\n\n\n\n\n\n\n\n\n\n\n\nMar 22, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nGetting the CCI30 Index Current Makeup\n\n\n\n\n\n\n\ncrypto\n\n\ncci30\n\n\n\n\n\n\n\n\n\n\n\nMar 21, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nUse of the apply family of functions\n\n\n\n\n\n\n\nthanks\n\n\n\n\n\n\n\n\n\n\n\nMar 17, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nUse of the apply family of functions\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\napply\n\n\n\n\n\n\n\n\n\n\n\nMar 10, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMultiple Solutions to speedup tidy_bernoulli() with {data.table}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntidydensity\n\n\ndatatable\n\n\n\n\n\n\n\n\n\n\n\nMar 9, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nGetting NYS Home Heating Oil Prices with {rvest}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nrvest\n\n\n\n\n\n\n\n\n\n\n\nMar 8, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\ntidy_bernoulli() with {data.table}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ndatatable\n\n\n\n\n\n\n\n\n\n\n\nMar 7, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSimple examples of imap() from {purrr}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\npurrr\n\n\n\n\n\n\n\n\n\n\n\nMar 6, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSimple examples of pmap() from {purrr}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\npurrr\n\n\n\n\n\n\n\n\n\n\n\nMar 3, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nForecasting Timeseries in a list with R\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\npurrr\n\n\ntimeseries\n\n\n\n\n\n\n\n\n\n\n\nMar 2, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nText Processing Made Easy with {healthyR}’s sql_left(), sql_mid(), and sql_right() Functions in R\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nsql\n\n\nhealthyr\n\n\n\n\n\n\n\n\n\n\n\nMar 1, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nOpen a File Folder in R\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nshell\n\n\n\n\n\n\n\n\n\n\n\nFeb 28, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nQuickly Generate Nested Time Series Models\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntimeseries\n\n\nautoarima\n\n\n\n\n\n\n\n\n\n\n\nFeb 27, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nData Preppers with {healthyR.ai}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrai\n\n\npreprocessor\n\n\n\n\n\n\n\n\n\n\n\nFeb 24, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCalibrate and Plot a Time Series with {healthyR.ts}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrts\n\n\ntimeseries\n\n\n\n\n\n\n\n\n\n\n\nFeb 22, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nConverting a {tidyAML} tibble to a {workflowsets}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntidyaml\n\n\nworkflowsets\n\n\ntidymodels\n\n\n\n\n\n\n\n\n\n\n\nFeb 17, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nOfficially on CRAN {tidyAML}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntidyaml\n\n\n\n\n\n\n\n\n\n\n\nFeb 16, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMoving Average Plots with {healthyR.ts}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntimeseries\n\n\nhealthyrts\n\n\n\n\n\n\n\n\n\n\n\nFeb 15, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nAn example of using {box}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nbox\n\n\n\n\n\n\n\n\n\n\n\nFeb 14, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nOff to CRAN! {tidyAML}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntidyaml\n\n\ntidymodels\n\n\n\n\n\n\n\n\n\n\n\nFeb 13, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nGet the Current Hospital Data Set from CMS with {healthyR.data}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrdata\n\n\n\n\n\n\n\n\n\n\n\nFeb 10, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCreating and Predicting Fast Regression Parsnip Models with {tidyAML}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntidyaml\n\n\n\n\n\n\n\n\n\n\n\nFeb 9, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCreating an R Project Directory\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nFeb 8, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSubsetting Named Lists in R\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nlist\n\n\n\n\n\n\n\n\n\n\n\nFeb 7, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCumulative Measurement Functions with {TidyDensity}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntidydensity\n\n\n\n\n\n\n\n\n\n\n\nFeb 6, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nThe Argument Matcher: A Function for Selecting the Right Arguments {tidyAML}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nlist\n\n\ntidyaml\n\n\ntidymodels\n\n\n\n\n\n\n\n\n\n\n\nFeb 3, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nDiverging Lollipop Chart: A Visual Tool for Comparing Data with {healthyR}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyr\n\n\nplots\n\n\n\n\n\n\n\n\n\n\n\nFeb 2, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nAttributes in R Functions: An Overview\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nmetadata\n\n\nattributes\n\n\n\n\n\n\n\n\n\n\n\nFeb 1, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMedian: A Simple Way to Detect Excess Events Over Time with {healthyR}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntimeseries\n\n\nhealthyr\n\n\n\n\n\n\n\n\n\n\n\nJan 31, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\n{healthyR.ts}: The New and Improved Library for Time Series Analysis\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntimeseries\n\n\nhealthyrts\n\n\n\n\n\n\n\n\n\n\n\nJan 30, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nService Line Grouping with {healthyR}\n\n\n\n\n\n\n\ncode\n\n\nweeklytip\n\n\naugment\n\n\nhealthyr\n\n\n\n\n\n\n\n\n\n\n\nJan 27, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nTransforming Your Data: A Guide to Popular Methods and How to Implement Them with {healthyR.ai}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntransforms\n\n\nhealthyrai\n\n\n\n\n\n\n\n\n\n\n\nJan 26, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSimplifying List Filtering in R with purrr’s keep()\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nlists\n\n\npurrr\n\n\n\n\n\n\n\n\n\n\n\nJan 25, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMaking Non Stationary Data Stationary\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nlists\n\n\ntimeseries\n\n\n\n\n\n\n\n\n\n\n\nJan 24, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nADF and Phillips-Perron Tests for Stationarity using lists\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nlists\n\n\ntimeseries\n\n\nlapply\n\n\n\n\n\n\n\n\n\n\n\nJan 23, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nAnother Post on Lists\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nlists\n\n\n\n\n\n\n\n\n\n\n\nJan 20, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nBoilerplate XGBoost with {healthyR.ai}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nxgboost\n\n\nhealthyrai\n\n\n\n\n\n\n\n\n\n\n\nJan 19, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nGeometric Brownian Motion with {healthyR.ts}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntimeseries\n\n\nhealthyrts\n\n\n\n\n\n\n\n\n\n\n\nJan 18, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nAugmenting a Brownian Motion to a Time Series with {healthyR.ts}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntimeseries\n\n\nhealthyrts\n\n\n\n\n\n\n\n\n\n\n\nJan 17, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nAuto K-Means with {healthyR.ai}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nkmeans\n\n\nhealthyrai\n\n\n\n\n\n\n\n\n\n\n\nJan 16, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nThe building of {tidyAML}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntidyaml\n\n\npurrr\n\n\n\n\n\n\n\n\n\n\n\nJan 13, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nAn Update on {tidyAML}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntidyaml\n\n\nautoml\n\n\n\n\n\n\n\n\n\n\n\nJan 12, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nReflecting on the Past Year: A LinkedIn Year in Review\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nlinkedin\n\n\n\n\n\n\n\n\n\n\n\nJan 11, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nOptimal Break Points for Histograms with {healthyR}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyr\n\n\nhistograms\n\n\n\n\n\n\n\n\n\n\n\nJan 10, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nNew Release of {healthyR.ts}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrts\n\n\n\n\n\n\n\n\n\n\n\nJan 9, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nBrownian Motion\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nweeklytip\n\n\n\n\n\n\n\n\n\n\n\nJan 6, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMore Randomwalks with {TidyDensity}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntidydensity\n\n\nrandomwalk\n\n\n\n\n\n\n\n\n\n\n\nJan 5, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCalendar Heatmap with {healthyR.ts}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrts\n\n\ntimeseries\n\n\n\n\n\n\n\n\n\n\n\nJan 3, 2023\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nEvent Analysis with {healthyR.ts}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrts\n\n\ntimeseries\n\n\n\n\n\n\n\n\n\n\n\nDec 30, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nGartner Magic Chart and its usefulness in healthcare analytics with {healthyR}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyr\n\n\n\n\n\n\n\n\n\n\n\nDec 29, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSimulating Time Series Model Forecasts with {healthyR.ts}\n\n\n\n\n\n\n\ncode\n\n\nweeklytip\n\n\nhealthyrts\n\n\ntimeseries\n\n\nsimulation\n\n\n\n\n\n\n\n\n\n\n\nDec 23, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nListing Functions and Parameters\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ndplyr\n\n\n\n\n\n\n\n\n\n\n\nDec 22, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nDistribution Statistics with {TidyDensity}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntidydensity\n\n\n\n\n\n\n\n\n\n\n\nDec 21, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nRandom Walks with {TidyDensity}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nrandomwalk\n\n\ntidydensity\n\n\n\n\n\n\n\n\n\n\n\nDec 20, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nViewing Different Versions of the Same Statistical Distribution with {TidyDensity}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ndistributions\n\n\ntidydensity\n\n\n\n\n\n\n\n\n\n\n\nDec 19, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nModel Scedacity Plots with {healthyR.ts}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntimeseries\n\n\nhealthyrts\n\n\n\n\n\n\n\n\n\n\n\nDec 16, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSimple Moving Average Plots with {healthyR.ts}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntimeseries\n\n\nhealthyrts\n\n\n\n\n\n\n\n\n\n\n\nDec 15, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nDistribution Summaries with {TidyDensity}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntidydensity\n\n\n\n\n\n\n\n\n\n\n\nDec 14, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMixture Distributions with {TidyDensity}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntidydensity\n\n\nmixturemodels\n\n\n\n\n\n\n\n\n\n\n\nDec 13, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCreate QQ Plots for Time Series Models with {healthyR.ts}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntimeseries\n\n\nhealthyrts\n\n\n\n\n\n\n\n\n\n\n\nDec 9, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCreate a Faceted Historgram Plot with {healthyR.ai}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhistograms\n\n\nhealthyrai\n\n\n\n\n\n\n\n\n\n\n\nDec 8, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCreate Multiple {parsnip} Model Specs with {purrr}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nparsnip\n\n\npurrr\n\n\n\n\n\n\n\n\n\n\n\nDec 7, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nZ-Score Scaling Step Recipe with {healthyR.ai}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrai\n\n\nrecipes\n\n\n\n\n\n\n\n\n\n\n\nDec 6, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nNaming Items in a List with {purrr}, {dplyr}, or {healthyR}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\npurrr\n\n\nhealthyr\n\n\n\n\n\n\n\n\n\n\n\nDec 5, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nAuto KNN with {healthyR.ai}\n\n\n\n\n\n\n\ncode\n\n\nweeklytip\n\n\nknn\n\n\nhealthyrai\n\n\n\n\n\n\n\n\n\n\n\nDec 2, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nExtract Boilerplate Workflow Metrics with {healthyR.ai}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrai\n\n\n\n\n\n\n\n\n\n\n\nDec 1, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nGenerate Random Walk Data with {healthyR.ts}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntimeseries\n\n\nhealthyrts\n\n\n\n\n\n\n\n\n\n\n\nNov 30, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nWorking with Lists\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nlists\n\n\nlapply\n\n\n\n\n\n\n\n\n\n\n\nNov 29, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nDefault Metric Sets with {healthyR.ai}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrai\n\n\n\n\n\n\n\n\n\n\n\nNov 28, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSummary Statistics with {TidyDensity}\n\n\n\n\n\n\n\ncode\n\n\nweeklytip\n\n\ntidydensity\n\n\ndatatable\n\n\n\n\n\n\n\n\n\n\n\nNov 23, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nData Preprocessing Scale/Normalize with {healthyR.ai}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrai\n\n\nrecipes\n\n\n\n\n\n\n\n\n\n\n\nNov 22, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nBootstrap Modeling with Base R\n\n\n\n\n\n\n\ncode\n\n\nbootstrap\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nNov 21, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nUpdates to {healthyverse} packages\n\n\n\n\n\n\n\ncode\n\n\nweeklytip\n\n\nhealthyverse\n\n\n\n\n\n\n\n\n\n\n\nNov 18, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nBootstrap Modeling with {purrr} and {modler}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\npurrr\n\n\nmodelr\n\n\n\n\n\n\n\n\n\n\n\nNov 17, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCumulative Harmonic Mean with {TidyDensity}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ntidydensity\n\n\n\n\n\n\n\n\n\n\n\nNov 16, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nAuto Prep data for XGBoost with {healthyR.ai}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrai\n\n\nxgboost\n\n\n\n\n\n\n\n\n\n\n\nNov 15, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nFind Skewed Features with {healthyR.ai}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrai\n\n\nskew\n\n\n\n\n\n\n\n\n\n\n\nNov 14, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nTime Series Lag Correlation Plots\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrts\n\n\nweeklytip\n\n\n\n\n\n\n\n\n\n\n\nNov 11, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nReading Multiple Files with {purrr}\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\npurrr\n\n\n\n\n\n\n\n\n\n\n\nNov 10, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nMapping K-Means with healthyR.ai\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrai\n\n\nkmeans\n\n\n\n\n\n\n\n\n\n\n\nNov 9, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nHyperbolic Transform with healthyR.ai\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrai\n\n\n\n\n\n\n\n\n\n\n\nNov 8, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nDiscrete Fourier Vec with healthyR.ai\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrai\n\n\n\n\n\n\n\n\n\n\n\nNov 7, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nBootstrapping and Plots with TidyDensity\n\n\n\n\n\n\n\ncode\n\n\ntidydensity\n\n\nbootstrap\n\n\nweeklytip\n\n\n\n\n\n\n\n\n\n\n\nNov 4, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCumulative Skewness\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\n\n\n\n\n\n\n\n\n\nOct 31, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nPCA with healthyR.ai\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrai\n\n\nweeklytip\n\n\n\n\n\n\n\n\n\n\n\nOct 28, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nControl Charts in healthyR.ai\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nhealthyrai\n\n\n\n\n\n\n\n\n\n\n\nOct 26, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nCumulative Variance\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\ncumulative\n\n\nsapply\n\n\nlapply\n\n\n\n\n\n\n\n\n\n\n\nOct 24, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nTime Series Clustering with healthyR.ts\n\n\n\n\n\n\n\ncode\n\n\nweeklytip\n\n\nhealthyrts\n\n\n\n\n\n\n\n\n\n\n\nOct 21, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nhealthyR.ai Primer\n\n\n\n\n\n\n\ncode\n\n\nweeklytip\n\n\nhealthyrai\n\n\n\n\n\n\n\n\n\n\n\nOct 13, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nTidyDensity Primer\n\n\n\n\n\n\n\ncode\n\n\nweeklytip\n\n\ntidydensity\n\n\n\n\n\n\n\n\n\n\n\nOct 7, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nSimple lapply()\n\n\n\n\n\n\n\ncode\n\n\nrtip\n\n\nweeklytip\n\n\n\n\n\n\n\n\n\n\n\nOct 5, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\n  \n\n\n\n\nWelcome To Steve On Data\n\n\n\n\n\n\n\nnews\n\n\n\n\n\n\n\n\n\n\n\nOct 5, 2022\n\n\nSteven P. Sanderson II, MPH\n\n\n\n\n\n\nNo matching items"
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@@ -3876,5 +3876,61 @@
     "title": "How to Predict a Single Value Using a Regression Model in R",
     "section": "",
     "text": "Introduction\nRegression models are a powerful tool for predicting future values based on historical data. They are used in a wide range of industries, including finance, healthcare, and marketing. In this blog post, we will learn how to predict a single value using a regression model in R. We will use the mtcars dataset, which contains information about cars, including their weight, horsepower, and fuel efficiency.\n\n\nBuilding a Linear Regression Model\nThe first step in predicting a single value is to build a regression model. We can do this using the lm() function in R. The lm() function takes two arguments: a formula and a data frame. The formula specifies the relationship between the dependent variable (the variable we want to predict) and the independent variables (the variables we use to predict the dependent variable). The data frame contains the values of the dependent and independent variables.\nTo build a linear regression model to predict the fuel efficiency of a car based on its weight and horsepower, we would use the following code:\n\n# Create a linear regression model\nmodel &lt;- lm(mpg ~ wt + hp, data = mtcars)\n\nThe model object now contains the fitted regression model. We can inspect the model by using the summary() function.\n\nsummary(model)\n\n\nCall:\nlm(formula = mpg ~ wt + hp, data = mtcars)\n\nResiduals:\n   Min     1Q Median     3Q    Max \n-3.941 -1.600 -0.182  1.050  5.854 \n\nCoefficients:\n            Estimate Std. Error t value Pr(&gt;|t|)    \n(Intercept) 37.22727    1.59879  23.285  &lt; 2e-16 ***\nwt          -3.87783    0.63273  -6.129 1.12e-06 ***\nhp          -0.03177    0.00903  -3.519  0.00145 ** \n---\nSignif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n\nResidual standard error: 2.593 on 29 degrees of freedom\nMultiple R-squared:  0.8268,    Adjusted R-squared:  0.8148 \nF-statistic: 69.21 on 2 and 29 DF,  p-value: 9.109e-12\n\n\nThe output of the summary() function shows the estimated coefficients, standard errors, and p-values for the independent variables in the model. The coefficients represent the change in the dependent variable for a one-unit increase in the independent variable, holding all other variables constant.\n\n\nPredicting a Single Value\nOnce we have fitted a regression model, we can use it to predict single values. We can do this using the predict() function. The predict() function takes two arguments: the fitted model and a new data frame containing the values of the independent variables for which we want to make predictions.\nTo predict the fuel efficiency of a car with a weight of 3,000 pounds and a horsepower of 150, we would use the following code:\n\n# Create a new data frame containing the values of the independent \n# variables for which we want to make predictions\nnewdata &lt;- data.frame(wt = 3, hp = 150) # Wt is in 1000 lbs\n\n# Predict the fuel efficiency of the car\nprediction &lt;- predict(model, newdata)\n\n# Print the predicted fuel efficiency\nprint(prediction)\n\n       1 \n20.82784 \n\n\nThe output of the predict() function is a vector containing the predicted values for the dependent variable. In this case, the predicted fuel efficiency is 20.8278358 miles per gallon.\n\n\nConclusion\nIn this blog post, we have learned how to predict a single value using a regression model in R. We used the mtcars dataset to build a linear regression model to predict the fuel efficiency of a car based on its weight and horsepower. We then used the predict() function to predict the fuel efficiency of a car with a specific weight and horsepower.\n\n\nTry It Yourself\nNow that you know how to predict a single value using a regression model in R, try it yourself! Here are some ideas:\n\nBuild a linear regression model to predict the price of a house based on its size and number of bedrooms.\nBuild a linear regression model to predict the salary of a person based on their education level and years of experience.\nBuild a linear regression model to predict the number of customers that will visit a store on a given day based on the day of the week and the weather forecast.\n\nOnce you have built a regression model, you can use it to predict single values for new data. This can be a valuable tool for making decisions about the future."
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+    "href": "posts/2023-11-15/index.html",
+    "title": "How to Perform Multiple Linear Regression in R",
+    "section": "",
+    "text": "Multiple linear regression is a powerful statistical method that allows us to examine the relationship between a dependent variable and multiple independent variables."
+  },
+  {
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+    "title": "How to Perform Multiple Linear Regression in R",
+    "section": "Step 1: Load the dataset",
+    "text": "Step 1: Load the dataset\n# Load the mtcars dataset\ndata(mtcars)"
+  },
+  {
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+    "title": "How to Perform Multiple Linear Regression in R",
+    "section": "Step 2: Build the model",
+    "text": "Step 2: Build the model\nNow, let’s create the multiple linear regression model using the specified variables: disp, hp, and drat.\n\n# Build the multiple linear regression model\nmodel &lt;- lm(mpg ~ disp + hp + drat, data = mtcars)"
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+    "title": "How to Perform Multiple Linear Regression in R",
+    "section": "Step 3: Examine the data",
+    "text": "Step 3: Examine the data\nIt’s always a good idea to take a look at the relationships between variables before diving into the model. The pairs() function helps us with that.\n\n# Examine relationships between variables\npairs(mtcars[,c(\"mpg\",\"disp\",\"hp\",\"drat\")])"
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+    "title": "How to Perform Multiple Linear Regression in R",
+    "section": "Step 4: Check for multicollinearity",
+    "text": "Step 4: Check for multicollinearity\nMulticollinearity is when independent variables in a regression model are highly correlated. It can affect the stability and reliability of our model. Keep an eye on the scatterplots in the pairs plot to get a sense of this."
+  },
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+    "title": "How to Perform Multiple Linear Regression in R",
+    "section": "Step 5: Plot the residuals",
+    "text": "Step 5: Plot the residuals\nNow, let’s check the model’s residuals using a scatterplot. Residuals are the differences between observed and predicted values. They should ideally show no pattern.\n\n# Plot the residuals\nplot(\n  model$residuals, \n  main = \"Residuals vs Fitted Values\", \n  xlab = \"Fitted Values\", \n  ylab = \"Residuals\"\n  )"
+  },
+  {
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+    "title": "How to Perform Multiple Linear Regression in R",
+    "section": "Step 6: Evaluate the model",
+    "text": "Step 6: Evaluate the model\nBy examining the residuals vs. fitted values plot, we can identify patterns that may suggest non-linearity or heteroscedasticity. Ideally, residuals should be randomly scattered."
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+    "title": "How to Perform Multiple Linear Regression in R",
+    "section": "Step 7: Encourage readers to try it themselves",
+    "text": "Step 7: Encourage readers to try it themselves\nI’d encourage readers to take the code snippets, run them in their R environment, and explore. Maybe try different variables, tweak the model, or even use another dataset. Hands-on experience is the best teacher!\nRemember, understanding the data and interpreting the results is as important as running the code. It’s a fascinating journey into uncovering patterns and relationships within your data.\nFeel free to reach out if you have any questions or if there’s anything specific you’d like to explore further. Happy coding!"
   }
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index 4b71b6b5..55f83d58 100644
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+  <url>
+    <loc>https://www.spsanderson.com/steveondata/posts/2023-11-15/index.html</loc>
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diff --git a/posts/2023-11-15/index.qmd b/posts/2023-11-15/index.qmd
new file mode 100644
index 00000000..993c3856
--- /dev/null
+++ b/posts/2023-11-15/index.qmd
@@ -0,0 +1,67 @@
+---
+title: "How to Perform Multiple Linear Regression in R"
+author: "Steven P. Sanderson II, MPH"
+date: "2023-11-15"
+categories: [rtip]
+---
+
+# Introduction
+
+Multiple linear regression is a powerful statistical method that allows us to examine the relationship between a dependent variable and multiple independent variables.
+
+# Example
+
+## Step 1: Load the dataset
+
+```R
+# Load the mtcars dataset
+data(mtcars)
+```
+
+## Step 2: Build the model
+
+Now, let's create the multiple linear regression model using the specified variables: disp, hp, and drat.
+
+```{r}
+# Build the multiple linear regression model
+model <- lm(mpg ~ disp + hp + drat, data = mtcars)
+```
+
+## Step 3: Examine the data
+
+It's always a good idea to take a look at the relationships between variables before diving into the model. The `pairs()` function helps us with that.
+
+```{r}
+# Examine relationships between variables
+pairs(mtcars[,c("mpg","disp","hp","drat")])
+```
+
+## Step 4: Check for multicollinearity
+
+Multicollinearity is when independent variables in a regression model are highly correlated. It can affect the stability and reliability of our model. Keep an eye on the scatterplots in the pairs plot to get a sense of this.
+
+## Step 5: Plot the residuals
+
+Now, let's check the model's residuals using a scatterplot. Residuals are the differences between observed and predicted values. They should ideally show no pattern.
+
+```{r}
+# Plot the residuals
+plot(
+  model$residuals, 
+  main = "Residuals vs Fitted Values", 
+  xlab = "Fitted Values", 
+  ylab = "Residuals"
+  )
+```
+
+## Step 6: Evaluate the model
+
+By examining the residuals vs. fitted values plot, we can identify patterns that may suggest non-linearity or heteroscedasticity. Ideally, residuals should be randomly scattered.
+
+## Step 7: Encourage readers to try it themselves
+
+I'd encourage readers to take the code snippets, run them in their R environment, and explore. Maybe try different variables, tweak the model, or even use another dataset. Hands-on experience is the best teacher!
+
+Remember, understanding the data and interpreting the results is as important as running the code. It's a fascinating journey into uncovering patterns and relationships within your data.
+
+Feel free to reach out if you have any questions or if there's anything specific you'd like to explore further. Happy coding!
\ No newline at end of file