link to purled Code

Author: SchmidtPaul

.Rproj.user/6F6C4B3A/sources/prop/4566BC63

@@ -1,4 +1,4 @@
 {
-    "cursorPosition" : "14,28",
-    "scrollLine" : "0"
+    "cursorPosition" : "26,0",
+    "scrollLine" : "8"
 }

glmmtmbdispformula0.Rmd

@@ -3,6 +3,7 @@ title: "Covariance structures for the error term with glmmTMB - a workaround"
 output: 
   html_document:
     includes:
+      in_header: header.html
       after_body: footer.html						 
 ---
 ```{r, echo=F, purl=T, message=F, error=F}
@@ -315,7 +316,7 @@ Check out [the GitHub issue](https://github.com/glmmTMB/glmmTMB/issues/653){targ
 
 # Mooore Details!
 
- * If you are wondering how to **extract the variance component estimates** as I did for example 2 and you are mad that I did not show the code, click there to find the R-code of this document. 
+ * If you are wondering how to **extract the variance component estimates** as I did for example 2 and you are mad that I did not show the code,  [click here](https://github.com/SchmidtPaul/MMFAIR/blob/master/Rpurl/glmmtmbdispformula0.R){target="_blank"} to find the R-code of this document. 
  * Check out the chapters on this website to see more/other uses of this approach.
 
 

glmmtmbdispformula0.html

@@ -25,6 +25,50 @@
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 <script src="site_libs/kePrint-0.0.1/kePrint.js"></script>
 <link href="site_libs/lightable-0.0.1/lightable.css" rel="stylesheet" />
+<!--All these are favicons-->
+<link rel="apple-touch-icon" sizes="180x180" href="img/logo/apple-touch-icon.png">
+<link rel="icon" type="image/png" sizes="32x32" href="img/logo/favicon-32x32.png">
+<link rel="icon" type="image/png" sizes="16x16" href="img/logo/favicon-16x16.png">
+<link rel="manifest" href="img/logo/site.webmanifest">
+<link rel="mask-icon" href="img/logo/safari-pinned-tab.svg" color="#5bbad5">
+<link rel="shortcut icon" href="img/logo/favicon.ico">
+<meta name="msapplication-TileColor" content="#2d89ef">
+<meta name="msapplication-config" content="img/logo/browserconfig.xml">
+<meta name="theme-color" content="#ffffff">
+
+<!--Github Corner-->
+<a href="https://github.com/SchmidtPaul/MMFAIR" class="github-corner" aria-label="View source on GitHub"><svg width="80" height="80" viewBox="0 0 250 250" style="fill:#003f75ff; color:#fff; position: absolute; top: 50; border: 0; right: 0;" aria-hidden="true"><path d="M0,0 L115,115 L130,115 L142,142 L250,250 L250,0 Z"></path><path d="M128.3,109.0 C113.8,99.7 119.0,89.6 119.0,89.6 C122.0,82.7 120.5,78.6 120.5,78.6 C119.2,72.0 123.4,76.3 123.4,76.3 C127.3,80.9 125.5,87.3 125.5,87.3 C122.9,97.6 130.6,101.9 134.4,103.2" fill="currentColor" style="transform-origin: 130px 106px;" class="octo-arm"></path><path d="M115.0,115.0 C114.9,115.1 118.7,116.5 119.8,115.4 L133.7,101.6 C136.9,99.2 139.9,98.4 142.2,98.6 C133.8,88.0 127.5,74.4 143.8,58.0 C148.5,53.4 154.0,51.2 159.7,51.0 C160.3,49.4 163.2,43.6 171.4,40.1 C171.4,40.1 176.1,42.5 178.8,56.2 C183.1,58.6 187.2,61.8 190.9,65.4 C194.5,69.0 197.7,73.2 200.1,77.6 C213.8,80.2 216.3,84.9 216.3,84.9 C212.7,93.1 206.9,96.0 205.4,96.6 C205.1,102.4 203.0,107.8 198.3,112.5 C181.9,128.9 168.3,122.5 157.7,114.1 C157.9,116.9 156.7,120.9 152.7,124.9 L141.0,136.5 C139.8,137.7 141.6,141.9 141.8,141.8 Z" fill="currentColor" class="octo-body"></path></svg></a><style>.github-corner:hover .octo-arm{animation:octocat-wave 560ms ease-in-out}@keyframes octocat-wave{0%,100%{transform:rotate(0)}20%,60%{transform:rotate(-25deg)}40%,80%{transform:rotate(10deg)}}@media (max-width:500px){.github-corner:hover .octo-arm{animation:none}.github-corner .octo-arm{animation:octocat-wave 560ms ease-in-out}}</style>
+
+<!--SAS syntax highlighting-->
+<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/codemirror/5.31.0/codemirror.min.css">
+<script src="https://cdnjs.cloudflare.com/ajax/libs/codemirror/5.31.0/codemirror.min.js"></script>
+<style>
+  .CodeMirror {
+    border: 1px solid #eee;
+    height: auto;
+  }
+</style>
+
+<!--Metatags = preview image when linking to social media-->
+
+<!-- Primary Meta Tags -->
+<!-- <title>Mixed Models for Agriculture in R</title> -->
+<!-- <meta name="title" content="Mixed Models for Agriculture in R">  -->
+<meta name="description" content="Our aim is to provide a cookbook with mixed model analyses of typical examples in life sciences (focus on agriculture/biology) and compare the possibilities or rather limitations of the R-packages nlme, lme4, glmmTMB and sommer to each other, but also to SAS’ PROC MIXED.">
+
+<!-- Open Graph / Facebook -->
+<meta property="og:type" content="website">
+<meta property="og:url" content="https://schmidtpaul.github.io/MMFAIR/index.html">
+<meta property="og:title" content="Mixed Models for Agriculture in R">
+<meta property="og:description" content="Our aim is to provide a cookbook with mixed model analyses of typical examples in life sciences (focus on agriculture/biology) and compare the possibilities or rather limitations of the R-packages nlme, lme4, glmmTMB and sommer to each other, but also to SAS’ PROC MIXED.">
+<meta property="og:image" content="img/logo/ScreenshotIndex.PNG">
+
+<!-- Twitter -->
+<meta property="twitter:card" content="summary_large_image">
+<meta property="twitter:url" content="https://schmidtpaul.github.io/MMFAIR/index.html">
+<meta property="twitter:title" content="Mixed Models for Agriculture in R">
+<meta property="twitter:description" content="Our aim is to provide a cookbook with mixed model analyses of typical examples in life sciences (focus on agriculture/biology) and compare the possibilities or rather limitations of the R-packages nlme, lme4, glmmTMB and sommer to each other, but also to SAS’ PROC MIXED.">
+<meta property="twitter:image" content="img/logo/ScreenshotIndex.PNG">
 
 <style type="text/css">
   code{white-space: pre-wrap;}
@@ -1043,7 +1087,7 @@ <h1>More Details!</h1>
 <div id="mooore-details" class="section level1">
 <h1>Mooore Details!</h1>
 <ul>
-<li>If you are wondering how to <strong>extract the variance component estimates</strong> as I did for example 2 and you are mad that I did not show the code, click there to find the R-code of this document.</li>
+<li>If you are wondering how to <strong>extract the variance component estimates</strong> as I did for example 2 and you are mad that I did not show the code, <a href="https://github.com/SchmidtPaul/MMFAIR/blob/master/Rpurl/glmmtmbdispformula0.R" target="_blank">click here</a> to find the R-code of this document.</li>
 <li>Check out the chapters on this website to see more/other uses of this approach.</li>
 </ul>
 </div>