diff options
| author | Johannes Ranke <jranke@uni-bremen.de> | 2022-03-02 18:03:54 +0100 |
|---|---|---|
| committer | Johannes Ranke <jranke@uni-bremen.de> | 2022-03-02 18:03:54 +0100 |
| commit | 2bb59c88d49b193f278916ad9cc4de83c0de9604 (patch) | |
| tree | f286bba254d7c5f2d32eeb2b11f6148938b0e1e1 /docs/reference/synthetic_data_for_UBA_2014.html | |
| parent | 351248d07f810ccb6c497633a02cd48ee35526e6 (diff) | |
Make tests more platform independent, update docs
Diffstat (limited to 'docs/reference/synthetic_data_for_UBA_2014.html')
| -rw-r--r-- | docs/reference/synthetic_data_for_UBA_2014.html | 645 |
1 files changed, 296 insertions, 349 deletions
diff --git a/docs/reference/synthetic_data_for_UBA_2014.html b/docs/reference/synthetic_data_for_UBA_2014.html index c37b986e..7d79341c 100644 --- a/docs/reference/synthetic_data_for_UBA_2014.html +++ b/docs/reference/synthetic_data_for_UBA_2014.html @@ -1,46 +1,5 @@ -<!-- Generated by pkgdown: do not edit by hand --> <!DOCTYPE html> -<html lang="en"> - <head> - <meta charset="utf-8"> -<meta http-equiv="X-UA-Compatible" content="IE=edge"> -<meta name="viewport" content="width=device-width, initial-scale=1.0"> - -<title>Synthetic datasets for one parent compound with two metabolites — synthetic_data_for_UBA_2014 • mkin</title> - - -<!-- jquery --> -<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script> -<!-- Bootstrap --> - -<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous" /> - -<script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script> - -<!-- bootstrap-toc --> -<link rel="stylesheet" href="../bootstrap-toc.css"> -<script src="../bootstrap-toc.js"></script> - -<!-- Font Awesome icons --> -<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous" /> -<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous" /> - -<!-- clipboard.js --> -<script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script> - -<!-- headroom.js --> -<script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script> -<script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script> - -<!-- pkgdown --> -<link href="../pkgdown.css" rel="stylesheet"> -<script src="../pkgdown.js"></script> - - - - -<meta property="og:title" content="Synthetic datasets for one parent compound with two metabolites — synthetic_data_for_UBA_2014" /> -<meta property="og:description" content="The 12 datasets were generated using four different models and three different +<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>Synthetic datasets for one parent compound with two metabolites — synthetic_data_for_UBA_2014 • mkin</title><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="Synthetic datasets for one parent compound with two metabolites — synthetic_data_for_UBA_2014"><meta property="og:description" content="The 12 datasets were generated using four different models and three different variance components. The four models are either the SFO or the DFOP model with either two sequential or two parallel metabolites. Variance component 'a' is based on a normal distribution with standard deviation of 3, @@ -55,28 +14,14 @@ Initial concentrations for metabolites and all values where adding the variance in a value below the assumed limit of detection of 0.1 were set to NA. As an example, the first dataset has the title SFO_lin_a and is based on the SFO model with two sequential metabolites (linear pathway), with added variance component 'a'. -Compare also the code in the example section to see the degradation models." /> - - - - -<!-- mathjax --> -<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script> -<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script> - -<!--[if lt IE 9]> +Compare also the code in the example section to see the degradation models."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]> <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script> <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script> -<![endif]--> - - - - </head> +<![endif]--></head><body data-spy="scroll" data-target="#toc"> + - <body data-spy="scroll" data-target="#toc"> <div class="container template-reference-topic"> - <header> - <div class="navbar navbar-default navbar-fixed-top" role="navigation"> + <header><div class="navbar navbar-default navbar-fixed-top" role="navigation"> <div class="container"> <div class="navbar-header"> <button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar" aria-expanded="false"> @@ -87,13 +32,12 @@ Compare also the code in the example section to see the degradation models." /> </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">1.0.3</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">1.1.0</span> </span> </div> <div id="navbar" class="navbar-collapse collapse"> - <ul class="nav navbar-nav"> - <li> + <ul class="nav navbar-nav"><li> <a href="../reference/index.html">Functions and data</a> </li> <li class="dropdown"> @@ -102,8 +46,7 @@ Compare also the code in the example section to see the degradation models." /> <span class="caret"></span> </a> - <ul class="dropdown-menu" role="menu"> - <li> + <ul class="dropdown-menu" role="menu"><li> <a href="../articles/mkin.html">Introduction to mkin</a> </li> <li> @@ -113,6 +56,9 @@ Compare also the code in the example section to see the degradation models." /> <a href="../articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a> </li> <li> + <a href="../articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a> + </li> + <li> <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a> </li> <li> @@ -127,30 +73,23 @@ Compare also the code in the example section to see the degradation models." /> <li> <a href="../articles/web_only/benchmarks.html">Some benchmark timings</a> </li> - </ul> -</li> + </ul></li> <li> <a href="../news/index.html">News</a> </li> - </ul> - <ul class="nav navbar-nav navbar-right"> - <li> - <a href="https://github.com/jranke/mkin/"> + </ul><ul class="nav navbar-nav navbar-right"><li> + <a href="https://github.com/jranke/mkin/" class="external-link"> <span class="fab fa-github fa-lg"></span> </a> </li> - </ul> - - </div><!--/.nav-collapse --> + </ul></div><!--/.nav-collapse --> </div><!--/.container --> </div><!--/.navbar --> - </header> - -<div class="row"> + </header><div class="row"> <div class="col-md-9 contents"> <div class="page-header"> <h1>Synthetic datasets for one parent compound with two metabolites</h1> @@ -177,300 +116,308 @@ Compare also the code in the example section to see the degradation models." /> <p>Compare also the code in the example section to see the degradation models.</p> </div> - <pre class="usage"><span class='va'>synthetic_data_for_UBA_2014</span></pre> + <div id="ref-usage"> + <div class="sourceCode"><pre class="sourceCode r"><code><span class="va">synthetic_data_for_UBA_2014</span></code></pre></div> + </div> + <div id="format"> + <h2>Format</h2> + <p>A list containing twelve datasets as an R6 class defined by <code><a href="mkinds.html">mkinds</a></code>, + each containing, among others, the following components</p><dl><dt><code>title</code></dt> +<dd><p>The name of the dataset, e.g. <code>SFO_lin_a</code></p></dd> - <h2 class="hasAnchor" id="format"><a class="anchor" href="#format"></a>Format</h2> + <dt><code>data</code></dt> +<dd><p>A data frame with the data in the form expected by <code><a href="mkinfit.html">mkinfit</a></code></p></dd> - <p>A list containing twelve datasets as an R6 class defined by <code><a href='mkinds.html'>mkinds</a></code>, - each containing, among others, the following components</p><dl> - <dt><code>title</code></dt><dd><p>The name of the dataset, e.g. <code>SFO_lin_a</code></p></dd> - <dt><code>data</code></dt><dd><p>A data frame with the data in the form expected by <code><a href='mkinfit.html'>mkinfit</a></code></p></dd> -</dl> - - <h2 class="hasAnchor" id="source"><a class="anchor" href="#source"></a>Source</h2> - +</dl></div> + <div id="source"> + <h2>Source</h2> <p>Ranke (2014) Prüfung und Validierung von Modellierungssoftware als Alternative zu ModelMaker 4.0, Umweltbundesamt Projektnummer 27452</p> <p>Rocke, David M. und Lorenzato, Stefan (1995) A two-component model for measurement error in analytical chemistry. Technometrics 37(2), 176-184.</p> + </div> - <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2> - <pre class="examples"><div class='input'><span class='co'># \dontrun{</span> -<span class='co'># The data have been generated using the following kinetic models</span> -<span class='va'>m_synth_SFO_lin</span> <span class='op'><-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span><span class='op'>(</span>parent <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span>type <span class='op'>=</span> <span class='st'>"SFO"</span>, to <span class='op'>=</span> <span class='st'>"M1"</span><span class='op'>)</span>, - M1 <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span>type <span class='op'>=</span> <span class='st'>"SFO"</span>, to <span class='op'>=</span> <span class='st'>"M2"</span><span class='op'>)</span>, - M2 <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span>type <span class='op'>=</span> <span class='st'>"SFO"</span><span class='op'>)</span>, use_of_ff <span class='op'>=</span> <span class='st'>"max"</span><span class='op'>)</span> -</div><div class='output co'>#> <span class='message'>Temporary DLL for differentials generated and loaded</span></div><div class='input'> - -<span class='va'>m_synth_SFO_par</span> <span class='op'><-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span><span class='op'>(</span>parent <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span>type <span class='op'>=</span> <span class='st'>"SFO"</span>, to <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"M1"</span>, <span class='st'>"M2"</span><span class='op'>)</span>, - sink <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span>, - M1 <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span>type <span class='op'>=</span> <span class='st'>"SFO"</span><span class='op'>)</span>, - M2 <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span>type <span class='op'>=</span> <span class='st'>"SFO"</span><span class='op'>)</span>, use_of_ff <span class='op'>=</span> <span class='st'>"max"</span><span class='op'>)</span> -</div><div class='output co'>#> <span class='message'>Temporary DLL for differentials generated and loaded</span></div><div class='input'> -<span class='va'>m_synth_DFOP_lin</span> <span class='op'><-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span><span class='op'>(</span>parent <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span>type <span class='op'>=</span> <span class='st'>"DFOP"</span>, to <span class='op'>=</span> <span class='st'>"M1"</span><span class='op'>)</span>, - M1 <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span>type <span class='op'>=</span> <span class='st'>"SFO"</span>, to <span class='op'>=</span> <span class='st'>"M2"</span><span class='op'>)</span>, - M2 <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span>type <span class='op'>=</span> <span class='st'>"SFO"</span><span class='op'>)</span>, use_of_ff <span class='op'>=</span> <span class='st'>"max"</span><span class='op'>)</span> -</div><div class='output co'>#> <span class='message'>Temporary DLL for differentials generated and loaded</span></div><div class='input'> -<span class='va'>m_synth_DFOP_par</span> <span class='op'><-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span><span class='op'>(</span>parent <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span>type <span class='op'>=</span> <span class='st'>"DFOP"</span>, to <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"M1"</span>, <span class='st'>"M2"</span><span class='op'>)</span>, - sink <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span>, - M1 <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span>type <span class='op'>=</span> <span class='st'>"SFO"</span><span class='op'>)</span>, - M2 <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span>type <span class='op'>=</span> <span class='st'>"SFO"</span><span class='op'>)</span>, use_of_ff <span class='op'>=</span> <span class='st'>"max"</span><span class='op'>)</span> -</div><div class='output co'>#> <span class='message'>Temporary DLL for differentials generated and loaded</span></div><div class='input'> -<span class='co'># The model predictions without intentional error were generated as follows</span> -<span class='va'>sampling_times</span> <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='fl'>0</span>, <span class='fl'>1</span>, <span class='fl'>3</span>, <span class='fl'>7</span>, <span class='fl'>14</span>, <span class='fl'>28</span>, <span class='fl'>60</span>, <span class='fl'>90</span>, <span class='fl'>120</span><span class='op'>)</span> - -<span class='va'>d_synth_SFO_lin</span> <span class='op'><-</span> <span class='fu'><a href='mkinpredict.html'>mkinpredict</a></span><span class='op'>(</span><span class='va'>m_synth_SFO_lin</span>, - <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span>k_parent <span class='op'>=</span> <span class='fl'>0.7</span>, f_parent_to_M1 <span class='op'>=</span> <span class='fl'>0.8</span>, - k_M1 <span class='op'>=</span> <span class='fl'>0.3</span>, f_M1_to_M2 <span class='op'>=</span> <span class='fl'>0.7</span>, - k_M2 <span class='op'>=</span> <span class='fl'>0.02</span><span class='op'>)</span>, - <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span>parent <span class='op'>=</span> <span class='fl'>100</span>, M1 <span class='op'>=</span> <span class='fl'>0</span>, M2 <span class='op'>=</span> <span class='fl'>0</span><span class='op'>)</span>, - <span class='va'>sampling_times</span><span class='op'>)</span> - -<span class='va'>d_synth_DFOP_lin</span> <span class='op'><-</span> <span class='fu'><a href='mkinpredict.html'>mkinpredict</a></span><span class='op'>(</span><span class='va'>m_synth_DFOP_lin</span>, - <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span>k1 <span class='op'>=</span> <span class='fl'>0.2</span>, k2 <span class='op'>=</span> <span class='fl'>0.02</span>, g <span class='op'>=</span> <span class='fl'>0.5</span>, - f_parent_to_M1 <span class='op'>=</span> <span class='fl'>0.5</span>, k_M1 <span class='op'>=</span> <span class='fl'>0.3</span>, - f_M1_to_M2 <span class='op'>=</span> <span class='fl'>0.7</span>, k_M2 <span class='op'>=</span> <span class='fl'>0.02</span><span class='op'>)</span>, - <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span>parent <span class='op'>=</span> <span class='fl'>100</span>, M1 <span class='op'>=</span> <span class='fl'>0</span>, M2 <span class='op'>=</span> <span class='fl'>0</span><span class='op'>)</span>, - <span class='va'>sampling_times</span><span class='op'>)</span> - -<span class='va'>d_synth_SFO_par</span> <span class='op'><-</span> <span class='fu'><a href='mkinpredict.html'>mkinpredict</a></span><span class='op'>(</span><span class='va'>m_synth_SFO_par</span>, - <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span>k_parent <span class='op'>=</span> <span class='fl'>0.2</span>, - f_parent_to_M1 <span class='op'>=</span> <span class='fl'>0.8</span>, k_M1 <span class='op'>=</span> <span class='fl'>0.01</span>, - f_parent_to_M2 <span class='op'>=</span> <span class='fl'>0.2</span>, k_M2 <span class='op'>=</span> <span class='fl'>0.02</span><span class='op'>)</span>, - <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span>parent <span class='op'>=</span> <span class='fl'>100</span>, M1 <span class='op'>=</span> <span class='fl'>0</span>, M2 <span class='op'>=</span> <span class='fl'>0</span><span class='op'>)</span>, - <span class='va'>sampling_times</span><span class='op'>)</span> - -<span class='va'>d_synth_DFOP_par</span> <span class='op'><-</span> <span class='fu'><a href='mkinpredict.html'>mkinpredict</a></span><span class='op'>(</span><span class='va'>m_synth_DFOP_par</span>, - <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span>k1 <span class='op'>=</span> <span class='fl'>0.3</span>, k2 <span class='op'>=</span> <span class='fl'>0.02</span>, g <span class='op'>=</span> <span class='fl'>0.7</span>, - f_parent_to_M1 <span class='op'>=</span> <span class='fl'>0.6</span>, k_M1 <span class='op'>=</span> <span class='fl'>0.04</span>, - f_parent_to_M2 <span class='op'>=</span> <span class='fl'>0.4</span>, k_M2 <span class='op'>=</span> <span class='fl'>0.01</span><span class='op'>)</span>, - <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span>parent <span class='op'>=</span> <span class='fl'>100</span>, M1 <span class='op'>=</span> <span class='fl'>0</span>, M2 <span class='op'>=</span> <span class='fl'>0</span><span class='op'>)</span>, - <span class='va'>sampling_times</span><span class='op'>)</span> - -<span class='co'># Construct names for datasets with errors</span> -<span class='va'>d_synth_names</span> <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/paste.html'>paste0</a></span><span class='op'>(</span><span class='st'>"d_synth_"</span>, <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"SFO_lin"</span>, <span class='st'>"SFO_par"</span>, - <span class='st'>"DFOP_lin"</span>, <span class='st'>"DFOP_par"</span><span class='op'>)</span><span class='op'>)</span> - -<span class='co'># Original function used or adding errors. The add_err function now published</span> -<span class='co'># with this package is a slightly generalised version where the names of</span> -<span class='co'># secondary compartments that should have an initial value of zero (M1 and M2</span> -<span class='co'># in this case) are not hardcoded any more.</span> -<span class='co'># add_err = function(d, sdfunc, LOD = 0.1, reps = 2, seed = 123456789)</span> -<span class='co'># {</span> -<span class='co'># set.seed(seed)</span> -<span class='co'># d_long = mkin_wide_to_long(d, time = "time")</span> -<span class='co'># d_rep = data.frame(lapply(d_long, rep, each = 2))</span> -<span class='co'># d_rep$value = rnorm(length(d_rep$value), d_rep$value, sdfunc(d_rep$value))</span> -<span class='co'>#</span> -<span class='co'># d_rep[d_rep$time == 0 & d_rep$name %in% c("M1", "M2"), "value"] <- 0</span> -<span class='co'># d_NA <- transform(d_rep, value = ifelse(value < LOD, NA, value))</span> -<span class='co'># d_NA$value <- round(d_NA$value, 1)</span> -<span class='co'># return(d_NA)</span> -<span class='co'># }</span> - -<span class='co'># The following is the simplified version of the two-component model of Rocke</span> -<span class='co'># and Lorenzato (1995)</span> -<span class='va'>sdfunc_twocomp</span> <span class='op'>=</span> <span class='kw'>function</span><span class='op'>(</span><span class='va'>value</span>, <span class='va'>sd_low</span>, <span class='va'>rsd_high</span><span class='op'>)</span> <span class='op'>{</span> - <span class='fu'><a href='https://rdrr.io/r/base/MathFun.html'>sqrt</a></span><span class='op'>(</span><span class='va'>sd_low</span><span class='op'>^</span><span class='fl'>2</span> <span class='op'>+</span> <span class='va'>value</span><span class='op'>^</span><span class='fl'>2</span> <span class='op'>*</span> <span class='va'>rsd_high</span><span class='op'>^</span><span class='fl'>2</span><span class='op'>)</span> -<span class='op'>}</span> - -<span class='co'># Add the errors.</span> -<span class='kw'>for</span> <span class='op'>(</span><span class='va'>d_synth_name</span> <span class='kw'>in</span> <span class='va'>d_synth_names</span><span class='op'>)</span> -<span class='op'>{</span> - <span class='va'>d_synth</span> <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/get.html'>get</a></span><span class='op'>(</span><span class='va'>d_synth_name</span><span class='op'>)</span> - <span class='fu'><a href='https://rdrr.io/r/base/assign.html'>assign</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/paste.html'>paste0</a></span><span class='op'>(</span><span class='va'>d_synth_name</span>, <span class='st'>"_a"</span><span class='op'>)</span>, <span class='fu'><a href='add_err.html'>add_err</a></span><span class='op'>(</span><span class='va'>d_synth</span>, <span class='kw'>function</span><span class='op'>(</span><span class='va'>value</span><span class='op'>)</span> <span class='fl'>3</span><span class='op'>)</span><span class='op'>)</span> - <span class='fu'><a href='https://rdrr.io/r/base/assign.html'>assign</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/paste.html'>paste0</a></span><span class='op'>(</span><span class='va'>d_synth_name</span>, <span class='st'>"_b"</span><span class='op'>)</span>, <span class='fu'><a href='add_err.html'>add_err</a></span><span class='op'>(</span><span class='va'>d_synth</span>, <span class='kw'>function</span><span class='op'>(</span><span class='va'>value</span><span class='op'>)</span> <span class='fl'>7</span><span class='op'>)</span><span class='op'>)</span> - <span class='fu'><a href='https://rdrr.io/r/base/assign.html'>assign</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/paste.html'>paste0</a></span><span class='op'>(</span><span class='va'>d_synth_name</span>, <span class='st'>"_c"</span><span class='op'>)</span>, <span class='fu'><a href='add_err.html'>add_err</a></span><span class='op'>(</span><span class='va'>d_synth</span>, - <span class='kw'>function</span><span class='op'>(</span><span class='va'>value</span><span class='op'>)</span> <span class='fu'>sdfunc_twocomp</span><span class='op'>(</span><span class='va'>value</span>, <span class='fl'>0.5</span>, <span class='fl'>0.07</span><span class='op'>)</span><span class='op'>)</span><span class='op'>)</span> - -<span class='op'>}</span> - -<span class='va'>d_synth_err_names</span> <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span> - <span class='fu'><a href='https://rdrr.io/r/base/paste.html'>paste</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/rep.html'>rep</a></span><span class='op'>(</span><span class='va'>d_synth_names</span>, each <span class='op'>=</span> <span class='fl'>3</span><span class='op'>)</span>, <span class='va'>letters</span><span class='op'>[</span><span class='fl'>1</span><span class='op'>:</span><span class='fl'>3</span><span class='op'>]</span>, sep <span class='op'>=</span> <span class='st'>"_"</span><span class='op'>)</span> -<span class='op'>)</span> - -<span class='co'># This is just one example of an evaluation using the kinetic model used for</span> -<span class='co'># the generation of the data</span> - <span class='va'>fit</span> <span class='op'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span><span class='op'>(</span><span class='va'>m_synth_SFO_lin</span>, <span class='va'>synthetic_data_for_UBA_2014</span><span class='op'>[[</span><span class='fl'>1</span><span class='op'>]</span><span class='op'>]</span><span class='op'>$</span><span class='va'>data</span>, - quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span> - <span class='fu'><a href='plot.mkinfit.html'>plot_sep</a></span><span class='op'>(</span><span class='va'>fit</span><span class='op'>)</span> -</div><div class='img'><img src='synthetic_data_for_UBA_2014-1.png' alt='' width='700' height='433' /></div><div class='input'> <span class='fu'><a href='https://rdrr.io/r/base/summary.html'>summary</a></span><span class='op'>(</span><span class='va'>fit</span><span class='op'>)</span> -</div><div class='output co'>#> mkin version used for fitting: 1.0.3 -#> R version used for fitting: 4.0.3 -#> Date of fit: Mon Feb 15 13:46:15 2021 -#> Date of summary: Mon Feb 15 13:46:15 2021 -#> -#> Equations: -#> d_parent/dt = - k_parent * parent -#> d_M1/dt = + f_parent_to_M1 * k_parent * parent - k_M1 * M1 -#> d_M2/dt = + f_M1_to_M2 * k_M1 * M1 - k_M2 * M2 -#> -#> Model predictions using solution type deSolve -#> -#> Fitted using 833 model solutions performed in 0.665 s -#> -#> Error model: Constant variance -#> -#> Error model algorithm: OLS -#> -#> Starting values for parameters to be optimised: -#> value type -#> parent_0 101.3500 state -#> k_parent 0.1000 deparm -#> k_M1 0.1001 deparm -#> k_M2 0.1002 deparm -#> f_parent_to_M1 0.5000 deparm -#> f_M1_to_M2 0.5000 deparm -#> -#> Starting values for the transformed parameters actually optimised: -#> value lower upper -#> parent_0 101.350000 -Inf Inf -#> log_k_parent -2.302585 -Inf Inf -#> log_k_M1 -2.301586 -Inf Inf -#> log_k_M2 -2.300587 -Inf Inf -#> f_parent_qlogis 0.000000 -Inf Inf -#> f_M1_qlogis 0.000000 -Inf Inf -#> -#> Fixed parameter values: -#> value type -#> M1_0 0 state -#> M2_0 0 state -#> -#> Results: -#> -#> AIC BIC logLik -#> 188.7274 200.3723 -87.36368 -#> -#> Optimised, transformed parameters with symmetric confidence intervals: -#> Estimate Std. Error Lower Upper -#> parent_0 102.1000 1.57000 98.8600 105.3000 -#> log_k_parent -0.3020 0.03885 -0.3812 -0.2229 -#> log_k_M1 -1.2070 0.07123 -1.3520 -1.0620 -#> log_k_M2 -3.9010 0.06571 -4.0350 -3.7670 -#> f_parent_qlogis 1.2010 0.23530 0.7216 1.6800 -#> f_M1_qlogis 0.9589 0.24890 0.4520 1.4660 -#> sigma 2.2730 0.25740 1.7490 2.7970 -#> -#> Parameter correlation: -#> parent_0 log_k_parent log_k_M1 log_k_M2 f_parent_qlogis -#> parent_0 1.000e+00 3.933e-01 -1.605e-01 2.819e-02 -4.624e-01 -#> log_k_parent 3.933e-01 1.000e+00 -4.082e-01 7.166e-02 -5.682e-01 -#> log_k_M1 -1.605e-01 -4.082e-01 1.000e+00 -3.929e-01 7.478e-01 -#> log_k_M2 2.819e-02 7.166e-02 -3.929e-01 1.000e+00 -2.658e-01 -#> f_parent_qlogis -4.624e-01 -5.682e-01 7.478e-01 -2.658e-01 1.000e+00 -#> f_M1_qlogis 1.614e-01 4.102e-01 -8.109e-01 5.419e-01 -8.605e-01 -#> sigma -2.900e-08 -8.030e-09 -2.741e-08 3.938e-08 -2.681e-08 -#> f_M1_qlogis sigma -#> parent_0 1.614e-01 -2.900e-08 -#> log_k_parent 4.102e-01 -8.030e-09 -#> log_k_M1 -8.109e-01 -2.741e-08 -#> log_k_M2 5.419e-01 3.938e-08 -#> f_parent_qlogis -8.605e-01 -2.681e-08 -#> f_M1_qlogis 1.000e+00 4.971e-08 -#> sigma 4.971e-08 1.000e+00 -#> -#> Backtransformed parameters: -#> Confidence intervals for internally transformed parameters are asymmetric. -#> t-test (unrealistically) based on the assumption of normal distribution -#> for estimators of untransformed parameters. -#> Estimate t value Pr(>t) Lower Upper -#> parent_0 102.10000 65.000 7.281e-36 98.86000 105.30000 -#> k_parent 0.73930 25.740 2.948e-23 0.68310 0.80020 -#> k_M1 0.29920 14.040 1.577e-15 0.25880 0.34590 -#> k_M2 0.02023 15.220 1.653e-16 0.01769 0.02312 -#> f_parent_to_M1 0.76870 18.370 7.295e-19 0.67300 0.84290 -#> f_M1_to_M2 0.72290 14.500 6.418e-16 0.61110 0.81240 -#> sigma 2.27300 8.832 2.161e-10 1.74900 2.79700 -#> -#> FOCUS Chi2 error levels in percent: -#> err.min n.optim df -#> All data 8.454 6 17 -#> parent 8.660 2 6 -#> M1 10.583 2 5 -#> M2 3.586 2 6 -#> -#> Resulting formation fractions: -#> ff -#> parent_M1 0.7687 -#> parent_sink 0.2313 -#> M1_M2 0.7229 -#> M1_sink 0.2771 -#> -#> Estimated disappearance times: -#> DT50 DT90 -#> parent 0.9376 3.114 -#> M1 2.3170 7.697 -#> M2 34.2689 113.839 -#> -#> Data: -#> time variable observed predicted residual -#> 0 parent 101.5 1.021e+02 -0.56248 -#> 0 parent 101.2 1.021e+02 -0.86248 -#> 1 parent 53.9 4.873e+01 5.17118 -#> 1 parent 47.5 4.873e+01 -1.22882 -#> 3 parent 10.4 1.111e+01 -0.70773 -#> 3 parent 7.6 1.111e+01 -3.50773 -#> 7 parent 1.1 5.772e-01 0.52283 -#> 7 parent 0.3 5.772e-01 -0.27717 -#> 14 parent 3.5 3.264e-03 3.49674 -#> 28 parent 3.2 1.045e-07 3.20000 -#> 90 parent 0.6 9.530e-10 0.60000 -#> 120 parent 3.5 -5.940e-10 3.50000 -#> 1 M1 36.4 3.479e+01 1.61088 -#> 1 M1 37.4 3.479e+01 2.61088 -#> 3 M1 34.3 3.937e+01 -5.07027 -#> 3 M1 39.8 3.937e+01 0.42973 -#> 7 M1 15.1 1.549e+01 -0.38715 -#> 7 M1 17.8 1.549e+01 2.31285 -#> 14 M1 5.8 1.995e+00 3.80469 -#> 14 M1 1.2 1.995e+00 -0.79531 -#> 60 M1 0.5 2.111e-06 0.50000 -#> 90 M1 3.2 -9.670e-10 3.20000 -#> 120 M1 1.5 7.670e-10 1.50000 -#> 120 M1 0.6 7.670e-10 0.60000 -#> 1 M2 4.8 4.455e+00 0.34517 -#> 3 M2 20.9 2.153e+01 -0.62527 -#> 3 M2 19.3 2.153e+01 -2.22527 -#> 7 M2 42.0 4.192e+01 0.07941 -#> 7 M2 43.1 4.192e+01 1.17941 -#> 14 M2 49.4 4.557e+01 3.83353 -#> 14 M2 44.3 4.557e+01 -1.26647 -#> 28 M2 34.6 3.547e+01 -0.87275 -#> 28 M2 33.0 3.547e+01 -2.47275 -#> 60 M2 18.8 1.858e+01 0.21837 -#> 60 M2 17.6 1.858e+01 -0.98163 -#> 90 M2 10.6 1.013e+01 0.47130 -#> 90 M2 10.8 1.013e+01 0.67130 -#> 120 M2 9.8 5.521e+00 4.27893 -#> 120 M2 3.3 5.521e+00 -2.22107</div><div class='input'><span class='co'># }</span> -</div></pre> + <div id="ref-examples"> + <h2>Examples</h2> + <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span class="co"># \dontrun{</span></span> +<span class="r-in"><span class="co"># The data have been generated using the following kinetic models</span></span> +<span class="r-in"><span class="va">m_synth_SFO_lin</span> <span class="op"><-</span> <span class="fu"><a href="mkinmod.html">mkinmod</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>type <span class="op">=</span> <span class="st">"SFO"</span>, to <span class="op">=</span> <span class="st">"M1"</span><span class="op">)</span>,</span> +<span class="r-in"> M1 <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>type <span class="op">=</span> <span class="st">"SFO"</span>, to <span class="op">=</span> <span class="st">"M2"</span><span class="op">)</span>,</span> +<span class="r-in"> M2 <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>type <span class="op">=</span> <span class="st">"SFO"</span><span class="op">)</span>, use_of_ff <span class="op">=</span> <span class="st">"max"</span><span class="op">)</span></span> +<span class="r-msg co"><span class="r-pr">#></span> Temporary DLL for differentials generated and loaded</span> +<span class="r-in"></span> +<span class="r-in"></span> +<span class="r-in"><span class="va">m_synth_SFO_par</span> <span class="op"><-</span> <span class="fu"><a href="mkinmod.html">mkinmod</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>type <span class="op">=</span> <span class="st">"SFO"</span>, to <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"M1"</span>, <span class="st">"M2"</span><span class="op">)</span>,</span> +<span class="r-in"> sink <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span>,</span> +<span class="r-in"> M1 <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>type <span class="op">=</span> <span class="st">"SFO"</span><span class="op">)</span>,</span> +<span class="r-in"> M2 <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>type <span class="op">=</span> <span class="st">"SFO"</span><span class="op">)</span>, use_of_ff <span class="op">=</span> <span class="st">"max"</span><span class="op">)</span></span> +<span class="r-msg co"><span class="r-pr">#></span> Temporary DLL for differentials generated and loaded</span> +<span class="r-in"></span> +<span class="r-in"><span class="va">m_synth_DFOP_lin</span> <span class="op"><-</span> <span class="fu"><a href="mkinmod.html">mkinmod</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>type <span class="op">=</span> <span class="st">"DFOP"</span>, to <span class="op">=</span> <span class="st">"M1"</span><span class="op">)</span>,</span> +<span class="r-in"> M1 <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>type <span class="op">=</span> <span class="st">"SFO"</span>, to <span class="op">=</span> <span class="st">"M2"</span><span class="op">)</span>,</span> +<span class="r-in"> M2 <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>type <span class="op">=</span> <span class="st">"SFO"</span><span class="op">)</span>, use_of_ff <span class="op">=</span> <span class="st">"max"</span><span class="op">)</span></span> +<span class="r-msg co"><span class="r-pr">#></span> Temporary DLL for differentials generated and loaded</span> +<span class="r-in"></span> +<span class="r-in"><span class="va">m_synth_DFOP_par</span> <span class="op"><-</span> <span class="fu"><a href="mkinmod.html">mkinmod</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>type <span class="op">=</span> <span class="st">"DFOP"</span>, to <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"M1"</span>, <span class="st">"M2"</span><span class="op">)</span>,</span> +<span class="r-in"> sink <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span>,</span> +<span class="r-in"> M1 <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>type <span class="op">=</span> <span class="st">"SFO"</span><span class="op">)</span>,</span> +<span class="r-in"> M2 <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>type <span class="op">=</span> <span class="st">"SFO"</span><span class="op">)</span>, use_of_ff <span class="op">=</span> <span class="st">"max"</span><span class="op">)</span></span> +<span class="r-msg co"><span class="r-pr">#></span> Temporary DLL for differentials generated and loaded</span> +<span class="r-in"></span> +<span class="r-in"><span class="co"># The model predictions without intentional error were generated as follows</span></span> +<span class="r-in"><span class="va">sampling_times</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">0</span>, <span class="fl">1</span>, <span class="fl">3</span>, <span class="fl">7</span>, <span class="fl">14</span>, <span class="fl">28</span>, <span class="fl">60</span>, <span class="fl">90</span>, <span class="fl">120</span><span class="op">)</span></span> +<span class="r-in"></span> +<span class="r-in"><span class="va">d_synth_SFO_lin</span> <span class="op"><-</span> <span class="fu"><a href="mkinpredict.html">mkinpredict</a></span><span class="op">(</span><span class="va">m_synth_SFO_lin</span>,</span> +<span class="r-in"> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span>k_parent <span class="op">=</span> <span class="fl">0.7</span>, f_parent_to_M1 <span class="op">=</span> <span class="fl">0.8</span>,</span> +<span class="r-in"> k_M1 <span class="op">=</span> <span class="fl">0.3</span>, f_M1_to_M2 <span class="op">=</span> <span class="fl">0.7</span>,</span> +<span class="r-in"> k_M2 <span class="op">=</span> <span class="fl">0.02</span><span class="op">)</span>,</span> +<span class="r-in"> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fl">100</span>, M1 <span class="op">=</span> <span class="fl">0</span>, M2 <span class="op">=</span> <span class="fl">0</span><span class="op">)</span>,</span> +<span class="r-in"> <span class="va">sampling_times</span><span class="op">)</span></span> +<span class="r-in"></span> +<span class="r-in"><span class="va">d_synth_DFOP_lin</span> <span class="op"><-</span> <span class="fu"><a href="mkinpredict.html">mkinpredict</a></span><span class="op">(</span><span class="va">m_synth_DFOP_lin</span>,</span> +<span class="r-in"> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span>k1 <span class="op">=</span> <span class="fl">0.2</span>, k2 <span class="op">=</span> <span class="fl">0.02</span>, g <span class="op">=</span> <span class="fl">0.5</span>,</span> +<span class="r-in"> f_parent_to_M1 <span class="op">=</span> <span class="fl">0.5</span>, k_M1 <span class="op">=</span> <span class="fl">0.3</span>,</span> +<span class="r-in"> f_M1_to_M2 <span class="op">=</span> <span class="fl">0.7</span>, k_M2 <span class="op">=</span> <span class="fl">0.02</span><span class="op">)</span>,</span> +<span class="r-in"> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fl">100</span>, M1 <span class="op">=</span> <span class="fl">0</span>, M2 <span class="op">=</span> <span class="fl">0</span><span class="op">)</span>,</span> +<span class="r-in"> <span class="va">sampling_times</span><span class="op">)</span></span> +<span class="r-in"></span> +<span class="r-in"><span class="va">d_synth_SFO_par</span> <span class="op"><-</span> <span class="fu"><a href="mkinpredict.html">mkinpredict</a></span><span class="op">(</span><span class="va">m_synth_SFO_par</span>,</span> +<span class="r-in"> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span>k_parent <span class="op">=</span> <span class="fl">0.2</span>,</span> +<span class="r-in"> f_parent_to_M1 <span class="op">=</span> <span class="fl">0.8</span>, k_M1 <span class="op">=</span> <span class="fl">0.01</span>,</span> +<span class="r-in"> f_parent_to_M2 <span class="op">=</span> <span class="fl">0.2</span>, k_M2 <span class="op">=</span> <span class="fl">0.02</span><span class="op">)</span>,</span> +<span class="r-in"> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fl">100</span>, M1 <span class="op">=</span> <span class="fl">0</span>, M2 <span class="op">=</span> <span class="fl">0</span><span class="op">)</span>,</span> +<span class="r-in"> <span class="va">sampling_times</span><span class="op">)</span></span> +<span class="r-in"></span> +<span class="r-in"><span class="va">d_synth_DFOP_par</span> <span class="op"><-</span> <span class="fu"><a href="mkinpredict.html">mkinpredict</a></span><span class="op">(</span><span class="va">m_synth_DFOP_par</span>,</span> +<span class="r-in"> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span>k1 <span class="op">=</span> <span class="fl">0.3</span>, k2 <span class="op">=</span> <span class="fl">0.02</span>, g <span class="op">=</span> <span class="fl">0.7</span>,</span> +<span class="r-in"> f_parent_to_M1 <span class="op">=</span> <span class="fl">0.6</span>, k_M1 <span class="op">=</span> <span class="fl">0.04</span>,</span> +<span class="r-in"> f_parent_to_M2 <span class="op">=</span> <span class="fl">0.4</span>, k_M2 <span class="op">=</span> <span class="fl">0.01</span><span class="op">)</span>,</span> +<span class="r-in"> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fl">100</span>, M1 <span class="op">=</span> <span class="fl">0</span>, M2 <span class="op">=</span> <span class="fl">0</span><span class="op">)</span>,</span> +<span class="r-in"> <span class="va">sampling_times</span><span class="op">)</span></span> +<span class="r-in"></span> +<span class="r-in"><span class="co"># Construct names for datasets with errors</span></span> +<span class="r-in"><span class="va">d_synth_names</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste0</a></span><span class="op">(</span><span class="st">"d_synth_"</span>, <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"SFO_lin"</span>, <span class="st">"SFO_par"</span>,</span> +<span class="r-in"> <span class="st">"DFOP_lin"</span>, <span class="st">"DFOP_par"</span><span class="op">)</span><span class="op">)</span></span> +<span class="r-in"></span> +<span class="r-in"><span class="co"># Original function used or adding errors. The add_err function now published</span></span> +<span class="r-in"><span class="co"># with this package is a slightly generalised version where the names of</span></span> +<span class="r-in"><span class="co"># secondary compartments that should have an initial value of zero (M1 and M2</span></span> +<span class="r-in"><span class="co"># in this case) are not hardcoded any more.</span></span> +<span class="r-in"><span class="co"># add_err = function(d, sdfunc, LOD = 0.1, reps = 2, seed = 123456789)</span></span> +<span class="r-in"><span class="co"># {</span></span> +<span class="r-in"><span class="co"># set.seed(seed)</span></span> +<span class="r-in"><span class="co"># d_long = mkin_wide_to_long(d, time = "time")</span></span> +<span class="r-in"><span class="co"># d_rep = data.frame(lapply(d_long, rep, each = 2))</span></span> +<span class="r-in"><span class="co"># d_rep$value = rnorm(length(d_rep$value), d_rep$value, sdfunc(d_rep$value))</span></span> +<span class="r-in"><span class="co">#</span></span> +<span class="r-in"><span class="co"># d_rep[d_rep$time == 0 & d_rep$name %in% c("M1", "M2"), "value"] <- 0</span></span> +<span class="r-in"><span class="co"># d_NA <- transform(d_rep, value = ifelse(value < LOD, NA, value))</span></span> +<span class="r-in"><span class="co"># d_NA$value <- round(d_NA$value, 1)</span></span> +<span class="r-in"><span class="co"># return(d_NA)</span></span> +<span class="r-in"><span class="co"># }</span></span> +<span class="r-in"></span> +<span class="r-in"><span class="co"># The following is the simplified version of the two-component model of Rocke</span></span> +<span class="r-in"><span class="co"># and Lorenzato (1995)</span></span> +<span class="r-in"><span class="va">sdfunc_twocomp</span> <span class="op">=</span> <span class="kw">function</span><span class="op">(</span><span class="va">value</span>, <span class="va">sd_low</span>, <span class="va">rsd_high</span><span class="op">)</span> <span class="op">{</span></span> +<span class="r-in"> <span class="fu"><a href="https://rdrr.io/r/base/MathFun.html" class="external-link">sqrt</a></span><span class="op">(</span><span class="va">sd_low</span><span class="op">^</span><span class="fl">2</span> <span class="op">+</span> <span class="va">value</span><span class="op">^</span><span class="fl">2</span> <span class="op">*</span> <span class="va">rsd_high</span><span class="op">^</span><span class="fl">2</span><span class="op">)</span></span> +<span class="r-in"><span class="op">}</span></span> +<span class="r-in"></span> +<span class="r-in"><span class="co"># Add the errors.</span></span> +<span class="r-in"><span class="kw">for</span> <span class="op">(</span><span class="va">d_synth_name</span> <span class="kw">in</span> <span class="va">d_synth_names</span><span class="op">)</span></span> +<span class="r-in"><span class="op">{</span></span> +<span class="r-in"> <span class="va">d_synth</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/get.html" class="external-link">get</a></span><span class="op">(</span><span class="va">d_synth_name</span><span class="op">)</span></span> +<span class="r-in"> <span class="fu"><a href="https://rdrr.io/r/base/assign.html" class="external-link">assign</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste0</a></span><span class="op">(</span><span class="va">d_synth_name</span>, <span class="st">"_a"</span><span class="op">)</span>, <span class="fu"><a href="add_err.html">add_err</a></span><span class="op">(</span><span class="va">d_synth</span>, <span class="kw">function</span><span class="op">(</span><span class="va">value</span><span class="op">)</span> <span class="fl">3</span><span class="op">)</span><span class="op">)</span></span> +<span class="r-in"> <span class="fu"><a href="https://rdrr.io/r/base/assign.html" class="external-link">assign</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste0</a></span><span class="op">(</span><span class="va">d_synth_name</span>, <span class="st">"_b"</span><span class="op">)</span>, <span class="fu"><a href="add_err.html">add_err</a></span><span class="op">(</span><span class="va">d_synth</span>, <span class="kw">function</span><span class="op">(</span><span class="va">value</span><span class="op">)</span> <span class="fl">7</span><span class="op">)</span><span class="op">)</span></span> +<span class="r-in"> <span class="fu"><a href="https://rdrr.io/r/base/assign.html" class="external-link">assign</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste0</a></span><span class="op">(</span><span class="va">d_synth_name</span>, <span class="st">"_c"</span><span class="op">)</span>, <span class="fu"><a href="add_err.html">add_err</a></span><span class="op">(</span><span class="va">d_synth</span>,</span> +<span class="r-in"> <span class="kw">function</span><span class="op">(</span><span class="va">value</span><span class="op">)</span> <span class="fu">sdfunc_twocomp</span><span class="op">(</span><span class="va">value</span>, <span class="fl">0.5</span>, <span class="fl">0.07</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span> +<span class="r-in"></span> +<span class="r-in"><span class="op">}</span></span> +<span class="r-in"></span> +<span class="r-in"><span class="va">d_synth_err_names</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span></span> +<span class="r-in"> <span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/rep.html" class="external-link">rep</a></span><span class="op">(</span><span class="va">d_synth_names</span>, each <span class="op">=</span> <span class="fl">3</span><span class="op">)</span>, <span class="va">letters</span><span class="op">[</span><span class="fl">1</span><span class="op">:</span><span class="fl">3</span><span class="op">]</span>, sep <span class="op">=</span> <span class="st">"_"</span><span class="op">)</span></span> +<span class="r-in"><span class="op">)</span></span> +<span class="r-in"></span> +<span class="r-in"><span class="co"># This is just one example of an evaluation using the kinetic model used for</span></span> +<span class="r-in"><span class="co"># the generation of the data</span></span> +<span class="r-in"> <span class="va">fit</span> <span class="op"><-</span> <span class="fu"><a href="mkinfit.html">mkinfit</a></span><span class="op">(</span><span class="va">m_synth_SFO_lin</span>, <span class="va">synthetic_data_for_UBA_2014</span><span class="op">[[</span><span class="fl">1</span><span class="op">]</span><span class="op">]</span><span class="op">$</span><span class="va">data</span>,</span> +<span class="r-in"> quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span> +<span class="r-in"> <span class="fu"><a href="plot.mkinfit.html">plot_sep</a></span><span class="op">(</span><span class="va">fit</span><span class="op">)</span></span> +<span class="r-plt img"><img src="synthetic_data_for_UBA_2014-1.png" alt="" width="700" height="433"></span> +<span class="r-in"> <span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">fit</span><span class="op">)</span></span> +<span class="r-out co"><span class="r-pr">#></span> mkin version used for fitting: 1.1.0 </span> +<span class="r-out co"><span class="r-pr">#></span> R version used for fitting: 4.1.2 </span> +<span class="r-out co"><span class="r-pr">#></span> Date of fit: Wed Mar 2 13:44:06 2022 </span> +<span class="r-out co"><span class="r-pr">#></span> Date of summary: Wed Mar 2 13:44:06 2022 </span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Equations:</span> +<span class="r-out co"><span class="r-pr">#></span> d_parent/dt = - k_parent * parent</span> +<span class="r-out co"><span class="r-pr">#></span> d_M1/dt = + f_parent_to_M1 * k_parent * parent - k_M1 * M1</span> +<span class="r-out co"><span class="r-pr">#></span> d_M2/dt = + f_M1_to_M2 * k_M1 * M1 - k_M2 * M2</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Model predictions using solution type deSolve </span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Fitted using 833 model solutions performed in 0.756 s</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Error model: Constant variance </span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Error model algorithm: OLS </span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Starting values for parameters to be optimised:</span> +<span class="r-out co"><span class="r-pr">#></span> value type</span> +<span class="r-out co"><span class="r-pr">#></span> parent_0 101.3500 state</span> +<span class="r-out co"><span class="r-pr">#></span> k_parent 0.1000 deparm</span> +<span class="r-out co"><span class="r-pr">#></span> k_M1 0.1001 deparm</span> +<span class="r-out co"><span class="r-pr">#></span> k_M2 0.1002 deparm</span> +<span class="r-out co"><span class="r-pr">#></span> f_parent_to_M1 0.5000 deparm</span> +<span class="r-out co"><span class="r-pr">#></span> f_M1_to_M2 0.5000 deparm</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Starting values for the transformed parameters actually optimised:</span> +<span class="r-out co"><span class="r-pr">#></span> value lower upper</span> +<span class="r-out co"><span class="r-pr">#></span> parent_0 101.350000 -Inf Inf</span> +<span class="r-out co"><span class="r-pr">#></span> log_k_parent -2.302585 -Inf Inf</span> +<span class="r-out co"><span class="r-pr">#></span> log_k_M1 -2.301586 -Inf Inf</span> +<span class="r-out co"><span class="r-pr">#></span> log_k_M2 -2.300587 -Inf Inf</span> +<span class="r-out co"><span class="r-pr">#></span> f_parent_qlogis 0.000000 -Inf Inf</span> +<span class="r-out co"><span class="r-pr">#></span> f_M1_qlogis 0.000000 -Inf Inf</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Fixed parameter values:</span> +<span class="r-out co"><span class="r-pr">#></span> value type</span> +<span class="r-out co"><span class="r-pr">#></span> M1_0 0 state</span> +<span class="r-out co"><span class="r-pr">#></span> M2_0 0 state</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Results:</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> AIC BIC logLik</span> +<span class="r-out co"><span class="r-pr">#></span> 188.7274 200.3723 -87.36368</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Optimised, transformed parameters with symmetric confidence intervals:</span> +<span class="r-out co"><span class="r-pr">#></span> Estimate Std. Error Lower Upper</span> +<span class="r-out co"><span class="r-pr">#></span> parent_0 102.1000 1.57000 98.8600 105.3000</span> +<span class="r-out co"><span class="r-pr">#></span> log_k_parent -0.3020 0.03885 -0.3812 -0.2229</span> +<span class="r-out co"><span class="r-pr">#></span> log_k_M1 -1.2070 0.07123 -1.3520 -1.0620</span> +<span class="r-out co"><span class="r-pr">#></span> log_k_M2 -3.9010 0.06571 -4.0350 -3.7670</span> +<span class="r-out co"><span class="r-pr">#></span> f_parent_qlogis 1.2010 0.23530 0.7216 1.6800</span> +<span class="r-out co"><span class="r-pr">#></span> f_M1_qlogis 0.9589 0.24890 0.4520 1.4660</span> +<span class="r-out co"><span class="r-pr">#></span> sigma 2.2730 0.25740 1.7490 2.7970</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Parameter correlation:</span> +<span class="r-out co"><span class="r-pr">#></span> parent_0 log_k_parent log_k_M1 log_k_M2 f_parent_qlogis</span> +<span class="r-out co"><span class="r-pr">#></span> parent_0 1.000e+00 3.933e-01 -1.605e-01 2.819e-02 -4.624e-01</span> +<span class="r-out co"><span class="r-pr">#></span> log_k_parent 3.933e-01 1.000e+00 -4.082e-01 7.166e-02 -5.682e-01</span> +<span class="r-out co"><span class="r-pr">#></span> log_k_M1 -1.605e-01 -4.082e-01 1.000e+00 -3.929e-01 7.478e-01</span> +<span class="r-out co"><span class="r-pr">#></span> log_k_M2 2.819e-02 7.166e-02 -3.929e-01 1.000e+00 -2.658e-01</span> +<span class="r-out co"><span class="r-pr">#></span> f_parent_qlogis -4.624e-01 -5.682e-01 7.478e-01 -2.658e-01 1.000e+00</span> +<span class="r-out co"><span class="r-pr">#></span> f_M1_qlogis 1.614e-01 4.102e-01 -8.109e-01 5.419e-01 -8.605e-01</span> +<span class="r-out co"><span class="r-pr">#></span> sigma -2.900e-08 -8.030e-09 -2.741e-08 3.938e-08 -2.681e-08</span> +<span class="r-out co"><span class="r-pr">#></span> f_M1_qlogis sigma</span> +<span class="r-out co"><span class="r-pr">#></span> parent_0 1.614e-01 -2.900e-08</span> +<span class="r-out co"><span class="r-pr">#></span> log_k_parent 4.102e-01 -8.030e-09</span> +<span class="r-out co"><span class="r-pr">#></span> log_k_M1 -8.109e-01 -2.741e-08</span> +<span class="r-out co"><span class="r-pr">#></span> log_k_M2 5.419e-01 3.938e-08</span> +<span class="r-out co"><span class="r-pr">#></span> f_parent_qlogis -8.605e-01 -2.681e-08</span> +<span class="r-out co"><span class="r-pr">#></span> f_M1_qlogis 1.000e+00 4.971e-08</span> +<span class="r-out co"><span class="r-pr">#></span> sigma 4.971e-08 1.000e+00</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Backtransformed parameters:</span> +<span class="r-out co"><span class="r-pr">#></span> Confidence intervals for internally transformed parameters are asymmetric.</span> +<span class="r-out co"><span class="r-pr">#></span> t-test (unrealistically) based on the assumption of normal distribution</span> +<span class="r-out co"><span class="r-pr">#></span> for estimators of untransformed parameters.</span> +<span class="r-out co"><span class="r-pr">#></span> Estimate t value Pr(>t) Lower Upper</span> +<span class="r-out co"><span class="r-pr">#></span> parent_0 102.10000 65.000 7.281e-36 98.86000 105.30000</span> +<span class="r-out co"><span class="r-pr">#></span> k_parent 0.73930 25.740 2.948e-23 0.68310 0.80020</span> +<span class="r-out co"><span class="r-pr">#></span> k_M1 0.29920 14.040 1.577e-15 0.25880 0.34590</span> +<span class="r-out co"><span class="r-pr">#></span> k_M2 0.02023 15.220 1.653e-16 0.01769 0.02312</span> +<span class="r-out co"><span class="r-pr">#></span> f_parent_to_M1 0.76870 18.370 7.295e-19 0.67300 0.84290</span> +<span class="r-out co"><span class="r-pr">#></span> f_M1_to_M2 0.72290 14.500 6.418e-16 0.61110 0.81240</span> +<span class="r-out co"><span class="r-pr">#></span> sigma 2.27300 8.832 2.161e-10 1.74900 2.79700</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> FOCUS Chi2 error levels in percent:</span> +<span class="r-out co"><span class="r-pr">#></span> err.min n.optim df</span> +<span class="r-out co"><span class="r-pr">#></span> All data 8.454 6 17</span> +<span class="r-out co"><span class="r-pr">#></span> parent 8.660 2 6</span> +<span class="r-out co"><span class="r-pr">#></span> M1 10.583 2 5</span> +<span class="r-out co"><span class="r-pr">#></span> M2 3.586 2 6</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Resulting formation fractions:</span> +<span class="r-out co"><span class="r-pr">#></span> ff</span> +<span class="r-out co"><span class="r-pr">#></span> parent_M1 0.7687</span> +<span class="r-out co"><span class="r-pr">#></span> parent_sink 0.2313</span> +<span class="r-out co"><span class="r-pr">#></span> M1_M2 0.7229</span> +<span class="r-out co"><span class="r-pr">#></span> M1_sink 0.2771</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Estimated disappearance times:</span> +<span class="r-out co"><span class="r-pr">#></span> DT50 DT90</span> +<span class="r-out co"><span class="r-pr">#></span> parent 0.9376 3.114</span> +<span class="r-out co"><span class="r-pr">#></span> M1 2.3170 7.697</span> +<span class="r-out co"><span class="r-pr">#></span> M2 34.2689 113.839</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Data:</span> +<span class="r-out co"><span class="r-pr">#></span> time variable observed predicted residual</span> +<span class="r-out co"><span class="r-pr">#></span> 0 parent 101.5 1.021e+02 -0.56248</span> +<span class="r-out co"><span class="r-pr">#></span> 0 parent 101.2 1.021e+02 -0.86248</span> +<span class="r-out co"><span class="r-pr">#></span> 1 parent 53.9 4.873e+01 5.17118</span> +<span class="r-out co"><span class="r-pr">#></span> 1 parent 47.5 4.873e+01 -1.22882</span> +<span class="r-out co"><span class="r-pr">#></span> 3 parent 10.4 1.111e+01 -0.70773</span> +<span class="r-out co"><span class="r-pr">#></span> 3 parent 7.6 1.111e+01 -3.50773</span> +<span class="r-out co"><span class="r-pr">#></span> 7 parent 1.1 5.772e-01 0.52283</span> +<span class="r-out co"><span class="r-pr">#></span> 7 parent 0.3 5.772e-01 -0.27717</span> +<span class="r-out co"><span class="r-pr">#></span> 14 parent 3.5 3.264e-03 3.49674</span> +<span class="r-out co"><span class="r-pr">#></span> 28 parent 3.2 1.045e-07 3.20000</span> +<span class="r-out co"><span class="r-pr">#></span> 90 parent 0.6 9.530e-10 0.60000</span> +<span class="r-out co"><span class="r-pr">#></span> 120 parent 3.5 -5.940e-10 3.50000</span> +<span class="r-out co"><span class="r-pr">#></span> 1 M1 36.4 3.479e+01 1.61088</span> +<span class="r-out co"><span class="r-pr">#></span> 1 M1 37.4 3.479e+01 2.61088</span> +<span class="r-out co"><span class="r-pr">#></span> 3 M1 34.3 3.937e+01 -5.07027</span> +<span class="r-out co"><span class="r-pr">#></span> 3 M1 39.8 3.937e+01 0.42973</span> +<span class="r-out co"><span class="r-pr">#></span> 7 M1 15.1 1.549e+01 -0.38715</span> +<span class="r-out co"><span class="r-pr">#></span> 7 M1 17.8 1.549e+01 2.31285</span> +<span class="r-out co"><span class="r-pr">#></span> 14 M1 5.8 1.995e+00 3.80469</span> +<span class="r-out co"><span class="r-pr">#></span> 14 M1 1.2 1.995e+00 -0.79531</span> +<span class="r-out co"><span class="r-pr">#></span> 60 M1 0.5 2.111e-06 0.50000</span> +<span class="r-out co"><span class="r-pr">#></span> 90 M1 3.2 -9.670e-10 3.20000</span> +<span class="r-out co"><span class="r-pr">#></span> 120 M1 1.5 7.670e-10 1.50000</span> +<span class="r-out co"><span class="r-pr">#></span> 120 M1 0.6 7.670e-10 0.60000</span> +<span class="r-out co"><span class="r-pr">#></span> 1 M2 4.8 4.455e+00 0.34517</span> +<span class="r-out co"><span class="r-pr">#></span> 3 M2 20.9 2.153e+01 -0.62527</span> +<span class="r-out co"><span class="r-pr">#></span> 3 M2 19.3 2.153e+01 -2.22527</span> +<span class="r-out co"><span class="r-pr">#></span> 7 M2 42.0 4.192e+01 0.07941</span> +<span class="r-out co"><span class="r-pr">#></span> 7 M2 43.1 4.192e+01 1.17941</span> +<span class="r-out co"><span class="r-pr">#></span> 14 M2 49.4 4.557e+01 3.83353</span> +<span class="r-out co"><span class="r-pr">#></span> 14 M2 44.3 4.557e+01 -1.26647</span> +<span class="r-out co"><span class="r-pr">#></span> 28 M2 34.6 3.547e+01 -0.87275</span> +<span class="r-out co"><span class="r-pr">#></span> 28 M2 33.0 3.547e+01 -2.47275</span> +<span class="r-out co"><span class="r-pr">#></span> 60 M2 18.8 1.858e+01 0.21837</span> +<span class="r-out co"><span class="r-pr">#></span> 60 M2 17.6 1.858e+01 -0.98163</span> +<span class="r-out co"><span class="r-pr">#></span> 90 M2 10.6 1.013e+01 0.47130</span> +<span class="r-out co"><span class="r-pr">#></span> 90 M2 10.8 1.013e+01 0.67130</span> +<span class="r-out co"><span class="r-pr">#></span> 120 M2 9.8 5.521e+00 4.27893</span> +<span class="r-out co"><span class="r-pr">#></span> 120 M2 3.3 5.521e+00 -2.22107</span> +<span class="r-in"><span class="co"># }</span></span> +</code></pre></div> + </div> </div> <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar"> - <nav id="toc" data-toggle="toc" class="sticky-top"> - <h2 data-toc-skip>Contents</h2> - </nav> - </div> + <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2> + </nav></div> </div> - <footer> - <div class="copyright"> - <p>Developed by Johannes Ranke.</p> + <footer><div class="copyright"> + <p></p><p>Developed by Johannes Ranke.</p> </div> <div class="pkgdown"> - <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.6.1.</p> + <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.2.</p> </div> - </footer> - </div> + </footer></div> - </body> -</html> + + </body></html> |