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an mmkin row object. An mmkin row object is essentially a list of mkinfit
objects that have been obtained by fitting the same model to a list of
datasets. They are used internally by the nlme.mmkin() method."><!-- 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]>
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    <a class="dropdown-item" href="../articles/prebuilt/2022_dmta_parent.html">Testing hierarchical parent degradation kinetics with residue data on dimethenamid and dimethenamid-P</a>
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      <img src="" class="logo" alt=""><h1>Helper functions to create nlme models from mmkin row objects</h1>
      <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/HEAD/R/nlme.R" class="external-link"><code>R/nlme.R</code></a></small>
      <div class="d-none name"><code>nlme.Rd</code></div>
    </div>

    <div class="ref-description section level2">
    <p>These functions facilitate setting up a nonlinear mixed effects model for
an mmkin row object. An mmkin row object is essentially a list of mkinfit
objects that have been obtained by fitting the same model to a list of
datasets. They are used internally by the <code><a href="nlme.mmkin.html">nlme.mmkin()</a></code> method.</p>
    </div>

    <div class="section level2">
    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">nlme_function</span><span class="op">(</span><span class="va">object</span><span class="op">)</span></span>
<span></span>
<span><span class="fu">nlme_data</span><span class="op">(</span><span class="va">object</span><span class="op">)</span></span></code></pre></div>
    </div>

    <div class="section level2">
    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
    <dl><dt>object</dt>
<dd><p>An mmkin row object containing several fits of the same model to different datasets</p></dd>

</dl></div>
    <div class="section level2">
    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
    

<p>A function that can be used with nlme</p>


<p>A <code><a href="https://rdrr.io/pkg/nlme/man/groupedData.html" class="external-link">groupedData</a></code> object</p>
    </div>
    <div class="section level2">
    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
    <div class="dont-index"><p><code><a href="nlme.mmkin.html">nlme.mmkin</a></code></p></div>
    </div>

    <div class="section level2">
    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><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>
<span class="r-in"><span><span class="va">m_SFO</span> <span class="op">&lt;-</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="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="va">d_SFO_1</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinpredict.html">mkinpredict</a></span><span class="op">(</span><span class="va">m_SFO</span>,</span></span>
<span class="r-in"><span>  <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">0.1</span><span class="op">)</span>,</span></span>
<span class="r-in"><span>  <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">98</span><span class="op">)</span>, <span class="va">sampling_times</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="va">d_SFO_1_long</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkin_wide_to_long.html">mkin_wide_to_long</a></span><span class="op">(</span><span class="va">d_SFO_1</span>, time <span class="op">=</span> <span class="st">"time"</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="va">d_SFO_2</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinpredict.html">mkinpredict</a></span><span class="op">(</span><span class="va">m_SFO</span>,</span></span>
<span class="r-in"><span>  <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">0.05</span><span class="op">)</span>,</span></span>
<span class="r-in"><span>  <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">102</span><span class="op">)</span>, <span class="va">sampling_times</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="va">d_SFO_2_long</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkin_wide_to_long.html">mkin_wide_to_long</a></span><span class="op">(</span><span class="va">d_SFO_2</span>, time <span class="op">=</span> <span class="st">"time"</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="va">d_SFO_3</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinpredict.html">mkinpredict</a></span><span class="op">(</span><span class="va">m_SFO</span>,</span></span>
<span class="r-in"><span>  <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">0.02</span><span class="op">)</span>,</span></span>
<span class="r-in"><span>  <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">103</span><span class="op">)</span>, <span class="va">sampling_times</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="va">d_SFO_3_long</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkin_wide_to_long.html">mkin_wide_to_long</a></span><span class="op">(</span><span class="va">d_SFO_3</span>, time <span class="op">=</span> <span class="st">"time"</span><span class="op">)</span></span></span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="va">d1</span> <span class="op">&lt;-</span> <span class="fu"><a href="add_err.html">add_err</a></span><span class="op">(</span><span class="va">d_SFO_1</span>, <span class="kw">function</span><span class="op">(</span><span class="va">value</span><span class="op">)</span> <span class="fl">3</span>, n <span class="op">=</span> <span class="fl">1</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="va">d2</span> <span class="op">&lt;-</span> <span class="fu"><a href="add_err.html">add_err</a></span><span class="op">(</span><span class="va">d_SFO_2</span>, <span class="kw">function</span><span class="op">(</span><span class="va">value</span><span class="op">)</span> <span class="fl">2</span>, n <span class="op">=</span> <span class="fl">1</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="va">d3</span> <span class="op">&lt;-</span> <span class="fu"><a href="add_err.html">add_err</a></span><span class="op">(</span><span class="va">d_SFO_3</span>, <span class="kw">function</span><span class="op">(</span><span class="va">value</span><span class="op">)</span> <span class="fl">4</span>, n <span class="op">=</span> <span class="fl">1</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="va">ds</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span>d1 <span class="op">=</span> <span class="va">d1</span>, d2 <span class="op">=</span> <span class="va">d2</span>, d3 <span class="op">=</span> <span class="va">d3</span><span class="op">)</span></span></span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="va">f</span> <span class="op">&lt;-</span> <span class="fu"><a href="mmkin.html">mmkin</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="va">ds</span>, cores <span class="op">=</span> <span class="fl">1</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="va">mean_dp</span> <span class="op">&lt;-</span> <span class="fu"><a href="mean_degparms.html">mean_degparms</a></span><span class="op">(</span><span class="va">f</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="va">grouped_data</span> <span class="op">&lt;-</span> <span class="fu">nlme_data</span><span class="op">(</span><span class="va">f</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="va">nlme_f</span> <span class="op">&lt;-</span> <span class="fu">nlme_function</span><span class="op">(</span><span class="va">f</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="co"># These assignments are necessary for these objects to be</span></span></span>
<span class="r-in"><span><span class="co"># visible to nlme and augPred when evaluation is done by</span></span></span>
<span class="r-in"><span><span class="co"># pkgdown to generate the html docs.</span></span></span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/assign.html" class="external-link">assign</a></span><span class="op">(</span><span class="st">"nlme_f"</span>, <span class="va">nlme_f</span>, <span class="fu"><a href="https://rdrr.io/r/base/environment.html" class="external-link">globalenv</a></span><span class="op">(</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/assign.html" class="external-link">assign</a></span><span class="op">(</span><span class="st">"grouped_data"</span>, <span class="va">grouped_data</span>, <span class="fu"><a href="https://rdrr.io/r/base/environment.html" class="external-link">globalenv</a></span><span class="op">(</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://svn.r-project.org/R-packages/trunk/nlme/" class="external-link">nlme</a></span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="va">m_nlme</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></span><span class="op">(</span><span class="va">value</span> <span class="op">~</span> <span class="fu">nlme_f</span><span class="op">(</span><span class="va">name</span>, <span class="va">time</span>, <span class="va">parent_0</span>, <span class="va">log_k_parent_sink</span><span class="op">)</span>,</span></span>
<span class="r-in"><span>  data <span class="op">=</span> <span class="va">grouped_data</span>,</span></span>
<span class="r-in"><span>  fixed <span class="op">=</span> <span class="va">parent_0</span> <span class="op">+</span> <span class="va">log_k_parent_sink</span> <span class="op">~</span> <span class="fl">1</span>,</span></span>
<span class="r-in"><span>  random <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/pdDiag.html" class="external-link">pdDiag</a></span><span class="op">(</span><span class="va">parent_0</span> <span class="op">+</span> <span class="va">log_k_parent_sink</span> <span class="op">~</span> <span class="fl">1</span><span class="op">)</span>,</span></span>
<span class="r-in"><span>  start <span class="op">=</span> <span class="va">mean_dp</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">m_nlme</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Nonlinear mixed-effects model fit by maximum likelihood</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>   Model: value ~ nlme_f(name, time, parent_0, log_k_parent_sink) </span>
<span class="r-out co"><span class="r-pr">#&gt;</span>   Data: grouped_data </span>
<span class="r-out co"><span class="r-pr">#&gt;</span>        AIC      BIC    logLik</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>   266.6428 275.8935 -128.3214</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Random effects:</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>  Formula: list(parent_0 ~ 1, log_k_parent_sink ~ 1)</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>  Level: ds</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>  Structure: Diagonal</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>             parent_0 log_k_parent_sink Residual</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> StdDev: 0.0003775775         0.7058039 3.065183</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Fixed effects:  parent_0 + log_k_parent_sink ~ 1 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span>                       Value Std.Error DF   t-value p-value</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0          101.18323 0.7900461 43 128.07257       0</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> log_k_parent_sink  -3.08708 0.4171755 43  -7.39995       0</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>  Correlation: </span>
<span class="r-out co"><span class="r-pr">#&gt;</span>                   prnt_0</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> log_k_parent_sink 0.031 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Standardized Within-Group Residuals:</span>
<span class="r-out co"><span class="r-pr">#&gt;</span>         Min          Q1         Med          Q3         Max </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> -2.38427070 -0.52059848  0.03593021  0.39987268  2.73188969 </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Number of Observations: 47</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Number of Groups: 3 </span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/pkg/nlme/man/augPred.html" class="external-link">augPred</a></span><span class="op">(</span><span class="va">m_nlme</span>, level <span class="op">=</span> <span class="fl">0</span><span class="op">:</span><span class="fl">1</span><span class="op">)</span>, layout <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">3</span>, <span class="fl">1</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-plt img"><img src="nlme-1.png" alt="" width="700" height="433"></span>
<span class="r-in"><span><span class="co"># augPred does not work on fits with more than one state</span></span></span>
<span class="r-in"><span><span class="co"># variable</span></span></span>
<span class="r-in"><span><span class="co">#</span></span></span>
<span class="r-in"><span><span class="co"># The procedure is greatly simplified by the nlme.mmkin function</span></span></span>
<span class="r-in"><span><span class="va">f_nlme</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></span><span class="op">(</span><span class="va">f</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_nlme</span><span class="op">)</span></span></span>
<span class="r-plt img"><img src="nlme-2.png" alt="" width="700" height="433"></span>
</code></pre></div>
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