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Diffstat (limited to 'docs/articles/FOCUS_L.html')
| -rw-r--r-- | docs/articles/FOCUS_L.html | 154 | 
1 files changed, 77 insertions, 77 deletions
| diff --git a/docs/articles/FOCUS_L.html b/docs/articles/FOCUS_L.html index 8af99f6c..b05963ae 100644 --- a/docs/articles/FOCUS_L.html +++ b/docs/articles/FOCUS_L.html @@ -88,7 +88,7 @@        <h1>Example evaluation of FOCUS Laboratory Data L1 to L3</h1>                          <h4 class="author">Johannes Ranke</h4> -            <h4 class="date">2019-04-10</h4> +            <h4 class="date">2019-05-02</h4>        <div class="hidden name"><code>FOCUS_L.Rmd</code></div> @@ -113,19 +113,19 @@  <div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb2-1" title="1">m.L1.SFO <-<span class="st"> </span><span class="kw"><a href="../reference/mkinfit.html">mkinfit</a></span>(<span class="st">"SFO"</span>, FOCUS_<span class="dv">2006</span>_L1_mkin, <span class="dt">quiet =</span> <span class="ot">TRUE</span>)</a>  <a class="sourceLine" id="cb2-2" title="2"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/summary">summary</a></span>(m.L1.SFO)</a></code></pre></div>  <pre><code>## mkin version used for fitting:    0.9.49.4  -## R version used for fitting:       3.5.3  -## Date of fit:     Wed Apr 10 10:11:33 2019  -## Date of summary: Wed Apr 10 10:11:33 2019  +## R version used for fitting:       3.6.0  +## Date of fit:     Thu May  2 12:40:31 2019  +## Date of summary: Thu May  2 12:40:31 2019   ##   ## Equations:  ## d_parent/dt = - k_parent_sink * parent  ##   ## Model predictions using solution type analytical   ##  -## Fitted with method using 133 model solutions performed in 0.344 s +## Fitted using 133 model solutions performed in 0.289 s  ##   ## Error model: -## NULL +## Constant variance   ##   ## Starting values for parameters to be optimised:  ##                   value   type @@ -163,7 +163,7 @@  ## k_parent_sink  0.09561   26.57 2.487e-14  0.08824  0.1036  ## sigma          2.78000    6.00 1.216e-05  1.79200  3.7670  ##  -## Chi2 error levels in percent: +## FOCUS Chi2 error levels in percent:  ##          err.min n.optim df  ## All data   3.424       2  7  ## parent     3.424       2  7 @@ -214,9 +214,9 @@  <pre><code>## Warning in cov2cor(ans$cov.unscaled): diag(.) had 0 or NA entries; non-  ## finite result is doubtful</code></pre>  <pre><code>## mkin version used for fitting:    0.9.49.4  -## R version used for fitting:       3.5.3  -## Date of fit:     Wed Apr 10 10:11:34 2019  -## Date of summary: Wed Apr 10 10:11:34 2019  +## R version used for fitting:       3.6.0  +## Date of fit:     Thu May  2 12:40:33 2019  +## Date of summary: Thu May  2 12:40:33 2019   ##   ##   ## Warning: Optimisation did not converge: @@ -228,24 +228,24 @@  ##   ## Model predictions using solution type analytical   ##  -## Fitted with method using 344 model solutions performed in 0.778 s +## Fitted using 599 model solutions performed in 1.277 s  ##   ## Error model: -## NULL +## Constant variance   ##   ## Starting values for parameters to be optimised: -##             value   type -## parent_0 89.85000  state -## alpha     1.00000 deparm -## beta     10.00000 deparm -## sigma     2.77987  error +##              value   type +## parent_0 89.850000  state +## alpha     1.000000 deparm +## beta     10.000000 deparm +## sigma     2.779868  error  ##   ## Starting values for the transformed parameters actually optimised:  ##               value lower upper  ## parent_0  89.850000  -Inf   Inf  ## log_alpha  0.000000  -Inf   Inf  ## log_beta   2.302585  -Inf   Inf -## sigma      2.779870     0   Inf +## sigma      2.779868     0   Inf  ##   ## Fixed parameter values:  ## None @@ -253,16 +253,16 @@  ## Optimised, transformed parameters with symmetric confidence intervals:  ##           Estimate Std. Error  Lower  Upper  ## parent_0     92.47     1.2810 89.720 95.220 -## log_alpha    10.60        NaN    NaN    NaN -## log_beta     12.95        NaN    NaN    NaN -## sigma         2.78     0.4554  1.803  3.757 +## log_alpha    10.66        NaN    NaN    NaN +## log_beta     13.01        NaN    NaN    NaN +## sigma         2.78     0.4599  1.794  3.766  ##   ## Parameter correlation:  ##           parent_0 log_alpha log_beta    sigma -## parent_0  1.000000       NaN      NaN 0.008714 +## parent_0  1.000000       NaN      NaN 0.003475  ## log_alpha      NaN         1      NaN      NaN  ## log_beta       NaN       NaN        1      NaN -## sigma     0.008714       NaN      NaN 1.000000 +## sigma     0.003475       NaN      NaN 1.000000  ##   ## Backtransformed parameters:  ## Confidence intervals for internally transformed parameters are asymmetric. @@ -270,11 +270,11 @@  ## for estimators of untransformed parameters.  ##           Estimate  t value    Pr(>t)  Lower  Upper  ## parent_0     92.47 72.13000 1.052e-19 89.720 95.220 -## alpha     40090.00  0.02388 4.906e-01     NA     NA -## beta     419300.00  0.02388 4.906e-01     NA     NA -## sigma         2.78  6.00000 1.628e-05  1.803  3.757 +## alpha     42700.00  0.02298 4.910e-01     NA     NA +## beta     446600.00  0.02298 4.910e-01     NA     NA +## sigma         2.78  6.00000 1.628e-05  1.794  3.766  ##  -## Chi2 error levels in percent: +## FOCUS Chi2 error levels in percent:  ##          err.min n.optim df  ## All data   3.619       3  6  ## parent     3.619       3  6 @@ -318,19 +318,19 @@  <p><img src="FOCUS_L_files/figure-html/unnamed-chunk-9-1.png" width="672"></p>  <div class="sourceCode" id="cb17"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb17-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/summary">summary</a></span>(m.L2.FOMC, <span class="dt">data =</span> <span class="ot">FALSE</span>)</a></code></pre></div>  <pre><code>## mkin version used for fitting:    0.9.49.4  -## R version used for fitting:       3.5.3  -## Date of fit:     Wed Apr 10 10:11:35 2019  -## Date of summary: Wed Apr 10 10:11:35 2019  +## R version used for fitting:       3.6.0  +## Date of fit:     Thu May  2 12:40:34 2019  +## Date of summary: Thu May  2 12:40:34 2019   ##   ## Equations:  ## d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent  ##   ## Model predictions using solution type analytical   ##  -## Fitted with method using 240 model solutions performed in 0.564 s +## Fitted using 240 model solutions performed in 0.506 s  ##   ## Error model: -## NULL +## Constant variance   ##   ## Starting values for parameters to be optimised:  ##              value   type @@ -373,7 +373,7 @@  ## beta        1.234   4.012 1.942e-03  0.6945  2.192  ## sigma       2.276   4.899 5.977e-04  1.2050  3.347  ##  -## Chi2 error levels in percent: +## FOCUS Chi2 error levels in percent:  ##          err.min n.optim df  ## All data   6.205       3  3  ## parent     6.205       3  3 @@ -393,9 +393,9 @@  <p><img src="FOCUS_L_files/figure-html/unnamed-chunk-10-1.png" width="672"></p>  <div class="sourceCode" id="cb20"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb20-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/summary">summary</a></span>(m.L2.DFOP, <span class="dt">data =</span> <span class="ot">FALSE</span>)</a></code></pre></div>  <pre><code>## mkin version used for fitting:    0.9.49.4  -## R version used for fitting:       3.5.3  -## Date of fit:     Wed Apr 10 10:11:37 2019  -## Date of summary: Wed Apr 10 10:11:37 2019  +## R version used for fitting:       3.6.0  +## Date of fit:     Thu May  2 12:40:35 2019  +## Date of summary: Thu May  2 12:40:35 2019   ##   ## Equations:  ## d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * @@ -404,10 +404,10 @@  ##   ## Model predictions using solution type analytical   ##  -## Fitted with method using 585 model solutions performed in 1.296 s +## Fitted using 587 model solutions performed in 1.273 s  ##   ## Error model: -## NULL +## Constant variance   ##   ## Starting values for parameters to be optimised:  ##              value   type @@ -431,18 +431,18 @@  ## Optimised, transformed parameters with symmetric confidence intervals:  ##          Estimate Std. Error      Lower     Upper  ## parent_0  93.9500  9.998e-01    91.5900   96.3100 -## log_k1     3.1350  2.336e+03 -5522.0000 5528.0000 +## log_k1     3.1330  2.265e+03 -5354.0000 5360.0000  ## log_k2    -1.0880  6.285e-02    -1.2370   -0.9394  ## g_ilr     -0.2821  7.033e-02    -0.4484   -0.1158  ## sigma      1.4140  2.886e-01     0.7314    2.0960  ##   ## Parameter correlation:  ##            parent_0     log_k1     log_k2      g_ilr      sigma -## parent_0  1.000e+00  5.247e-07 -1.026e-10  2.665e-01 -8.076e-11 -## log_k1    5.247e-07  1.000e+00  8.592e-05 -1.690e-04 -7.938e-06 -## log_k2   -1.026e-10  8.592e-05  1.000e+00 -7.903e-01  5.048e-10 -## g_ilr     2.665e-01 -1.690e-04 -7.903e-01  1.000e+00 -6.476e-10 -## sigma    -8.076e-11 -7.938e-06  5.048e-10 -6.476e-10  1.000e+00 +## parent_0  1.000e+00  5.434e-07 -9.989e-11  2.665e-01 -3.978e-10 +## log_k1    5.434e-07  1.000e+00  8.888e-05 -1.748e-04 -8.207e-06 +## log_k2   -9.989e-11  8.888e-05  1.000e+00 -7.903e-01  5.751e-10 +## g_ilr     2.665e-01 -1.748e-04 -7.903e-01  1.000e+00 -7.109e-10 +## sigma    -3.978e-10 -8.207e-06  5.751e-10 -7.109e-10  1.000e+00  ##   ## Backtransformed parameters:  ## Confidence intervals for internally transformed parameters are asymmetric. @@ -450,19 +450,19 @@  ## for estimators of untransformed parameters.  ##          Estimate   t value    Pr(>t)   Lower   Upper  ## parent_0  93.9500 9.397e+01 2.036e-12 91.5900 96.3100 -## k1        23.0000 4.377e-04 4.998e-01  0.0000     Inf +## k1        22.9300 4.514e-04 4.998e-01  0.0000     Inf  ## k2         0.3369 1.591e+01 4.697e-07  0.2904  0.3909  ## g          0.4016 1.680e+01 3.238e-07  0.3466  0.4591  ## sigma      1.4140 4.899e+00 8.776e-04  0.7314  2.0960  ##  -## Chi2 error levels in percent: +## FOCUS Chi2 error levels in percent:  ##          err.min n.optim df  ## All data    2.53       4  2  ## parent      2.53       4  2  ##   ## Estimated disappearance times:  ##          DT50  DT90 DT50_k1 DT50_k2 -## parent 0.5335 5.311 0.03014   2.058</code></pre> +## parent 0.5335 5.311 0.03023   2.058</code></pre>  <p>Here, the DFOP model is clearly the best-fit model for dataset L2 based on the chi^2 error level criterion. However, the failure to calculate the covariance matrix indicates that the parameter estimates correlate excessively. Therefore, the FOMC model may be preferred for this dataset.</p>  </div>  </div> @@ -492,9 +492,9 @@  <p>We can extract the summary and plot for <em>e.g.</em> the DFOP fit, using square brackets for indexing which will result in the use of the summary and plot functions working on mkinfit objects.</p>  <div class="sourceCode" id="cb24"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb24-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/summary">summary</a></span>(mm.L3[[<span class="st">"DFOP"</span>, <span class="dv">1</span>]])</a></code></pre></div>  <pre><code>## mkin version used for fitting:    0.9.49.4  -## R version used for fitting:       3.5.3  -## Date of fit:     Wed Apr 10 10:11:39 2019  -## Date of summary: Wed Apr 10 10:11:39 2019  +## R version used for fitting:       3.6.0  +## Date of fit:     Thu May  2 12:40:37 2019  +## Date of summary: Thu May  2 12:40:37 2019   ##   ## Equations:  ## d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * @@ -503,10 +503,10 @@  ##   ## Model predictions using solution type analytical   ##  -## Fitted with method using 372 model solutions performed in 0.809 s +## Fitted using 372 model solutions performed in 0.777 s  ##   ## Error model: -## NULL +## Constant variance   ##   ## Starting values for parameters to be optimised:  ##              value   type @@ -537,11 +537,11 @@  ##   ## Parameter correlation:  ##           parent_0     log_k1     log_k2      g_ilr      sigma -## parent_0 1.000e+00  1.732e-01  2.282e-02  4.009e-01  1.656e-07 -## log_k1   1.732e-01  1.000e+00  4.945e-01 -5.809e-01  6.759e-08 -## log_k2   2.282e-02  4.945e-01  1.000e+00 -6.812e-01  3.867e-07 -## g_ilr    4.009e-01 -5.809e-01 -6.812e-01  1.000e+00 -3.839e-07 -## sigma    1.656e-07  6.759e-08  3.867e-07 -3.839e-07  1.000e+00 +## parent_0 1.000e+00  1.732e-01  2.282e-02  4.009e-01  1.660e-07 +## log_k1   1.732e-01  1.000e+00  4.945e-01 -5.809e-01  6.635e-08 +## log_k2   2.282e-02  4.945e-01  1.000e+00 -6.812e-01  3.880e-07 +## g_ilr    4.009e-01 -5.809e-01 -6.812e-01  1.000e+00 -3.822e-07 +## sigma    1.660e-07  6.635e-08  3.880e-07 -3.822e-07  1.000e+00  ##   ## Backtransformed parameters:  ## Confidence intervals for internally transformed parameters are asymmetric. @@ -554,7 +554,7 @@  ## g         0.45660  34.920 2.581e-05  0.41540   0.49850  ## sigma     1.01700   4.000 1.400e-02  0.20790   1.82700  ##  -## Chi2 error levels in percent: +## FOCUS Chi2 error levels in percent:  ##          err.min n.optim df  ## All data   2.225       4  4  ## parent     2.225       4  4 @@ -597,19 +597,19 @@  <p>The <span class="math inline">\(\chi^2\)</span> error level of 3.3% as well as the plot suggest that the SFO model fits very well. The error level at which the <span class="math inline">\(\chi^2\)</span> test passes is slightly lower for the FOMC model. However, the difference appears negligible.</p>  <div class="sourceCode" id="cb29"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb29-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/summary">summary</a></span>(mm.L4[[<span class="st">"SFO"</span>, <span class="dv">1</span>]], <span class="dt">data =</span> <span class="ot">FALSE</span>)</a></code></pre></div>  <pre><code>## mkin version used for fitting:    0.9.49.4  -## R version used for fitting:       3.5.3  -## Date of fit:     Wed Apr 10 10:11:39 2019  -## Date of summary: Wed Apr 10 10:11:40 2019  +## R version used for fitting:       3.6.0  +## Date of fit:     Thu May  2 12:40:38 2019  +## Date of summary: Thu May  2 12:40:38 2019   ##   ## Equations:  ## d_parent/dt = - k_parent_sink * parent  ##   ## Model predictions using solution type analytical   ##  -## Fitted with method using 146 model solutions performed in 0.306 s +## Fitted using 146 model solutions performed in 0.298 s  ##   ## Error model: -## NULL +## Constant variance   ##   ## Starting values for parameters to be optimised:  ##                  value   type @@ -634,9 +634,9 @@  ##   ## Parameter correlation:  ##                    parent_0 log_k_parent_sink      sigma -## parent_0          1.000e+00         5.938e-01  5.612e-10 -## log_k_parent_sink 5.938e-01         1.000e+00 -4.994e-10 -## sigma             5.612e-10        -4.994e-10  1.000e+00 +## parent_0          1.000e+00         5.938e-01  4.256e-10 +## log_k_parent_sink 5.938e-01         1.000e+00 -7.280e-10 +## sigma             4.256e-10        -7.280e-10  1.000e+00  ##   ## Backtransformed parameters:  ## Confidence intervals for internally transformed parameters are asymmetric. @@ -647,7 +647,7 @@  ## k_parent_sink  0.006541   14.17 1.578e-05  0.005455 7.842e-03  ## sigma          3.162000    4.00 5.162e-03  1.130000 5.194e+00  ##  -## Chi2 error levels in percent: +## FOCUS Chi2 error levels in percent:  ##          err.min n.optim df  ## All data   3.287       2  6  ## parent     3.287       2  6 @@ -661,19 +661,19 @@  ## parent  106  352</code></pre>  <div class="sourceCode" id="cb31"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb31-1" title="1"><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/summary">summary</a></span>(mm.L4[[<span class="st">"FOMC"</span>, <span class="dv">1</span>]], <span class="dt">data =</span> <span class="ot">FALSE</span>)</a></code></pre></div>  <pre><code>## mkin version used for fitting:    0.9.49.4  -## R version used for fitting:       3.5.3  -## Date of fit:     Wed Apr 10 10:11:40 2019  -## Date of summary: Wed Apr 10 10:11:40 2019  +## R version used for fitting:       3.6.0  +## Date of fit:     Thu May  2 12:40:38 2019  +## Date of summary: Thu May  2 12:40:38 2019   ##   ## Equations:  ## d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent  ##   ## Model predictions using solution type analytical   ##  -## Fitted with method using 224 model solutions performed in 0.478 s +## Fitted using 224 model solutions performed in 0.458 s  ##   ## Error model: -## NULL +## Constant variance   ##   ## Starting values for parameters to be optimised:  ##              value   type @@ -701,10 +701,10 @@  ##   ## Parameter correlation:  ##             parent_0  log_alpha   log_beta      sigma -## parent_0   1.000e+00 -4.696e-01 -5.543e-01 -2.460e-07 -## log_alpha -4.696e-01  1.000e+00  9.889e-01  2.351e-08 -## log_beta  -5.543e-01  9.889e-01  1.000e+00  5.079e-08 -## sigma     -2.460e-07  2.351e-08  5.079e-08  1.000e+00 +## parent_0   1.000e+00 -4.696e-01 -5.543e-01 -2.473e-07 +## log_alpha -4.696e-01  1.000e+00  9.889e-01  2.429e-08 +## log_beta  -5.543e-01  9.889e-01  1.000e+00  5.183e-08 +## sigma     -2.473e-07  2.429e-08  5.183e-08  1.000e+00  ##   ## Backtransformed parameters:  ## Confidence intervals for internally transformed parameters are asymmetric. @@ -716,7 +716,7 @@  ## beta      64.9800   2.540 3.201e-02 21.7800 193.900  ## sigma      1.8300   4.000 8.065e-03  0.5598   3.100  ##  -## Chi2 error levels in percent: +## FOCUS Chi2 error levels in percent:  ##          err.min n.optim df  ## All data   2.029       3  5  ## parent     2.029       3  5 | 
