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authorJohannes Ranke <jranke@uni-bremen.de>2015-06-22 22:18:44 +0200
committerJohannes Ranke <jranke@uni-bremen.de>2015-06-22 22:18:44 +0200
commit4a2809943b4bcb234f1eb979619c8cd27341c124 (patch)
tree81e5e6290c4506b11b85c7f85c371b21081abdd0 /vignettes
parent72846ba8a3d75eed97901670eafee36b84f359df (diff)
Vignettes rebuilt by staticdocs::build_site() for static documentation on r-forge
Diffstat (limited to 'vignettes')
-rw-r--r--vignettes/FOCUS_D.html13
-rw-r--r--vignettes/FOCUS_L.html60
-rw-r--r--vignettes/FOCUS_Z.pdfbin224268 -> 224263 bytes
-rw-r--r--vignettes/compiled_models.html34
-rw-r--r--vignettes/mkin.pdfbin160260 -> 160260 bytes
5 files changed, 52 insertions, 55 deletions
diff --git a/vignettes/FOCUS_D.html b/vignettes/FOCUS_D.html
index 53711e88..58399198 100644
--- a/vignettes/FOCUS_D.html
+++ b/vignettes/FOCUS_D.html
@@ -69,11 +69,8 @@ img {
<p>This is just a very simple vignette showing how to fit a degradation model for a parent compound with one transformation product using <code>mkin</code>. After loading the library we look a the data. We have observed concentrations in the column named <code>value</code> at the times specified in column <code>time</code> for the two observed variables named <code>parent</code> and <code>m1</code>.</p>
-<pre class="r"><code>library(&quot;mkin&quot;)</code></pre>
-<pre><code>## Loading required package: minpack.lm
-## Loading required package: rootSolve
-## Loading required package: inline</code></pre>
-<pre class="r"><code>print(FOCUS_2006_D)</code></pre>
+<pre class="r"><code>library(&quot;mkin&quot;)
+print(FOCUS_2006_D)</code></pre>
<pre><code>## name time value
## 1 parent 0 99.46
## 2 parent 0 102.04
@@ -140,8 +137,8 @@ img {
<pre class="r"><code>summary(fit)</code></pre>
<pre><code>## mkin version: 0.9.37
## R version: 3.2.1
-## Date of fit: Mon Jun 22 18:45:34 2015
-## Date of summary: Mon Jun 22 18:45:34 2015
+## Date of fit: Mon Jun 22 22:17:05 2015
+## Date of summary: Mon Jun 22 22:17:05 2015
##
## Equations:
## d_parent = - k_parent_sink * parent - k_parent_m1 * parent
@@ -149,7 +146,7 @@ img {
##
## Model predictions using solution type deSolve
##
-## Fitted with method Port using 153 model solutions performed in 0.609 s
+## Fitted with method Port using 153 model solutions performed in 0.744 s
##
## Weighting: none
##
diff --git a/vignettes/FOCUS_L.html b/vignettes/FOCUS_L.html
index 488d5dc8..276c7c35 100644
--- a/vignettes/FOCUS_L.html
+++ b/vignettes/FOCUS_L.html
@@ -93,15 +93,15 @@ FOCUS_2006_L1_mkin &lt;- mkin_wide_to_long(FOCUS_2006_L1)</code></pre>
summary(m.L1.SFO)</code></pre>
<pre><code>## mkin version: 0.9.37
## R version: 3.2.1
-## Date of fit: Mon Jun 22 20:44:34 2015
-## Date of summary: Mon Jun 22 20:44:34 2015
+## Date of fit: Mon Jun 22 22:17:06 2015
+## Date of summary: Mon Jun 22 22:17:06 2015
##
## Equations:
## d_parent = - k_parent_sink * parent
##
## Model predictions using solution type analytical
##
-## Fitted with method Port using 37 model solutions performed in 0.093 s
+## Fitted with method Port using 37 model solutions performed in 0.09 s
##
## Weighting: none
##
@@ -183,8 +183,8 @@ summary(m.L1.SFO)</code></pre>
<pre class="r"><code>summary(m.L1.FOMC, data = FALSE)</code></pre>
<pre><code>## mkin version: 0.9.37
## R version: 3.2.1
-## Date of fit: Mon Jun 22 20:44:35 2015
-## Date of summary: Mon Jun 22 20:44:35 2015
+## Date of fit: Mon Jun 22 22:17:07 2015
+## Date of summary: Mon Jun 22 22:17:07 2015
##
##
## Warning: Optimisation by method Port did not converge.
@@ -196,7 +196,7 @@ summary(m.L1.SFO)</code></pre>
##
## Model predictions using solution type analytical
##
-## Fitted with method Port using 188 model solutions performed in 0.48 s
+## Fitted with method Port using 188 model solutions performed in 0.476 s
##
## Weighting: none
##
@@ -263,15 +263,15 @@ FOCUS_2006_L2_mkin &lt;- mkin_wide_to_long(FOCUS_2006_L2)</code></pre>
summary(m.L2.SFO)</code></pre>
<pre><code>## mkin version: 0.9.37
## R version: 3.2.1
-## Date of fit: Mon Jun 22 20:44:35 2015
-## Date of summary: Mon Jun 22 20:44:35 2015
+## Date of fit: Mon Jun 22 22:17:07 2015
+## Date of summary: Mon Jun 22 22:17:07 2015
##
## Equations:
## d_parent = - k_parent_sink * parent
##
## Model predictions using solution type analytical
##
-## Fitted with method Port using 41 model solutions performed in 0.104 s
+## Fitted with method Port using 41 model solutions performed in 0.099 s
##
## Weighting: none
##
@@ -351,15 +351,15 @@ mkinresplot(m.L2.FOMC)</code></pre>
<pre class="r"><code>summary(m.L2.FOMC, data = FALSE)</code></pre>
<pre><code>## mkin version: 0.9.37
## R version: 3.2.1
-## Date of fit: Mon Jun 22 20:44:36 2015
-## Date of summary: Mon Jun 22 20:44:36 2015
+## Date of fit: Mon Jun 22 22:17:07 2015
+## Date of summary: Mon Jun 22 22:17:07 2015
##
## Equations:
## d_parent = - (alpha/beta) * 1/((time/beta) + 1) * parent
##
## Model predictions using solution type analytical
##
-## Fitted with method Port using 81 model solutions performed in 0.203 s
+## Fitted with method Port using 81 model solutions performed in 0.237 s
##
## Weighting: none
##
@@ -423,8 +423,8 @@ plot(m.L2.DFOP)</code></pre>
<pre class="r"><code>summary(m.L2.DFOP, data = FALSE)</code></pre>
<pre><code>## mkin version: 0.9.37
## R version: 3.2.1
-## Date of fit: Mon Jun 22 20:44:38 2015
-## Date of summary: Mon Jun 22 20:44:38 2015
+## Date of fit: Mon Jun 22 22:17:10 2015
+## Date of summary: Mon Jun 22 22:17:10 2015
##
## Equations:
## d_parent = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *
@@ -433,7 +433,7 @@ plot(m.L2.DFOP)</code></pre>
##
## Model predictions using solution type analytical
##
-## Fitted with method Port using 336 model solutions performed in 0.926 s
+## Fitted with method Port using 336 model solutions performed in 0.841 s
##
## Weighting: none
##
@@ -500,15 +500,15 @@ plot(m.L3.SFO)</code></pre>
<pre class="r"><code>summary(m.L3.SFO)</code></pre>
<pre><code>## mkin version: 0.9.37
## R version: 3.2.1
-## Date of fit: Mon Jun 22 20:44:38 2015
-## Date of summary: Mon Jun 22 20:44:38 2015
+## Date of fit: Mon Jun 22 22:17:10 2015
+## Date of summary: Mon Jun 22 22:17:10 2015
##
## Equations:
## d_parent = - k_parent_sink * parent
##
## Model predictions using solution type analytical
##
-## Fitted with method Port using 43 model solutions performed in 0.132 s
+## Fitted with method Port using 43 model solutions performed in 0.11 s
##
## Weighting: none
##
@@ -576,15 +576,15 @@ plot(m.L3.FOMC)</code></pre>
<pre class="r"><code>summary(m.L3.FOMC, data = FALSE)</code></pre>
<pre><code>## mkin version: 0.9.37
## R version: 3.2.1
-## Date of fit: Mon Jun 22 20:44:39 2015
-## Date of summary: Mon Jun 22 20:44:39 2015
+## Date of fit: Mon Jun 22 22:17:10 2015
+## Date of summary: Mon Jun 22 22:17:10 2015
##
## Equations:
## d_parent = - (alpha/beta) * 1/((time/beta) + 1) * parent
##
## Model predictions using solution type analytical
##
-## Fitted with method Port using 83 model solutions performed in 0.221 s
+## Fitted with method Port using 83 model solutions performed in 0.2 s
##
## Weighting: none
##
@@ -642,8 +642,8 @@ plot(m.L3.DFOP)</code></pre>
<pre class="r"><code>summary(m.L3.DFOP, data = FALSE)</code></pre>
<pre><code>## mkin version: 0.9.37
## R version: 3.2.1
-## Date of fit: Mon Jun 22 20:44:39 2015
-## Date of summary: Mon Jun 22 20:44:39 2015
+## Date of fit: Mon Jun 22 22:17:11 2015
+## Date of summary: Mon Jun 22 22:17:11 2015
##
## Equations:
## d_parent = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *
@@ -652,7 +652,7 @@ plot(m.L3.DFOP)</code></pre>
##
## Model predictions using solution type analytical
##
-## Fitted with method Port using 137 model solutions performed in 0.372 s
+## Fitted with method Port using 137 model solutions performed in 0.423 s
##
## Weighting: none
##
@@ -724,15 +724,15 @@ plot(m.L4.SFO)</code></pre>
<pre class="r"><code>summary(m.L4.SFO, data = FALSE)</code></pre>
<pre><code>## mkin version: 0.9.37
## R version: 3.2.1
-## Date of fit: Mon Jun 22 20:44:40 2015
-## Date of summary: Mon Jun 22 20:44:40 2015
+## Date of fit: Mon Jun 22 22:17:11 2015
+## Date of summary: Mon Jun 22 22:17:11 2015
##
## Equations:
## d_parent = - k_parent_sink * parent
##
## Model predictions using solution type analytical
##
-## Fitted with method Port using 46 model solutions performed in 0.115 s
+## Fitted with method Port using 46 model solutions performed in 0.113 s
##
## Weighting: none
##
@@ -789,15 +789,15 @@ plot(m.L4.FOMC)</code></pre>
<pre class="r"><code>summary(m.L4.FOMC, data = FALSE)</code></pre>
<pre><code>## mkin version: 0.9.37
## R version: 3.2.1
-## Date of fit: Mon Jun 22 20:44:40 2015
-## Date of summary: Mon Jun 22 20:44:40 2015
+## Date of fit: Mon Jun 22 22:17:12 2015
+## Date of summary: Mon Jun 22 22:17:12 2015
##
## Equations:
## d_parent = - (alpha/beta) * 1/((time/beta) + 1) * parent
##
## Model predictions using solution type analytical
##
-## Fitted with method Port using 66 model solutions performed in 0.169 s
+## Fitted with method Port using 66 model solutions performed in 0.179 s
##
## Weighting: none
##
diff --git a/vignettes/FOCUS_Z.pdf b/vignettes/FOCUS_Z.pdf
index d75b1288..94084bca 100644
--- a/vignettes/FOCUS_Z.pdf
+++ b/vignettes/FOCUS_Z.pdf
Binary files differ
diff --git a/vignettes/compiled_models.html b/vignettes/compiled_models.html
index ed61b47a..0b77f1c2 100644
--- a/vignettes/compiled_models.html
+++ b/vignettes/compiled_models.html
@@ -98,19 +98,19 @@ mb.1 &lt;- microbenchmark(
smb.1 &lt;- summary(mb.1)[-1]
rownames(smb.1) &lt;- c(&quot;deSolve, not compiled&quot;, &quot;Eigenvalue based&quot;, &quot;deSolve, compiled&quot;)
print(smb.1)</code></pre>
-<pre><code>## min lq mean median uq
-## deSolve, not compiled 6585.7039 6651.4937 6685.6248 6717.2836 6735.5853
-## Eigenvalue based 971.2893 981.5618 998.2746 991.8344 1011.7673
-## deSolve, compiled 760.5522 765.4274 780.3243 770.3026 790.2103
-## max neval
-## deSolve, not compiled 6753.8871 3
-## Eigenvalue based 1031.7003 3
-## deSolve, compiled 810.1179 3</code></pre>
-<p>We see that using the compiled model is by a factor of 8.7 faster than using the R version with the default ode solver, and it is even faster than the Eigenvalue based solution implemented in R which does not need iterative solution of the ODEs:</p>
+<pre><code>## min lq mean median uq
+## deSolve, not compiled 6737.589 6818.2149 6911.3916 6898.8407 6998.2929
+## Eigenvalue based 945.433 968.8592 979.7477 992.2854 996.9051
+## deSolve, compiled 744.785 748.8107 770.7521 752.8364 783.7357
+## max neval
+## deSolve, not compiled 7097.745 3
+## Eigenvalue based 1001.525 3
+## deSolve, compiled 814.635 3</code></pre>
+<p>We see that using the compiled model is by a factor of 9.2 faster than using the R version with the default ode solver, and it is even faster than the Eigenvalue based solution implemented in R which does not need iterative solution of the ODEs:</p>
<pre class="r"><code>smb.1[&quot;median&quot;]/smb.1[&quot;deSolve, compiled&quot;, &quot;median&quot;]</code></pre>
<pre><code>## median
-## deSolve, not compiled 8.720318
-## Eigenvalue based 1.287591
+## deSolve, not compiled 9.163798
+## Eigenvalue based 1.318062
## deSolve, compiled 1.000000</code></pre>
</div>
<div id="benchmark-for-a-model-that-can-not-be-solved-with-eigenvalues" class="section level2">
@@ -128,15 +128,15 @@ smb.2 &lt;- summary(mb.2)[-1]
rownames(smb.2) &lt;- c(&quot;deSolve, not compiled&quot;, &quot;deSolve, compiled&quot;)
print(smb.2)</code></pre>
<pre><code>## min lq mean median uq
-## deSolve, not compiled 14.271472 14.285039 14.303450 14.298607 14.319440
-## deSolve, compiled 1.350642 1.390549 1.412823 1.430456 1.443914
+## deSolve, not compiled 13.955273 13.961009 14.041563 13.966745 14.084708
+## deSolve, compiled 1.350567 1.371225 1.381397 1.391882 1.396812
## max neval
-## deSolve, not compiled 14.340272 3
-## deSolve, compiled 1.457372 3</code></pre>
+## deSolve, not compiled 14.202672 3
+## deSolve, compiled 1.401743 3</code></pre>
<pre class="r"><code>smb.2[&quot;median&quot;]/smb.2[&quot;deSolve, compiled&quot;, &quot;median&quot;]</code></pre>
<pre><code>## median
-## deSolve, not compiled 9.995841
-## deSolve, compiled 1.000000</code></pre>
+## deSolve, not compiled 10.03443
+## deSolve, compiled 1.00000</code></pre>
<p>Here we get a performance benefit of a factor of 10 using the version of the differential equation model compiled from C code using the inline package!</p>
<p>This vignette was built with mkin 0.9.37 on</p>
<pre><code>## R version 3.2.1 (2015-06-18)
diff --git a/vignettes/mkin.pdf b/vignettes/mkin.pdf
index d7381e6f..f2178a99 100644
--- a/vignettes/mkin.pdf
+++ b/vignettes/mkin.pdf
Binary files differ

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