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Diffstat (limited to 'vignettes/FOCUS_L.html')
| -rw-r--r-- | vignettes/FOCUS_L.html | 90 |
1 files changed, 45 insertions, 45 deletions
diff --git a/vignettes/FOCUS_L.html b/vignettes/FOCUS_L.html index fd531133..180c0323 100644 --- a/vignettes/FOCUS_L.html +++ b/vignettes/FOCUS_L.html @@ -11,7 +11,7 @@ <meta name="author" content="Johannes Ranke" /> -<meta name="date" content="2017-05-05" /> +<meta name="date" content="2017-07-21" /> <title>Example evaluation of FOCUS Laboratory Data L1 to L3</title> @@ -223,7 +223,7 @@ div.tocify { <h1 class="title toc-ignore">Example evaluation of FOCUS Laboratory Data L1 to L3</h1> <h4 class="author"><em>Johannes Ranke</em></h4> -<h4 class="date"><em>2017-05-05</em></h4> +<h4 class="date"><em>2017-07-21</em></h4> </div> @@ -242,17 +242,17 @@ FOCUS_2006_L1_mkin <- mkin_wide_to_long(FOCUS_2006_L1)</code></pre> <p>Since mkin version 0.9-32 (July 2014), we can use shorthand notation like <code>"SFO"</code> for parent only degradation models. The following two lines fit the model and produce the summary report of the model fit. This covers the numerical analysis given in the FOCUS report.</p> <pre class="r"><code>m.L1.SFO <- mkinfit("SFO", FOCUS_2006_L1_mkin, quiet = TRUE) summary(m.L1.SFO)</code></pre> -<pre><code>## mkin version: 0.9.45 -## R version: 3.4.0 -## Date of fit: Fri May 5 12:14:02 2017 -## Date of summary: Fri May 5 12:14:02 2017 +<pre><code>## mkin version: 0.9.45.2 +## R version: 3.4.1 +## Date of fit: Fri Jul 21 18:02:22 2017 +## Date of summary: Fri Jul 21 18:02:22 2017 ## ## Equations: ## d_parent/dt = - k_parent_sink * parent ## ## Model predictions using solution type analytical ## -## Fitted with method Port using 37 model solutions performed in 0.263 s +## Fitted with method Port using 37 model solutions performed in 0.258 s ## ## Weighting: none ## @@ -324,21 +324,21 @@ summary(m.L1.SFO)</code></pre> ## 30 parent 4.0 5.251 -1.2513</code></pre> <p>A plot of the fit is obtained with the plot function for mkinfit objects.</p> <pre class="r"><code>plot(m.L1.SFO, show_errmin = TRUE, main = "FOCUS L1 - SFO")</code></pre> -<p><img src="data:image/png;base64,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" 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" /><!-- --></p> <p>The residual plot can be easily obtained by</p> <pre class="r"><code>mkinresplot(m.L1.SFO, ylab = "Observed", xlab = "Time")</code></pre> -<p><img src="data:image/png;base64,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" /><!-- --></p> +<p><img src="data:image/png;base64,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" /><!-- --></p> <p>For comparison, the FOMC model is fitted as well, and the <span class="math inline"><em>χ</em><sup>2</sup></span> error level is checked.</p> <pre class="r"><code>m.L1.FOMC <- mkinfit("FOMC", FOCUS_2006_L1_mkin, quiet=TRUE)</code></pre> <pre><code>## Warning in mkinfit("FOMC", FOCUS_2006_L1_mkin, quiet = TRUE): Optimisation by method Port did not converge. ## Convergence code is 1</code></pre> <pre class="r"><code>plot(m.L1.FOMC, show_errmin = TRUE, main = "FOCUS L1 - FOMC")</code></pre> -<p><img src="data:image/png;base64,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" 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" /><!-- --></p> <pre class="r"><code>summary(m.L1.FOMC, data = FALSE)</code></pre> -<pre><code>## mkin version: 0.9.45 -## R version: 3.4.0 -## Date of fit: Fri May 5 12:14:03 2017 -## Date of summary: Fri May 5 12:14:03 2017 +<pre><code>## mkin version: 0.9.45.2 +## R version: 3.4.1 +## Date of fit: Fri Jul 21 18:02:23 2017 +## Date of summary: Fri Jul 21 18:02:23 2017 ## ## ## Warning: Optimisation by method Port did not converge. @@ -350,7 +350,7 @@ summary(m.L1.SFO)</code></pre> ## ## Model predictions using solution type analytical ## -## Fitted with method Port using 155 model solutions performed in 0.439 s +## Fitted with method Port using 155 model solutions performed in 0.445 s ## ## Weighting: none ## @@ -419,7 +419,7 @@ FOCUS_2006_L2_mkin <- mkin_wide_to_long(FOCUS_2006_L2)</code></pre> <pre class="r"><code>m.L2.SFO <- mkinfit("SFO", FOCUS_2006_L2_mkin, quiet=TRUE) plot(m.L2.SFO, show_residuals = TRUE, show_errmin = TRUE, main = "FOCUS L2 - SFO")</code></pre> -<p><img 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" 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dkgXmB1m9ItIa4byAlKax5RlQgwxqSCxkyi9H/kN0oXynxlywr63FeqEgHGmFTQccHxwwvWa/f7oQoDXTeQFXTMSFWJAGNMKui9d6NKTvuvKiF1r7huICvoiq6qEgHGmFRQSi0WStO/3XRH5m1ZQX+OVZkIMOXnfBWZU3iUfH5f3fIhK2hGGB5wxxUpZ9njpueGO0HpI7ioHtyHP0HfmKVvJmBo+BN0QU99MwFDw5+gh2rqmwkYGv4EvYuTneA+/AlK6+zTNxUwMhwK2vsTfVMBI8OhoHPxIHCQDYeCJsvcCAr8EQ4FvROKUeOBHQ4FpTUP6ZsLGBgeBe25QN9cwMDwKOisfvrmAgaGR0F3P6JvLmBgeBQ0LdTNk2+Bf8GjoLSK0qKA6eFS0BcX65sMGBcuBZ36lr7JgHHhUtDtGFQW2OBS0OsFMvXNBgwLl4LSSr/qmw0YFj4FfVbuubfA31ApaJH7dPC0hduBvNwLOmGIwqqA2VEpaGJi4oywcvHT340p7f7uYE8DebkXdGsLhVUBs6P+K/71lneFaUa7vu5aexzIy72gVwpZ3L0N/Af1gpZcKc3WlnDX2uNAXu4FpTE/KywLmBz1gpaYKc1muR3RyONAXh4EfXmewrKAyVEv6Gvh6y3Usr6Q2694jwN5eRB0YQ+FZQGTo17QG01JZPVI0tztM748DuTlQdAT5RSWBUyOF/2glqQJgybv8HAU42kgLw+CWqIuKKwLmBuvOurvnKYej7JdDuR1vK+doBnuN++yVGFdwNx4IegnpQmh3aYo6Aj678TdnC9cWTjfRnCi+02n9VdYFzA36gX9lPRZRuj0PG6f/5E1vQu980YAyf9hlusGHr7i6QE8QgyIqBe06pv0irAyqrq71hPIEDoydMKmUUEyd2h6EjQj/F+FhQFTo17QkA2SoJtlBkCyUnYopRUnCAvv13LdwJOgtNV3CgsDpka9oLVHSYJOkhlCzkrEakoLrRcWNoa5buBR0DEJCgsDpka9oP8LHLuXXJgXJjMIp5W23S207RhhYaR3HfWUft9YYWHA1KgX1DIjkhCS712Zox8r+0PbLf+68NQdY4Nkzll6FPRWGJ5jC7zrB03bt3zbJQ/N93fKI3bUl5kt875HQekjuxRWBsyMekH77VF2Kdy1Y5t3nMqQe9ezoPEfKkoDzI0Xl9uR8iNPaM7rWdC17TUnAcZHvaBZe4aUJ3HT/9KW17OgVwrh1k7g3bl4y6HhD+VpqymvZ0Fp1Z80ZQCmwLu7Oq9//WK+PJryKhC0z8eaMgBT4IWg5+e0DQpsM9/Tcbx7FAj6eTdNGYAp8OJMEsnXcZHmE+UKBD0XrTUJMD6qBU2vvfC6DnkVCEpLn9YhETA2qgX9lXyhR14lgvbEiF5AtaCWxx7X4551JYIuf1KHRMDYqP8N+lVs3HvTZghoyqtE0NRCGDDJ71EvaCk7mvIqEZQ2TtKUA5gAPp9uZ2McniHm9zC7q9MDigQ9VFVjFmB4mN7V6QZFglpKnNWUBBgfRnd1ekSRoOhoAozu6vSIMkHR0eT3MLqr0yPKBEVHk9/D6K5OjygTFB1Nfg+juzo9olBQdDT5O4zu6vSIQkHR0eTvsLqr0xMKBUVHk7/j5ZmkU+sva8urUFB0NPk76gU93+ZNujEviTigKa9SQdHR5OeoF7RT9ArapMmZDh7vCtYwkNd90NHk56gXNHIevRawlC4r6ra5toG8bNzePG9ro60KCwSmRL2ghZbSr8k/dIXMY+usaBzIy8rOii1fb16ks8ICgSlRL2ib5nviGtMbT9Zx11rrQF4if0VtE6af5flTYYXAjKgX9GhxErKT1ghc46611oG8RKa8Ic2i8LR6f8aLbqZbBy9RutL9iO5aB/IS6WftYepSTVF9wJx40w965YdVB9Lct9Y6kJfIiPel2YCQ2wpLBCZEvaAZg/IRQiImur9gWeNAXiIHy06uF1V/askGqz02BaZFvaCjyNDjqcfiySz37V0O5LWdZDPJY0bLQ8GDvhyQv9aCZxWWCEyIekFj4qVZvJILltfKnrJXsAddH7e3f8c391VfF+Hh9wQwMV501H8jzb6NULKR7OWcCgSNt+5kx47o+JWCVMCceHGqc6A0e6ODu9bdrZDHund33UCBoAOsz7efEr8E5+P9F5WCHjlyZGuRF9cmr+kW7bafqTEp20CAVGnQwHUDBYIu6CrNHv/yZiGMOue3qBT0/kEOaeKu9b34CLEjX9NX/K1KH92j6aOrpdNn/qewSGA6VAp6+j4X3bdfF/H2XW2C0vOdIutEPPMHpSvbKCwSmA7Vv0GzlvV5tNaLc+66bSxyLu6R37UJSmnqT9fE2Z3C/yhpDUyIWkF/a0jKtOkUS6oe9rhFev9IrYLa6SE3HhgwOyoFvVW1wndi5/u+mhVuet5m1aDf5N5SJ2hSbTWtgYlQKeioMJtyFyOGa8qrTlBLrMxlpcDsqBS02Rv29bebasqrTlA6U6Y7FZgdlYKGL7CvLy6kKa9KQa9H4jDJP1EpaMXx9vXJFTXlVSko7TPecxtgQlQK2q2p7fokS7sumvKqFfRoWYzc6ZeoFHRbwIdWQxeQDZryqhWUNl6nKR8wKGr7QYeTpsuPnljbhfTWlle1oF+205YQGBO1glpWlxVPxEcu0PbsMPWC3o0+qS0jMCTqL7fLPLV2+THPZzo9oFpQOhxPYvRHuB6GJgfni/6nbwnACBhHUPoULrrzQwwk6JaaegwSCoyFgQSlDVbpWwMwAEYSdEN1jV0HwHgYSVDsQv0QQwm6EbtQv8NQgtImK/WtAnCPsQTdhF2ov2EsQemjK/QtA/COwQTFLtTfMJig2IX6G0YTdEu1DH0LAXzDUFBdxknKxePTc65b1sQP/BJX25sWVoLqMk6SK04X+8Nx9UbzRlNntXn4Ly+jAd5hJKgu4yS5ZsTzjmv9+4pXkIzGYEpmhZGgeoyTJMPtit87rBWRRlG6E46HMJsURoLqMU6SHN9Uvj98570g67zCOa/DAa5hJKge4yTJ8uSE+8vRkplp4be8Dwd4hpGgeoyTJMv5oinZywlP/zBlQlL/l7yPBriG1VG8DuMkyTO2a/bi9bJB9RuFFPldQzTAM8z6QV2Ok3R54XwbwYkq4zmSXmW5fTHhmR8mf/T9AOxBzQozQW//LvWe3/rb8cXjfe0EzVAZLwfHou0HRfgNanIYCXr3rbyk0l5hYaHMdpq+4imdVd96Zz6O4s0OI0En5hv7RdMCKcwEtXQaZl1AP6jJYSRo7Fjh2z2uMzNBaWr5rdJ8QG/xZ+772h61B/iFkaDBm4XJoYD9zASlu0pIv25vtGg49ePWtXEu3qwwErTyR+K0Z43bzASlI9tJXQSWtfEDv8LVTKaFkaDj8r+3m9Kr0e3fZiZoRtMRWkMA/mEkaHpCcKww+60aYSYovRo7R3MMwDvM+kEzL4jTrB/muX5bB0Hp2ZJ46rLpMdotHzk4WCxZhyiAZwwtKF0ffUqPMIBfjC0onRt7VZc4gFcMLih972GM8GVqjC4onVjxrE6RAI8YXlA6pzyG/zAxxheULikld28zMD4mEJSuLI7Buk2LGQSlm6NkTgcAw2MKQenpWj1wSb05MYeg9M6rtXEwb0pMIiils4qv1zki4AHTCEp/rPBKqt4xgc8xj6D0VkLJz3UPCnyMiQSldG+1Jy4yCAt8iKkEpemjio7H4bypMJeglP7et/hEzYPZA34wm6CUHmz10EoMBWIazCcopVvrxyZ68UU/unZMJ9y+zBtmFJTSQy8VHqjycCmtREiX3pXyyj2ND/gIcwpK6ek3C3f7Ts2INR2jxJ+u7+TDKDd8YVZBKb2+4NHibx9R3DxsrjTLj4HC+MK8ggqceb9C7Ls/KnvsSOBuaVbkI5YFueXH9wctSvfczM8wtaCUWg6PrlPs1ZWXPbeM+ECcZgRuZV2SDJmvVBo7o3PMLz5Kzy0mF1Tk/JwnImoOXOvh9s/XQ09RmtW60IOpKTcfPybuPRc/bPHY0r/wA0EFMg9Mfjy8cveZe+/It2maJ7Z+WMEDD66onDTa9umz7RP+rHzcVwVwin8IKpL1y2f964VUfXbcmjOuf5Vuf+mJSb7r4S9Xr83yTcOi6m3xWQW+5tj0MWty/2UMN5isNu4dWzrsiQrBsU8M/mTjL1ydtS/zmDj9PtBf96CWfgWKhBeplOuyc8MNJqsH6b+sndK3XdWQonWf6jd24XcHznOgapla4lPMPw496OtCfMTU/P1/vvhlREXn1403mKyOXDr4zSfv9+oYVyY4tGy9ts/3GzFl/orNe39OSXWz62dFhZ5l3vmwVY1HfdWL4GtKPCtOf83rvEcz3mCyTEg7t3/z0rnj4vt0a9uwWrnIoKDIsjFxDVs/2e2lvm8lDJs4cdb8+V+tWLEpKWn7oUOHfjor8GeqiH7H3G3WHJ08YuXtEim6RTQWQZukWaHpTq8/2MFkD7S2EzhNVbwHzb3U388c2pv07YrP58+aOCEhYWDfvi9069audeuWcXFxtSsKlIwUCZDG0yMFI22UqJiDh+M80Dj7A3k4tEnr1q3KFm3tp+Sp0bq1IGeo847rwQ4mm5Zkp9IPquJxzs1UG3+dzcHRQx7Yk/2BJL0V0bBVdJM1SX5KxbKbks7S+XmdnwXnq8FkG+LRs85c+XaJvx7CC+wJKT1+TsfQ55xf99VgshAU5CSpbESx0IRcd0M82MFk7wNBgROWcz+5ONHnqzNJEBQoAoICroGggGt8Jehj2V2H9wkjAcxgGJolBi07T+4/rrcEKh3HRWdB76TmZmmrc8wos4tZ6JGvMQt9KpBZ6HM9PmAW+vtKLv66XnJdqVE6C+qKb59kF7vCOWahpw9mFjojkFlo2n8us9AnqjALLQ8ElQOCOgNB1QNBnYGgqoGgzkBQ5UBQOSCoMxBUPRDUGQiqGgjqDARVDgSVA4I6Y1ZBTzMcjmt0GrPQu9cyC215x3Mbb1m5j1no6+OYhZbnAQgKgPdAUMA1EBRwDQQFXANBAddAUMA1EBRwDQQFXANBAddAUMA1EBRwDQQFXANBAdewF3RR3fBmu5lEXiU9yKwXg8iD4qUZi9KtoRmUnv5hbEjVSeJTunQvOzs0u09cFuaCLiGDV3cOVj52oQomRiUK7NA9btbGUMkiBqXbQzMoPSH/+E2j873Fouzs0Kw+cTewFtRS83lKM2J7s4jduw2LqHRNAUJEixiUbg/NoPTM4OHCdGzgbf3Lzg7N6hN3B2tBz5NVwjQhmkXsFgP+PZyqf9jU48dLixYxKN0emkHpF2LFb/UvyO/6l50dmtUn7g7WgiYTcQCWxAAWw2GXjg0ipIuCATtVEyNaxKZ0KTSr0m81jclk9ImLoRl+4rKwFnQDEZ8StZRc0j/0neC2v95YV/gp/SNbLWJTuhSaUemH4wrsYVS2FJrhJy4L+z3oYWE6LyDXM6D1Yga5pn9Q2x6URenWPaiEzqVffSWgcwqbsm2hrTD5xGVh/xt0nTAdUZxZgo1E6YP8VBBj/Q3KonQHQfUt/WSJ6vvFOYOy7aGtMPnEZWF+FF+9F6VZtV5lEDopf5IwHRnuegxZTUgWsSldCs2g9Kxq7W5LC/qXnR2a4ScuC/N+0C8Cpu7pEyw3tqcWMuuWmrTxvSAW94Fbd3NMSpdCMyh9N3l7ocgt/cvODs3wE5eF/ZmkxbULNpUZ2VMjf78SHVb/a/2GLbyP7XuYRenW0PqXPs86OB75W/+y74dm94nLgnPxgGsgKOAaCAq4BoICroGggGsgKOAaCAq4BoICroGggGsgKOAaCAq4BoICroGggGsgKOAaCAq4BoICroGggGsgKOAaCAq4BoICroGggGsgKOAaCAq4BoICroGggGsgKOAanQVdNxEABUy55RtBG76UAIBniv2fjwRN1jceMCm1ICjgGQgKuAaCAq6BoIBrICjgGggKuAaCAq6BoIBrjC/ojg9Hb3igw0mAB4nRBb3dqfqIMfWbXtUnGuCOByuoJdVOnE6Cxr+YIYQd/Lw+0QB3PFhBd0baCZipRzxKo86L0//ClV7zAgyGr77iCyzUJcy9IOu8wjldwgHuMLigtOhFcXo7PE2fcIA3jC7ooJ5ZwnRYN32iAe4wuqBpbet8NLlZ/Uv6RAPcYXRBKd04fOiqLL2CAd4wvqDA1EBQwDUQFHANBAVcA0EB10BQwDXGF3T/tEk79IoFuMPogqa/GDPk3ZrtrusTDXCH0QUd9nQ6pZn9XtYnGuAOLwU9tf6ytrx6CRotXcZ0M/y2PuEAb6gX9HybN+nGvCTigKa8uNwOKEK9oJ2iV9AmTc50aK8pr1570MJ/idP08Jv6hAO8oV7QyHn0WsBSuqyoprx6Cdr/dfGGuTGd9YkGuEO9oIWW0q/JP3RFmKa8egl6vWnjGXPb1vxTn2iAO9QL2qb5nrjG9MaTdTTl1a0f1LJqUP8lGToFA9yhXtCjxUnITlojcI3nba6dypR7C2eSgCK86Ga6dfASpSt/ddu61w5KLz9JSPhcmWcqQFCgCEYd9SSR0s6FZ2waGbTCdYPcgmYueKZ1/B+qsgDzo1LQRAfctk6k/5JvhYXhj7hukEvQtEbtVyaNiPpeYTnAT1ApaBEH3LZOpIeIeCvwhhwH+ztINpOctni/h9SgLI53gCPsvuKvBp4QFiaWdN0g1x609n5p9vBBVXmA2fFa0F9nuG0d1WbAQ+0oTSr1musGuQQtbz1Z2WarwnoYcGYXdt/coV5Qy9Kh8QKN6rlrvWpi7xalgynNH/eP6wa5BG27Wpzei/5dYT26szAsIDCgw11fpQeuUS/o2IBaQVH1C4bt8LjJHWEPKtcRmkvQbyqfofTum08pLEd3luYZSunuyDhf5QeuUS9o+Xi6uB292WCtpry5u5kSox5/sdzTqZqiaqC09ATHcwGnfFUAcIl6QfN9Qy9EZNFvGmrK66Kj/t+NX/2iKaYmgqw/fiOn+q4E4AL1gkZPppYi++gePi4W0Y1866RZwTk+rgPkRL2gvaM+p22fv/hGZU15uRO0WjNxujPgis8q+PnjD76RvXbBb6dmcsIAAArdSURBVFEv6PWXO9OfgkneJZrycifogbzN9v0zMshnzxK3xJd6a1TTOim+ys8rXvaDXtt6Vlte7gSlRx7KGxA+3mfp/9fghjCdpu2XvQkx+l2dpqHpFnFqKX/C14VwhnpBO9oYqikvBHWifIo0a7vFt2Vwh3pBewq83L7QQ59qygtBnWiwS5rFHvNxHbzh7Vf89ZbzNeWFoE7MaHNPmC6piUHzcuL1b9DtNTXlhaBOZLxYsXPnpuWwA3XCa0HXm6yj3tdYhhWpU6di3Hlf18Eb6gVdIjGzTHNNeSGoE4vrXROmE5v4ug7eUC9ofomQhu7vmvMEBHWi2WZxain3m68L8Rn/N2306twX5PLUD3rhZz++GtPfu5ksg0oPGdWyZq7zP/wIur1qmeqFRt/TN41xeOQHaVZF6d/DbCyo26VQSK1Xc91j6f1Ncx08bZFxyY1tuQTdX0L4jvvz8f4KyzEd09qLX2/Lq/lrN1O9wlOvZ+ysXtj5l6P6245nhJWLn/5uTOndbpsf6VU8gAQUf/WozPu5BO0qvXAjUuNzRw3LvW41pnzavcwRX9fhKwpIZyYvBq1zel39V/zrLcVfihnt+rpr/UNwbELi0sQRtYL3yNTjLGjMGWn2mP/eGL8l/rXZ//m6CJ8R8pnj7D7qBS25UpqtLeGu9aNdrMdjWb2buW6QS9Bq1i7qhu53zMCsFGuYLkw/C9vm9Lp6QUvMlGazyrhrXXC1beHHcMeXd0TaISGRkUUuUNoz0jbPHyzOf8sf4fQ65v4xzxeYJ/SDruWCnP/+gTvVCvpa+HoLtawv5PYrvvY7toXJdXO8fi3VRoFZqaniBZB3U23zE6UHHPp7WdkFqU6vY+4f8+Rig4e8Nbb+e86v11C9B73RlERWjyTN3T50+1PywqpDpw6v6xXg/JvCRu5upqsDH4pujy94v+Voy7BipeblGljdi35QS9KEQZN3eOgO+aKG9ASmGnI3huBMEnDmjqseHGYd9ZbzyRuSz8tqDEGBItQK2nP2DDua8kJQoAi1gpKnS9nRlBeCAkWoFTRNpyHdIChQhNGHQgQmx+BDIQKzY/ShEIHJMfpQiMDkGH0oRGByDD8UIjA3TIdCdAMEBYpgNBSiRyAoUIRX/aB3TlOtt85AUKAILwT9pDQhtNsUbYpCUKAI9YJ+SvosI3R6nk805YWgQBHqBa36Jr0irIyqrikvBAWKUC9oyAZJ0M0hmvJCUKAI9YLWHiUJOqmGprwQFChCvaD/Cxy7l1yYF6ZtxCsIChThxWCyMyIJIfnezXV7kyogKFCEN/2gafuWb7ukMS8EBYp4sE+321nRTp5JCprv6vVY77165AWGRa2gN7csPmih9NbxrR29yJZ17qyNMAV70ISYxG1zyo/2Ig8wDSoF/aWM8Pvzjf+LDRBmmvIq+IpPrnBdmP5bRu4BecAfUCnoE4W/OrasaMmGy7bsS9OUV4Ggw8dIs2EfaEoEjI1KQYuOEyYTSIrmvAoE7Wc9mTp9sOZkwLioFJQsFyYrifbHACsQdHpvadYjUXMyYFzUCio+HHStDkf0CgS9VPw7YbqqRKr2bMCwcCwo3Rvb8OX61Q9qTwaMC8+C0ns7P9+de+Qc4E+oFTQwf/78gUQay0tTXpxJAopQKegIBzTlhaBAEfwM5AWACyAo4Bq+Bb1y4Kq+aYHRYCiouqEQXZDSsUj9yM4XVCcGJoKVoKqHQszNfxWnZNC742LvqMsMTAUjQdUPhZib+c9Is45yA4UAf4CRoOqHQszNgNnSbGq8qszAXDASVGYoxPsoEDR+ojQbM1JVZmAuGAkqNxRiNgoE3VhHPMhKr6Z0sEZgRhgJ6sVQiLmwdGm56+/tj76oKjEwGayO4vUYCjFrfsPoxou03d4MDA6GQgRcw/eZJOD3QFDANQ9W0B/j7OSdpkc8YHoYCRp/H8eX7x0+ZKO6zBkmAHLASNBBIaR0jBXXDRomq4oH/BVWX/HryXG370NQoAhWgmaFQlCgA8wOkla7v50dggJF+KqbCYICRTAVNEH+MbcQFCiCqaDkhOxbEBQoAoICroGggGuYCpr0n+xbEBQoAkfxgGt8Juiw+bkY364HMx7rzix05yeYhe7Rkl3ojl2ZhX6hc+4/rreU8pGgC/vmpkWBqswIqsQsdPHCzEJXCWAWumpkNLPQFUNc/HW9ZOAN3wjqim+fZBe7wjlmoRk+RD8jkFlo2n8us9AnqjALLQ8ElQOCOgNB1QNBnYGgqoGgzkBQ5UBQOSCoMxBUPRDUGQiqGgjqDARVDgSVA4I6Y1ZBN3VhF7syuwc1zx7KLHRmGLPQdOACZqFP12AWWp4HIGjmNXaxGT7r/o78JTGaYVh2Wjq72L4YWeABCAqA90BQwDUQFHANBAVcA0EB10BQwDUQFHANBAVcA0EB10BQwDUQFHANBAVcA0EB17AXdFHd8Ga7mUReJY1614tB5EHWMSJYlG4NzaD09A9jQ6pOuksZlJ0dmt0nLgtzQZeQwas7Bx9hEXpiVKLADt3jZm0MlSxiULo9NIPSE/KP3zQ631ssys4OzeoTdwNrQS01n6c0I7Y3i9i927CIStcUIES0iEHp9tAMSs8MHi5Mxwbe1r/s7NCsPnF3sBb0PFklTBOiWcRuMeDfw+4fme8VqcePlxYtYlC6PTSD0i/Eit/qX5Df9S87OzSrT9wdrAVNJgeFaWJABoPYpWODCOlymUHkGNEiNqVLoVmVfqtpTCajT1wMzfATl4W1oBvIKWG6lMg/1t5r7gS3/fXGusJP6R/ZahGb0qXQjEo/HFdgD6OypdAMP3FZ2O9BDwvTeQF3WSWYQRjc8mTbg7IoPeb+IJI6l371lYDOKWzKtoW2wuQTl4X9b9B1wnREcWYJNko7DJ2Jsf4GZVG6g6D6ln6yRPX94pxB2fbQVph84rIwP4qv3ovSrFqvMgidlD9JmI4Mz9Q/tGQRm9Kl0AxKz6rW7ra0oH/Z2aEZfuKyMO8H/SJg6p4+wUcZRM6sW2rSxveCWDyowLqbY1K6FJpB6bvJ2wtFbulfdnZohp+4LOzPJC2uXbApm0G6/34lOqz+1xYGkW3fwyxKt4bWv/R5xMrf+pd9PzS7T1wWnIsHXANBAddAUMA1EBRwDQQFXANBAddAUMA1EBRwDQQFXANBAddAUMA1EBRwDQQFXANBAddAUMA1EBRwDQQFXANBAddAUMA1EBRwDQQFXANBAddAUMA1EBRwDQQFXANBAddAUL152vagGDLO15WYAgiqN3tXrlxZurEw+TWN9PR1McYHgrKg+nPi9PbTs31diPGBoCywCkpLzaC03Of9y1SY80eHImWXUnEIo9Dqi3xbm8GAoCxwFLTchsyxpMr+jB7Bt+nMwBHrB5BPfFydoYCgLHAU9BVK/yAfUrqNnEyLHCu82qe0b4szFhCUBY6CTqQ0Qxy66Dg5sY/suXLlyjJyx8flGQkIygJHQaeIgq6VBF1u64B6kIMQGB0IygIZQbeRiz4uzHhAUBbICHopaJ7w6oxuD/Qh7wYHgrJARlA6tMCULaPzTvZxdYYCgrLApaA1/6BZU6qFVJmLHagKICjgGggKuAaCAq6BoIBrICjgGggKuAaCAq6BoIBrICjgGggKuAaCAq6BoIBrICjgGggKuAaCAq6BoIBrICjgGggKuAaCAq6BoIBrICjgGggKuAaCAq6BoIBrICjgmv8HGKHWHxp5+IgAAAAASUVORK5CYII=" /><!-- --></p> <p>The <span class="math inline"><em>χ</em><sup>2</sup></span> error level of 14% suggests that the model does not fit very well. This is also obvious from the plots of the fit, in which we have included the residual plot.</p> <p>In the FOCUS kinetics report, it is stated that there is no apparent systematic error observed from the residual plot up to the measured DT90 (approximately at day 5), and there is an underestimation beyond that point.</p> <p>We may add that it is difficult to judge the random nature of the residuals just from the three samplings at days 0, 1 and 3. Also, it is not clear <em>a priori</em> why a consistent underestimation after the approximate DT90 should be irrelevant. However, this can be rationalised by the fact that the FOCUS fate models generally only implement SFO kinetics.</p> @@ -430,19 +430,19 @@ plot(m.L2.SFO, show_residuals = TRUE, show_errmin = TRUE, <pre class="r"><code>m.L2.FOMC <- mkinfit("FOMC", FOCUS_2006_L2_mkin, quiet = TRUE) plot(m.L2.FOMC, show_residuals = TRUE, main = "FOCUS L2 - FOMC")</code></pre> -<p><img src="data:image/png;base64,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" 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" /><!-- --></p> <pre class="r"><code>summary(m.L2.FOMC, data = FALSE)</code></pre> -<pre><code>## mkin version: 0.9.45 -## R version: 3.4.0 -## Date of fit: Fri May 5 12:14:04 2017 -## Date of summary: Fri May 5 12:14:04 2017 +<pre><code>## mkin version: 0.9.45.2 +## R version: 3.4.1 +## Date of fit: Fri Jul 21 18:02:24 2017 +## Date of summary: Fri Jul 21 18:02:24 2017 ## ## Equations: ## d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent ## ## Model predictions using solution type analytical ## -## Fitted with method Port using 81 model solutions performed in 0.171 s +## Fitted with method Port using 81 model solutions performed in 0.246 s ## ## Weighting: none ## @@ -500,12 +500,12 @@ plot(m.L2.FOMC, show_residuals = TRUE, <pre class="r"><code>m.L2.DFOP <- mkinfit("DFOP", FOCUS_2006_L2_mkin, quiet = TRUE) plot(m.L2.DFOP, show_residuals = TRUE, show_errmin = TRUE, main = "FOCUS L2 - DFOP")</code></pre> -<p><img src="data:image/png;base64,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" 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" /><!-- --></p> <pre class="r"><code>summary(m.L2.DFOP, data = FALSE)</code></pre> -<pre><code>## mkin version: 0.9.45 -## R version: 3.4.0 -## Date of fit: Fri May 5 12:14:05 2017 -## Date of summary: Fri May 5 12:14:05 2017 +<pre><code>## mkin version: 0.9.45.2 +## R version: 3.4.1 +## Date of fit: Fri Jul 21 18:02:24 2017 +## Date of summary: Fri Jul 21 18:02:24 2017 ## ## Equations: ## d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * @@ -583,7 +583,7 @@ FOCUS_2006_L3_mkin <- mkin_wide_to_long(FOCUS_2006_L3)</code></pre> mm.L3 <- mmkin(c("SFO", "FOMC", "DFOP"), cores = 1, list("FOCUS L3" = FOCUS_2006_L3_mkin), quiet = TRUE) plot(mm.L3)</code></pre> -<p><img src="data:image/png;base64,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" 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" /><!-- --></p> <p>The <span class="math inline"><em>χ</em><sup>2</sup></span> error level of 21% as well as the plot suggest that the SFO model does not fit very well. The FOMC model performs better, with an error level at which the <span class="math inline"><em>χ</em><sup>2</sup></span> test passes of 7%. Fitting the four parameter DFOP model further reduces the <span class="math inline"><em>χ</em><sup>2</sup></span> error level considerably.</p> </div> <div id="accessing-mmkin-objects" class="section level2"> @@ -591,10 +591,10 @@ plot(mm.L3)</code></pre> <p>The objects returned by mmkin are arranged like a matrix, with models as a row index and datasets as a column index.</p> <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> <pre class="r"><code>summary(mm.L3[["DFOP", 1]])</code></pre> -<pre><code>## mkin version: 0.9.45 -## R version: 3.4.0 -## Date of fit: Fri May 5 12:14:06 2017 -## Date of summary: Fri May 5 12:14:06 2017 +<pre><code>## mkin version: 0.9.45.2 +## R version: 3.4.1 +## Date of fit: Fri Jul 21 18:02:25 2017 +## Date of summary: Fri Jul 21 18:02:25 2017 ## ## Equations: ## d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * @@ -603,7 +603,7 @@ plot(mm.L3)</code></pre> ## ## Model predictions using solution type analytical ## -## Fitted with method Port using 137 model solutions performed in 0.348 s +## Fitted with method Port using 137 model solutions performed in 0.371 s ## ## Weighting: none ## @@ -670,7 +670,7 @@ plot(mm.L3)</code></pre> ## 91 parent 15.0 15.18 -0.18181 ## 120 parent 12.0 10.19 1.81395</code></pre> <pre class="r"><code>plot(mm.L3[["DFOP", 1]], show_errmin = TRUE)</code></pre> -<p><img 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" 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" /><!-- --></p> <p>Here, a look to the model plot, the confidence intervals of the parameters and the correlation matrix suggest that the parameter estimates are reliable, and the DFOP model can be used as the best-fit model based on the <span class="math inline"><em>χ</em><sup>2</sup></span> error level criterion for laboratory data L3.</p> <p>This is also an example where the standard t-test for the parameter <code>g_ilr</code> is misleading, as it tests for a significant difference from zero. In this case, zero appears to be the correct value for this parameter, and the confidence interval for the backtransformed parameter <code>g</code> is quite narrow.</p> </div> @@ -688,20 +688,20 @@ mm.L4 <- mmkin(c("SFO", "FOMC"), cores = 1, list("FOCUS L4" = FOCUS_2006_L4_mkin), quiet = TRUE) plot(mm.L4)</code></pre> -<p><img src="data:image/png;base64,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" 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" /><!-- --></p> <p>The <span class="math inline"><em>χ</em><sup>2</sup></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"><em>χ</em><sup>2</sup></span> test passes is slightly lower for the FOMC model. However, the difference appears negligible.</p> <pre class="r"><code>summary(mm.L4[["SFO", 1]], data = FALSE)</code></pre> -<pre><code>## mkin version: 0.9.45 -## R version: 3.4.0 -## Date of fit: Fri May 5 12:14:06 2017 -## Date of summary: Fri May 5 12:14:06 2017 +<pre><code>## mkin version: 0.9.45.2 +## R version: 3.4.1 +## Date of fit: Fri Jul 21 18:02:26 2017 +## Date of summary: Fri Jul 21 18:02:26 2017 ## ## Equations: ## d_parent/dt = - k_parent_sink * parent ## ## Model predictions using solution type analytical ## -## Fitted with method Port using 46 model solutions performed in 0.096 s +## Fitted with method Port using 46 model solutions performed in 0.098 s ## ## Weighting: none ## @@ -751,17 +751,17 @@ plot(mm.L4)</code></pre> ## DT50 DT90 ## parent 106 352</code></pre> <pre class="r"><code>summary(mm.L4[["FOMC", 1]], data = FALSE)</code></pre> -<pre><code>## mkin version: 0.9.45 -## R version: 3.4.0 -## Date of fit: Fri May 5 12:14:06 2017 -## Date of summary: Fri May 5 12:14:06 2017 +<pre><code>## mkin version: 0.9.45.2 +## R version: 3.4.1 +## Date of fit: Fri Jul 21 18:02:26 2017 +## Date of summary: Fri Jul 21 18:02:26 2017 ## ## Equations: ## d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent ## ## Model predictions using solution type analytical ## -## Fitted with method Port using 66 model solutions performed in 0.138 s +## Fitted with method Port using 66 model solutions performed in 0.141 s ## ## Weighting: none ## |