diff options
Diffstat (limited to 'docs/dev/reference/saem.html')
| -rw-r--r-- | docs/dev/reference/saem.html | 427 |
1 files changed, 231 insertions, 196 deletions
diff --git a/docs/dev/reference/saem.html b/docs/dev/reference/saem.html index 59589378..98faad6f 100644 --- a/docs/dev/reference/saem.html +++ b/docs/dev/reference/saem.html @@ -74,7 +74,7 @@ Expectation Maximisation algorithm (SAEM)." /> </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">0.9.50.4</span> + <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.5</span> </span> </div> @@ -158,9 +158,13 @@ Expectation Maximisation algorithm (SAEM).</p> <span class='va'>object</span>, transformations <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'>"mkin"</span>, <span class='st'>"saemix"</span><span class='op'>)</span>, degparms_start <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/numeric.html'>numeric</a></span><span class='op'>(</span><span class='op'>)</span>, + test_log_parms <span class='op'>=</span> <span class='cn'>FALSE</span>, + conf.level <span class='op'>=</span> <span class='fl'>0.6</span>, solution_type <span class='op'>=</span> <span class='st'>"auto"</span>, - control <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span>displayProgress <span class='op'>=</span> <span class='cn'>FALSE</span>, print <span class='op'>=</span> <span class='cn'>FALSE</span>, save <span class='op'>=</span> <span class='cn'>FALSE</span>, save.graphs <span class='op'>=</span> - <span class='cn'>FALSE</span><span class='op'>)</span>, + nbiter.saemix <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'>300</span>, <span class='fl'>100</span><span class='op'>)</span>, + control <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span>displayProgress <span class='op'>=</span> <span class='cn'>FALSE</span>, print <span class='op'>=</span> <span class='cn'>FALSE</span>, nbiter.saemix <span class='op'>=</span> <span class='va'>nbiter.saemix</span>, + save <span class='op'>=</span> <span class='cn'>FALSE</span>, save.graphs <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span>, + fail_with_errors <span class='op'>=</span> <span class='cn'>TRUE</span>, verbose <span class='op'>=</span> <span class='cn'>FALSE</span>, quiet <span class='op'>=</span> <span class='cn'>FALSE</span>, <span class='va'>...</span> @@ -174,6 +178,7 @@ Expectation Maximisation algorithm (SAEM).</p> solution_type <span class='op'>=</span> <span class='st'>"auto"</span>, transformations <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'>"mkin"</span>, <span class='st'>"saemix"</span><span class='op'>)</span>, degparms_start <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/numeric.html'>numeric</a></span><span class='op'>(</span><span class='op'>)</span>, + test_log_parms <span class='op'>=</span> <span class='cn'>FALSE</span>, verbose <span class='op'>=</span> <span class='cn'>FALSE</span>, <span class='va'>...</span> <span class='op'>)</span> @@ -206,13 +211,35 @@ SFO or DFOP is used for the parent and there is either no metabolite or one.</p> be used to override the starting values obtained from the 'mmkin' object.</p></td> </tr> <tr> + <th>test_log_parms</th> + <td><p>If TRUE, an attempt is made to use more robust starting +values for population parameters fitted as log parameters in mkin (like +rate constants) by only considering rate constants that pass the t-test +when calculating mean degradation parameters using <a href='mean_degparms.html'>mean_degparms</a>.</p></td> + </tr> + <tr> + <th>conf.level</th> + <td><p>Possibility to adjust the required confidence level +for parameter that are tested if requested by 'test_log_parms'.</p></td> + </tr> + <tr> <th>solution_type</th> <td><p>Possibility to specify the solution type in case the automatic choice is not desired</p></td> </tr> <tr> + <th>nbiter.saemix</th> + <td><p>Convenience option to increase the number of +iterations</p></td> + </tr> + <tr> <th>control</th> - <td><p>Passed to <a href='https://rdrr.io/pkg/saemix/man/saemix.html'>saemix::saemix</a></p></td> + <td><p>Passed to <a href='https://rdrr.io/pkg/saemix/man/saemix.html'>saemix::saemix</a>.</p></td> + </tr> + <tr> + <th>fail_with_errors</th> + <td><p>Should a failure to compute standard errors +from the inverse of the Fisher Information Matrix be a failure?</p></td> </tr> <tr> <th>verbose</th> @@ -261,33 +288,39 @@ using <a href='mmkin.html'>mmkin</a>.</p> state.ini <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><span class='op'>)</span>, fixed_initials <span class='op'>=</span> <span class='st'>"parent"</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span> <span class='va'>f_saem_p0_fixed</span> <span class='op'><-</span> <span class='fu'>saem</span><span class='op'>(</span><span class='va'>f_mmkin_parent_p0_fixed</span><span class='op'>)</span> </div><div class='output co'>#> Running main SAEM algorithm -#> [1] "Mon Jan 25 14:41:42 2021" +#> [1] "Fri Jun 11 10:56:49 2021" #> .... #> Minimisation finished -#> [1] "Mon Jan 25 14:41:43 2021"</div><div class='input'> +#> [1] "Fri Jun 11 10:56:51 2021"</div><div class='input'> <span class='va'>f_mmkin_parent</span> <span class='op'><-</span> <span class='fu'><a href='mmkin.html'>mmkin</a></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='st'>"SFO"</span>, <span class='st'>"FOMC"</span>, <span class='st'>"DFOP"</span><span class='op'>)</span>, <span class='va'>ds</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span> <span class='va'>f_saem_sfo</span> <span class='op'><-</span> <span class='fu'>saem</span><span class='op'>(</span><span class='va'>f_mmkin_parent</span><span class='op'>[</span><span class='st'>"SFO"</span>, <span class='op'>]</span><span class='op'>)</span> </div><div class='output co'>#> Running main SAEM algorithm -#> [1] "Mon Jan 25 14:41:45 2021" +#> [1] "Fri Jun 11 10:56:53 2021" #> .... #> Minimisation finished -#> [1] "Mon Jan 25 14:41:46 2021"</div><div class='input'><span class='va'>f_saem_fomc</span> <span class='op'><-</span> <span class='fu'>saem</span><span class='op'>(</span><span class='va'>f_mmkin_parent</span><span class='op'>[</span><span class='st'>"FOMC"</span>, <span class='op'>]</span><span class='op'>)</span> +#> [1] "Fri Jun 11 10:56:54 2021"</div><div class='input'><span class='va'>f_saem_fomc</span> <span class='op'><-</span> <span class='fu'>saem</span><span class='op'>(</span><span class='va'>f_mmkin_parent</span><span class='op'>[</span><span class='st'>"FOMC"</span>, <span class='op'>]</span><span class='op'>)</span> </div><div class='output co'>#> Running main SAEM algorithm -#> [1] "Mon Jan 25 14:41:47 2021" +#> [1] "Fri Jun 11 10:56:54 2021" #> .... #> Minimisation finished -#> [1] "Mon Jan 25 14:41:49 2021"</div><div class='input'><span class='va'>f_saem_dfop</span> <span class='op'><-</span> <span class='fu'>saem</span><span class='op'>(</span><span class='va'>f_mmkin_parent</span><span class='op'>[</span><span class='st'>"DFOP"</span>, <span class='op'>]</span><span class='op'>)</span> +#> [1] "Fri Jun 11 10:56:57 2021"</div><div class='input'><span class='va'>f_saem_dfop</span> <span class='op'><-</span> <span class='fu'>saem</span><span class='op'>(</span><span class='va'>f_mmkin_parent</span><span class='op'>[</span><span class='st'>"DFOP"</span>, <span class='op'>]</span><span class='op'>)</span> </div><div class='output co'>#> Running main SAEM algorithm -#> [1] "Mon Jan 25 14:41:49 2021" +#> [1] "Fri Jun 11 10:56:57 2021" #> .... #> Minimisation finished -#> [1] "Mon Jan 25 14:41:52 2021"</div><div class='input'> +#> [1] "Fri Jun 11 10:57:00 2021"</div><div class='input'> <span class='co'># The returned saem.mmkin object contains an SaemixObject, therefore we can use</span> <span class='co'># functions from saemix</span> <span class='kw'><a href='https://rdrr.io/r/base/library.html'>library</a></span><span class='op'>(</span><span class='va'>saemix</span><span class='op'>)</span> </div><div class='output co'>#> <span class='message'>Package saemix, version 3.1.9000</span> -#> <span class='message'> please direct bugs, questions and feedback to emmanuelle.comets@inserm.fr</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/compare.saemix.html'>compare.saemix</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span><span class='va'>f_saem_sfo</span><span class='op'>$</span><span class='va'>so</span>, <span class='va'>f_saem_fomc</span><span class='op'>$</span><span class='va'>so</span>, <span class='va'>f_saem_dfop</span><span class='op'>$</span><span class='va'>so</span><span class='op'>)</span><span class='op'>)</span> -</div><div class='output co'>#> <span class='error'>Error in compare.saemix(list(f_saem_sfo$so, f_saem_fomc$so, f_saem_dfop$so)): 'compare.saemix' requires at least two models.</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html'>plot</a></span><span class='op'>(</span><span class='va'>f_saem_fomc</span><span class='op'>$</span><span class='va'>so</span>, plot.type <span class='op'>=</span> <span class='st'>"convergence"</span><span class='op'>)</span> +#> <span class='message'> please direct bugs, questions and feedback to emmanuelle.comets@inserm.fr</span></div><div class='output co'>#> <span class='message'></span> +#> <span class='message'>Attaching package: ‘saemix’</span></div><div class='output co'>#> <span class='message'>The following object is masked from ‘package:RxODE’:</span> +#> <span class='message'></span> +#> <span class='message'> phi</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/compare.saemix.html'>compare.saemix</a></span><span class='op'>(</span><span class='va'>f_saem_sfo</span><span class='op'>$</span><span class='va'>so</span>, <span class='va'>f_saem_fomc</span><span class='op'>$</span><span class='va'>so</span>, <span class='va'>f_saem_dfop</span><span class='op'>$</span><span class='va'>so</span><span class='op'>)</span> +</div><div class='output co'>#> <span class='message'>Likelihoods calculated by importance sampling</span></div><div class='output co'>#> AIC BIC +#> 1 624.2484 622.2956 +#> 2 467.7096 464.9757 +#> 3 495.4373 491.9222</div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html'>plot</a></span><span class='op'>(</span><span class='va'>f_saem_fomc</span><span class='op'>$</span><span class='va'>so</span>, plot.type <span class='op'>=</span> <span class='st'>"convergence"</span><span class='op'>)</span> </div><div class='output co'>#> Plotting convergence plots</div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html'>plot</a></span><span class='op'>(</span><span class='va'>f_saem_fomc</span><span class='op'>$</span><span class='va'>so</span>, plot.type <span class='op'>=</span> <span class='st'>"individual.fit"</span><span class='op'>)</span> </div><div class='img'><img src='saem-1.png' alt='' width='700' height='433' /></div><div class='output co'>#> Plotting individual fits</div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html'>plot</a></span><span class='op'>(</span><span class='va'>f_saem_fomc</span><span class='op'>$</span><span class='va'>so</span>, plot.type <span class='op'>=</span> <span class='st'>"npde"</span><span class='op'>)</span> </div><div class='img'><img src='saem-2.png' alt='' width='700' height='433' /></div><div class='output co'>#> Simulating data using nsim = 1000 simulated datasets @@ -324,11 +357,13 @@ using <a href='mmkin.html'>mmkin</a>.</p> <span class='va'>f_mmkin_parent_tc</span> <span class='op'><-</span> <span class='fu'><a href='https://rdrr.io/r/stats/update.html'>update</a></span><span class='op'>(</span><span class='va'>f_mmkin_parent</span>, error_model <span class='op'>=</span> <span class='st'>"tc"</span><span class='op'>)</span> <span class='va'>f_saem_fomc_tc</span> <span class='op'><-</span> <span class='fu'>saem</span><span class='op'>(</span><span class='va'>f_mmkin_parent_tc</span><span class='op'>[</span><span class='st'>"FOMC"</span>, <span class='op'>]</span><span class='op'>)</span> </div><div class='output co'>#> Running main SAEM algorithm -#> [1] "Mon Jan 25 14:41:55 2021" +#> [1] "Fri Jun 11 10:57:03 2021" #> .... #> Minimisation finished -#> [1] "Mon Jan 25 14:42:00 2021"</div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/compare.saemix.html'>compare.saemix</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span><span class='va'>f_saem_fomc</span><span class='op'>$</span><span class='va'>so</span>, <span class='va'>f_saem_fomc_tc</span><span class='op'>$</span><span class='va'>so</span><span class='op'>)</span><span class='op'>)</span> -</div><div class='output co'>#> <span class='error'>Error in compare.saemix(list(f_saem_fomc$so, f_saem_fomc_tc$so)): 'compare.saemix' requires at least two models.</span></div><div class='input'> +#> [1] "Fri Jun 11 10:57:09 2021"</div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/compare.saemix.html'>compare.saemix</a></span><span class='op'>(</span><span class='va'>f_saem_fomc</span><span class='op'>$</span><span class='va'>so</span>, <span class='va'>f_saem_fomc_tc</span><span class='op'>$</span><span class='va'>so</span><span class='op'>)</span> +</div><div class='output co'>#> <span class='message'>Likelihoods calculated by importance sampling</span></div><div class='output co'>#> AIC BIC +#> 1 467.7096 464.9757 +#> 2 469.6831 466.5586</div><div class='input'> <span class='va'>sfo_sfo</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='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span>, <span class='st'>"A1"</span><span class='op'>)</span>, A1 <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> </div><div class='output co'>#> <span class='message'>Temporary DLL for differentials generated and loaded</span></div><div class='input'><span class='va'>fomc_sfo</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='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"FOMC"</span>, <span class='st'>"A1"</span><span class='op'>)</span>, @@ -346,15 +381,15 @@ using <a href='mmkin.html'>mmkin</a>.</p> <span class='co'># four minutes</span> <span class='va'>f_saem_sfo_sfo</span> <span class='op'><-</span> <span class='fu'>saem</span><span class='op'>(</span><span class='va'>f_mmkin</span><span class='op'>[</span><span class='st'>"SFO-SFO"</span>, <span class='op'>]</span><span class='op'>)</span> </div><div class='output co'>#> Running main SAEM algorithm -#> [1] "Mon Jan 25 14:42:02 2021" +#> [1] "Fri Jun 11 10:57:12 2021" #> .... #> Minimisation finished -#> [1] "Mon Jan 25 14:42:07 2021"</div><div class='input'><span class='va'>f_saem_dfop_sfo</span> <span class='op'><-</span> <span class='fu'>saem</span><span class='op'>(</span><span class='va'>f_mmkin</span><span class='op'>[</span><span class='st'>"DFOP-SFO"</span>, <span class='op'>]</span><span class='op'>)</span> +#> [1] "Fri Jun 11 10:57:17 2021"</div><div class='input'><span class='va'>f_saem_dfop_sfo</span> <span class='op'><-</span> <span class='fu'>saem</span><span class='op'>(</span><span class='va'>f_mmkin</span><span class='op'>[</span><span class='st'>"DFOP-SFO"</span>, <span class='op'>]</span><span class='op'>)</span> </div><div class='output co'>#> Running main SAEM algorithm -#> [1] "Mon Jan 25 14:42:08 2021" +#> [1] "Fri Jun 11 10:57:17 2021" #> .... #> Minimisation finished -#> [1] "Mon Jan 25 14:42:17 2021"</div><div class='input'><span class='co'># We can use print, plot and summary methods to check the results</span> +#> [1] "Fri Jun 11 10:57:26 2021"</div><div class='input'><span class='co'># We can use print, plot and summary methods to check the results</span> <span class='fu'><a href='https://rdrr.io/r/base/print.html'>print</a></span><span class='op'>(</span><span class='va'>f_saem_dfop_sfo</span><span class='op'>)</span> </div><div class='output co'>#> Kinetic nonlinear mixed-effects model fit by SAEM #> Structural model: @@ -395,10 +430,10 @@ using <a href='mmkin.html'>mmkin</a>.</p> #> SD.g_qlogis 0.44771 -0.86417 1.7596</div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html'>plot</a></span><span class='op'>(</span><span class='va'>f_saem_dfop_sfo</span><span class='op'>)</span> </div><div class='img'><img src='saem-5.png' alt='' width='700' height='433' /></div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/summary-methods.html'>summary</a></span><span class='op'>(</span><span class='va'>f_saem_dfop_sfo</span>, data <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span> </div><div class='output co'>#> saemix version used for fitting: 3.1.9000 -#> mkin version used for pre-fitting: 0.9.50.4 -#> R version used for fitting: 4.0.3 -#> Date of fit: Mon Jan 25 14:42:18 2021 -#> Date of summary: Mon Jan 25 14:42:18 2021 +#> mkin version used for pre-fitting: 1.0.5 +#> R version used for fitting: 4.1.0 +#> Date of fit: Fri Jun 11 10:57:27 2021 +#> Date of summary: Fri Jun 11 10:57:27 2021 #> #> Equations: #> d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 * @@ -413,7 +448,7 @@ using <a href='mmkin.html'>mmkin</a>.</p> #> #> Model predictions using solution type analytical #> -#> Fitted in 9.954 s using 300, 100 iterations +#> Fitted in 9.712 s using 300, 100 iterations #> #> Variance model: Constant variance #> @@ -483,176 +518,176 @@ using <a href='mmkin.html'>mmkin</a>.</p> #> #> Data: #> ds name time observed predicted residual std standardized -#> Dataset 6 parent 0 97.2 95.79523 -1.40477 1.883 -0.745888 -#> Dataset 6 parent 0 96.4 95.79523 -0.60477 1.883 -0.321114 -#> Dataset 6 parent 3 71.1 71.32042 0.22042 1.883 0.117035 -#> Dataset 6 parent 3 69.2 71.32042 2.12042 1.883 1.125873 -#> Dataset 6 parent 6 58.1 56.45256 -1.64744 1.883 -0.874739 -#> Dataset 6 parent 6 56.6 56.45256 -0.14744 1.883 -0.078288 -#> Dataset 6 parent 10 44.4 44.48523 0.08523 1.883 0.045256 -#> Dataset 6 parent 10 43.4 44.48523 1.08523 1.883 0.576224 -#> Dataset 6 parent 20 33.3 29.75774 -3.54226 1.883 -1.880826 -#> Dataset 6 parent 20 29.2 29.75774 0.55774 1.883 0.296141 -#> Dataset 6 parent 34 17.6 19.35710 1.75710 1.883 0.932966 -#> Dataset 6 parent 34 18.0 19.35710 1.35710 1.883 0.720578 -#> Dataset 6 parent 55 10.5 10.48443 -0.01557 1.883 -0.008266 -#> Dataset 6 parent 55 9.3 10.48443 1.18443 1.883 0.628895 -#> Dataset 6 parent 90 4.5 3.78622 -0.71378 1.883 -0.378995 -#> Dataset 6 parent 90 4.7 3.78622 -0.91378 1.883 -0.485188 -#> Dataset 6 parent 112 3.0 1.99608 -1.00392 1.883 -0.533048 -#> Dataset 6 parent 112 3.4 1.99608 -1.40392 1.883 -0.745435 -#> Dataset 6 parent 132 2.3 1.11539 -1.18461 1.883 -0.628990 -#> Dataset 6 parent 132 2.7 1.11539 -1.58461 1.883 -0.841377 -#> Dataset 6 A1 3 4.3 4.66132 0.36132 1.883 0.191849 -#> Dataset 6 A1 3 4.6 4.66132 0.06132 1.883 0.032559 -#> Dataset 6 A1 6 7.0 7.41087 0.41087 1.883 0.218157 -#> Dataset 6 A1 6 7.2 7.41087 0.21087 1.883 0.111964 -#> Dataset 6 A1 10 8.2 9.50878 1.30878 1.883 0.694921 -#> Dataset 6 A1 10 8.0 9.50878 1.50878 1.883 0.801114 -#> Dataset 6 A1 20 11.0 11.69902 0.69902 1.883 0.371157 -#> Dataset 6 A1 20 13.7 11.69902 -2.00098 1.883 -1.062455 -#> Dataset 6 A1 34 11.5 12.67784 1.17784 1.883 0.625396 -#> Dataset 6 A1 34 12.7 12.67784 -0.02216 1.883 -0.011765 -#> Dataset 6 A1 55 14.9 12.78556 -2.11444 1.883 -1.122701 -#> Dataset 6 A1 55 14.5 12.78556 -1.71444 1.883 -0.910314 -#> Dataset 6 A1 90 12.1 11.52954 -0.57046 1.883 -0.302898 -#> Dataset 6 A1 90 12.3 11.52954 -0.77046 1.883 -0.409092 -#> Dataset 6 A1 112 9.9 10.43825 0.53825 1.883 0.285793 -#> Dataset 6 A1 112 10.2 10.43825 0.23825 1.883 0.126503 -#> Dataset 6 A1 132 8.8 9.42830 0.62830 1.883 0.333609 -#> Dataset 6 A1 132 7.8 9.42830 1.62830 1.883 0.864577 -#> Dataset 7 parent 0 93.6 90.91477 -2.68523 1.883 -1.425772 -#> Dataset 7 parent 0 92.3 90.91477 -1.38523 1.883 -0.735514 -#> Dataset 7 parent 3 87.0 84.76874 -2.23126 1.883 -1.184726 -#> Dataset 7 parent 3 82.2 84.76874 2.56874 1.883 1.363919 -#> Dataset 7 parent 7 74.0 77.62735 3.62735 1.883 1.926003 -#> Dataset 7 parent 7 73.9 77.62735 3.72735 1.883 1.979100 -#> Dataset 7 parent 14 64.2 67.52266 3.32266 1.883 1.764224 -#> Dataset 7 parent 14 69.5 67.52266 -1.97734 1.883 -1.049904 -#> Dataset 7 parent 30 54.0 52.41949 -1.58051 1.883 -0.839202 -#> Dataset 7 parent 30 54.6 52.41949 -2.18051 1.883 -1.157783 -#> Dataset 7 parent 60 41.1 39.36582 -1.73418 1.883 -0.920794 -#> Dataset 7 parent 60 38.4 39.36582 0.96582 1.883 0.512818 -#> Dataset 7 parent 90 32.5 33.75388 1.25388 1.883 0.665771 -#> Dataset 7 parent 90 35.5 33.75388 -1.74612 1.883 -0.927132 -#> Dataset 7 parent 120 28.1 30.41716 2.31716 1.883 1.230335 -#> Dataset 7 parent 120 29.0 30.41716 1.41716 1.883 0.752464 -#> Dataset 7 parent 180 26.5 25.66046 -0.83954 1.883 -0.445767 -#> Dataset 7 parent 180 27.6 25.66046 -1.93954 1.883 -1.029832 -#> Dataset 7 A1 3 3.9 2.69355 -1.20645 1.883 -0.640585 -#> Dataset 7 A1 3 3.1 2.69355 -0.40645 1.883 -0.215811 -#> Dataset 7 A1 7 6.9 5.81807 -1.08193 1.883 -0.574470 -#> Dataset 7 A1 7 6.6 5.81807 -0.78193 1.883 -0.415180 -#> Dataset 7 A1 14 10.4 10.22529 -0.17471 1.883 -0.092767 -#> Dataset 7 A1 14 8.3 10.22529 1.92529 1.883 1.022265 -#> Dataset 7 A1 30 14.4 16.75484 2.35484 1.883 1.250345 -#> Dataset 7 A1 30 13.7 16.75484 3.05484 1.883 1.622022 -#> Dataset 7 A1 60 22.1 22.22540 0.12540 1.883 0.066583 -#> Dataset 7 A1 60 22.3 22.22540 -0.07460 1.883 -0.039610 -#> Dataset 7 A1 90 27.5 24.38799 -3.11201 1.883 -1.652376 -#> Dataset 7 A1 90 25.4 24.38799 -1.01201 1.883 -0.537344 -#> Dataset 7 A1 120 28.0 25.53294 -2.46706 1.883 -1.309927 -#> Dataset 7 A1 120 26.6 25.53294 -1.06706 1.883 -0.566572 -#> Dataset 7 A1 180 25.8 26.94943 1.14943 1.883 0.610309 -#> Dataset 7 A1 180 25.3 26.94943 1.64943 1.883 0.875793 -#> Dataset 8 parent 0 91.9 91.53246 -0.36754 1.883 -0.195151 -#> Dataset 8 parent 0 90.8 91.53246 0.73246 1.883 0.388914 -#> Dataset 8 parent 1 64.9 67.73197 2.83197 1.883 1.503686 -#> Dataset 8 parent 1 66.2 67.73197 1.53197 1.883 0.813428 -#> Dataset 8 parent 3 43.5 41.58448 -1.91552 1.883 -1.017081 -#> Dataset 8 parent 3 44.1 41.58448 -2.51552 1.883 -1.335661 -#> Dataset 8 parent 8 18.3 19.62286 1.32286 1.883 0.702395 -#> Dataset 8 parent 8 18.1 19.62286 1.52286 1.883 0.808589 -#> Dataset 8 parent 14 10.2 10.77819 0.57819 1.883 0.306999 -#> Dataset 8 parent 14 10.8 10.77819 -0.02181 1.883 -0.011582 -#> Dataset 8 parent 27 4.9 3.26977 -1.63023 1.883 -0.865599 -#> Dataset 8 parent 27 3.3 3.26977 -0.03023 1.883 -0.016051 -#> Dataset 8 parent 48 1.6 0.48024 -1.11976 1.883 -0.594557 -#> Dataset 8 parent 48 1.5 0.48024 -1.01976 1.883 -0.541460 -#> Dataset 8 parent 70 1.1 0.06438 -1.03562 1.883 -0.549881 -#> Dataset 8 parent 70 0.9 0.06438 -0.83562 1.883 -0.443688 -#> Dataset 8 A1 1 9.6 7.61539 -1.98461 1.883 -1.053761 -#> Dataset 8 A1 1 7.7 7.61539 -0.08461 1.883 -0.044923 -#> Dataset 8 A1 3 15.0 15.47954 0.47954 1.883 0.254622 -#> Dataset 8 A1 3 15.1 15.47954 0.37954 1.883 0.201525 -#> Dataset 8 A1 8 21.2 20.22616 -0.97384 1.883 -0.517076 -#> Dataset 8 A1 8 21.1 20.22616 -0.87384 1.883 -0.463979 -#> Dataset 8 A1 14 19.7 20.00067 0.30067 1.883 0.159645 -#> Dataset 8 A1 14 18.9 20.00067 1.10067 1.883 0.584419 -#> Dataset 8 A1 27 17.5 16.38142 -1.11858 1.883 -0.593929 -#> Dataset 8 A1 27 15.9 16.38142 0.48142 1.883 0.255619 -#> Dataset 8 A1 48 9.5 10.25357 0.75357 1.883 0.400123 -#> Dataset 8 A1 48 9.8 10.25357 0.45357 1.883 0.240833 -#> Dataset 8 A1 70 6.2 5.95728 -0.24272 1.883 -0.128878 -#> Dataset 8 A1 70 6.1 5.95728 -0.14272 1.883 -0.075781 -#> Dataset 9 parent 0 99.8 97.47274 -2.32726 1.883 -1.235697 -#> Dataset 9 parent 0 98.3 97.47274 -0.82726 1.883 -0.439246 -#> Dataset 9 parent 1 77.1 79.72257 2.62257 1.883 1.392500 -#> Dataset 9 parent 1 77.2 79.72257 2.52257 1.883 1.339404 -#> Dataset 9 parent 3 59.0 56.26497 -2.73503 1.883 -1.452212 -#> Dataset 9 parent 3 58.1 56.26497 -1.83503 1.883 -0.974342 -#> Dataset 9 parent 8 27.4 31.66985 4.26985 1.883 2.267151 -#> Dataset 9 parent 8 29.2 31.66985 2.46985 1.883 1.311410 -#> Dataset 9 parent 14 19.1 22.39789 3.29789 1.883 1.751071 -#> Dataset 9 parent 14 29.6 22.39789 -7.20211 1.883 -3.824090 -#> Dataset 9 parent 27 10.1 14.21758 4.11758 1.883 2.186301 -#> Dataset 9 parent 27 18.2 14.21758 -3.98242 1.883 -2.114537 -#> Dataset 9 parent 48 4.5 7.27921 2.77921 1.883 1.475671 -#> Dataset 9 parent 48 9.1 7.27921 -1.82079 1.883 -0.966780 -#> Dataset 9 parent 70 2.3 3.61470 1.31470 1.883 0.698065 -#> Dataset 9 parent 70 2.9 3.61470 0.71470 1.883 0.379485 -#> Dataset 9 parent 91 2.0 1.85303 -0.14697 1.883 -0.078038 -#> Dataset 9 parent 91 1.8 1.85303 0.05303 1.883 0.028155 -#> Dataset 9 parent 120 2.0 0.73645 -1.26355 1.883 -0.670906 -#> Dataset 9 parent 120 2.2 0.73645 -1.46355 1.883 -0.777099 -#> Dataset 9 A1 1 4.2 3.87843 -0.32157 1.883 -0.170743 -#> Dataset 9 A1 1 3.9 3.87843 -0.02157 1.883 -0.011453 -#> Dataset 9 A1 3 7.4 8.90535 1.50535 1.883 0.799291 -#> Dataset 9 A1 3 7.9 8.90535 1.00535 1.883 0.533807 -#> Dataset 9 A1 8 14.5 13.75172 -0.74828 1.883 -0.397312 -#> Dataset 9 A1 8 13.7 13.75172 0.05172 1.883 0.027462 -#> Dataset 9 A1 14 14.2 14.97541 0.77541 1.883 0.411715 -#> Dataset 9 A1 14 12.2 14.97541 2.77541 1.883 1.473650 -#> Dataset 9 A1 27 13.7 14.94728 1.24728 1.883 0.662266 -#> Dataset 9 A1 27 13.2 14.94728 1.74728 1.883 0.927750 -#> Dataset 9 A1 48 13.6 13.66078 0.06078 1.883 0.032272 -#> Dataset 9 A1 48 15.4 13.66078 -1.73922 1.883 -0.923470 -#> Dataset 9 A1 70 10.4 11.84899 1.44899 1.883 0.769365 -#> Dataset 9 A1 70 11.6 11.84899 0.24899 1.883 0.132204 -#> Dataset 9 A1 91 10.0 10.09177 0.09177 1.883 0.048727 -#> Dataset 9 A1 91 9.5 10.09177 0.59177 1.883 0.314211 -#> Dataset 9 A1 120 9.1 7.91379 -1.18621 1.883 -0.629841 -#> Dataset 9 A1 120 9.0 7.91379 -1.08621 1.883 -0.576745 -#> Dataset 10 parent 0 96.1 93.65257 -2.44743 1.883 -1.299505 -#> Dataset 10 parent 0 94.3 93.65257 -0.64743 1.883 -0.343763 -#> Dataset 10 parent 8 73.9 77.85906 3.95906 1.883 2.102132 -#> Dataset 10 parent 8 73.9 77.85906 3.95906 1.883 2.102132 -#> Dataset 10 parent 14 69.4 70.17143 0.77143 1.883 0.409606 -#> Dataset 10 parent 14 73.1 70.17143 -2.92857 1.883 -1.554974 -#> Dataset 10 parent 21 65.6 63.99188 -1.60812 1.883 -0.853862 -#> Dataset 10 parent 21 65.3 63.99188 -1.30812 1.883 -0.694572 -#> Dataset 10 parent 41 55.9 54.64292 -1.25708 1.883 -0.667467 -#> Dataset 10 parent 41 54.4 54.64292 0.24292 1.883 0.128985 -#> Dataset 10 parent 63 47.0 49.61303 2.61303 1.883 1.387433 -#> Dataset 10 parent 63 49.3 49.61303 0.31303 1.883 0.166207 -#> Dataset 10 parent 91 44.7 45.17807 0.47807 1.883 0.253839 -#> Dataset 10 parent 91 46.7 45.17807 -1.52193 1.883 -0.808096 -#> Dataset 10 parent 120 42.1 41.27970 -0.82030 1.883 -0.435552 -#> Dataset 10 parent 120 41.3 41.27970 -0.02030 1.883 -0.010778 -#> Dataset 10 A1 8 3.3 3.99294 0.69294 1.883 0.367929 -#> Dataset 10 A1 8 3.4 3.99294 0.59294 1.883 0.314832 -#> Dataset 10 A1 14 3.9 5.92756 2.02756 1.883 1.076570 -#> Dataset 10 A1 14 2.9 5.92756 3.02756 1.883 1.607538 -#> Dataset 10 A1 21 6.4 7.47313 1.07313 1.883 0.569799 -#> Dataset 10 A1 21 7.2 7.47313 0.27313 1.883 0.145025 -#> Dataset 10 A1 41 9.1 9.76819 0.66819 1.883 0.354786 -#> Dataset 10 A1 41 8.5 9.76819 1.26819 1.883 0.673367 -#> Dataset 10 A1 63 11.7 10.94733 -0.75267 1.883 -0.399643 -#> Dataset 10 A1 63 12.0 10.94733 -1.05267 1.883 -0.558933 -#> Dataset 10 A1 91 13.3 11.93773 -1.36227 1.883 -0.723321 -#> Dataset 10 A1 91 13.2 11.93773 -1.26227 1.883 -0.670224 -#> Dataset 10 A1 120 14.3 12.77666 -1.52334 1.883 -0.808847 -#> Dataset 10 A1 120 12.1 12.77666 0.67666 1.883 0.359282</div><div class='input'> +#> Dataset 6 parent 0 97.2 95.79523 1.40477 1.883 0.745888 +#> Dataset 6 parent 0 96.4 95.79523 0.60477 1.883 0.321114 +#> Dataset 6 parent 3 71.1 71.32042 -0.22042 1.883 -0.117035 +#> Dataset 6 parent 3 69.2 71.32042 -2.12042 1.883 -1.125873 +#> Dataset 6 parent 6 58.1 56.45256 1.64744 1.883 0.874739 +#> Dataset 6 parent 6 56.6 56.45256 0.14744 1.883 0.078288 +#> Dataset 6 parent 10 44.4 44.48523 -0.08523 1.883 -0.045257 +#> Dataset 6 parent 10 43.4 44.48523 -1.08523 1.883 -0.576224 +#> Dataset 6 parent 20 33.3 29.75774 3.54226 1.883 1.880826 +#> Dataset 6 parent 20 29.2 29.75774 -0.55774 1.883 -0.296141 +#> Dataset 6 parent 34 17.6 19.35710 -1.75710 1.883 -0.932966 +#> Dataset 6 parent 34 18.0 19.35710 -1.35710 1.883 -0.720579 +#> Dataset 6 parent 55 10.5 10.48443 0.01557 1.883 0.008266 +#> Dataset 6 parent 55 9.3 10.48443 -1.18443 1.883 -0.628895 +#> Dataset 6 parent 90 4.5 3.78622 0.71378 1.883 0.378995 +#> Dataset 6 parent 90 4.7 3.78622 0.91378 1.883 0.485188 +#> Dataset 6 parent 112 3.0 1.99608 1.00392 1.883 0.533048 +#> Dataset 6 parent 112 3.4 1.99608 1.40392 1.883 0.745435 +#> Dataset 6 parent 132 2.3 1.11539 1.18461 1.883 0.628990 +#> Dataset 6 parent 132 2.7 1.11539 1.58461 1.883 0.841377 +#> Dataset 6 A1 3 4.3 4.66132 -0.36132 1.883 -0.191849 +#> Dataset 6 A1 3 4.6 4.66132 -0.06132 1.883 -0.032559 +#> Dataset 6 A1 6 7.0 7.41087 -0.41087 1.883 -0.218157 +#> Dataset 6 A1 6 7.2 7.41087 -0.21087 1.883 -0.111964 +#> Dataset 6 A1 10 8.2 9.50878 -1.30878 1.883 -0.694921 +#> Dataset 6 A1 10 8.0 9.50878 -1.50878 1.883 -0.801114 +#> Dataset 6 A1 20 11.0 11.69902 -0.69902 1.883 -0.371157 +#> Dataset 6 A1 20 13.7 11.69902 2.00098 1.883 1.062455 +#> Dataset 6 A1 34 11.5 12.67784 -1.17784 1.883 -0.625396 +#> Dataset 6 A1 34 12.7 12.67784 0.02216 1.883 0.011765 +#> Dataset 6 A1 55 14.9 12.78556 2.11444 1.883 1.122701 +#> Dataset 6 A1 55 14.5 12.78556 1.71444 1.883 0.910314 +#> Dataset 6 A1 90 12.1 11.52954 0.57046 1.883 0.302898 +#> Dataset 6 A1 90 12.3 11.52954 0.77046 1.883 0.409092 +#> Dataset 6 A1 112 9.9 10.43825 -0.53825 1.883 -0.285793 +#> Dataset 6 A1 112 10.2 10.43825 -0.23825 1.883 -0.126503 +#> Dataset 6 A1 132 8.8 9.42830 -0.62830 1.883 -0.333609 +#> Dataset 6 A1 132 7.8 9.42830 -1.62830 1.883 -0.864577 +#> Dataset 7 parent 0 93.6 90.91477 2.68523 1.883 1.425772 +#> Dataset 7 parent 0 92.3 90.91477 1.38523 1.883 0.735514 +#> Dataset 7 parent 3 87.0 84.76874 2.23126 1.883 1.184726 +#> Dataset 7 parent 3 82.2 84.76874 -2.56874 1.883 -1.363919 +#> Dataset 7 parent 7 74.0 77.62735 -3.62735 1.883 -1.926003 +#> Dataset 7 parent 7 73.9 77.62735 -3.72735 1.883 -1.979100 +#> Dataset 7 parent 14 64.2 67.52266 -3.32266 1.883 -1.764224 +#> Dataset 7 parent 14 69.5 67.52266 1.97734 1.883 1.049904 +#> Dataset 7 parent 30 54.0 52.41949 1.58051 1.883 0.839202 +#> Dataset 7 parent 30 54.6 52.41949 2.18051 1.883 1.157783 +#> Dataset 7 parent 60 41.1 39.36582 1.73418 1.883 0.920794 +#> Dataset 7 parent 60 38.4 39.36582 -0.96582 1.883 -0.512818 +#> Dataset 7 parent 90 32.5 33.75388 -1.25388 1.883 -0.665771 +#> Dataset 7 parent 90 35.5 33.75388 1.74612 1.883 0.927132 +#> Dataset 7 parent 120 28.1 30.41716 -2.31716 1.883 -1.230335 +#> Dataset 7 parent 120 29.0 30.41716 -1.41716 1.883 -0.752464 +#> Dataset 7 parent 180 26.5 25.66046 0.83954 1.883 0.445767 +#> Dataset 7 parent 180 27.6 25.66046 1.93954 1.883 1.029832 +#> Dataset 7 A1 3 3.9 2.69355 1.20645 1.883 0.640585 +#> Dataset 7 A1 3 3.1 2.69355 0.40645 1.883 0.215811 +#> Dataset 7 A1 7 6.9 5.81807 1.08193 1.883 0.574470 +#> Dataset 7 A1 7 6.6 5.81807 0.78193 1.883 0.415180 +#> Dataset 7 A1 14 10.4 10.22529 0.17471 1.883 0.092767 +#> Dataset 7 A1 14 8.3 10.22529 -1.92529 1.883 -1.022265 +#> Dataset 7 A1 30 14.4 16.75484 -2.35484 1.883 -1.250345 +#> Dataset 7 A1 30 13.7 16.75484 -3.05484 1.883 -1.622022 +#> Dataset 7 A1 60 22.1 22.22540 -0.12540 1.883 -0.066583 +#> Dataset 7 A1 60 22.3 22.22540 0.07460 1.883 0.039610 +#> Dataset 7 A1 90 27.5 24.38799 3.11201 1.883 1.652376 +#> Dataset 7 A1 90 25.4 24.38799 1.01201 1.883 0.537344 +#> Dataset 7 A1 120 28.0 25.53294 2.46706 1.883 1.309927 +#> Dataset 7 A1 120 26.6 25.53294 1.06706 1.883 0.566572 +#> Dataset 7 A1 180 25.8 26.94943 -1.14943 1.883 -0.610309 +#> Dataset 7 A1 180 25.3 26.94943 -1.64943 1.883 -0.875793 +#> Dataset 8 parent 0 91.9 91.53246 0.36754 1.883 0.195151 +#> Dataset 8 parent 0 90.8 91.53246 -0.73246 1.883 -0.388914 +#> Dataset 8 parent 1 64.9 67.73197 -2.83197 1.883 -1.503686 +#> Dataset 8 parent 1 66.2 67.73197 -1.53197 1.883 -0.813428 +#> Dataset 8 parent 3 43.5 41.58448 1.91552 1.883 1.017081 +#> Dataset 8 parent 3 44.1 41.58448 2.51552 1.883 1.335662 +#> Dataset 8 parent 8 18.3 19.62286 -1.32286 1.883 -0.702395 +#> Dataset 8 parent 8 18.1 19.62286 -1.52286 1.883 -0.808588 +#> Dataset 8 parent 14 10.2 10.77819 -0.57819 1.883 -0.306999 +#> Dataset 8 parent 14 10.8 10.77819 0.02181 1.883 0.011582 +#> Dataset 8 parent 27 4.9 3.26977 1.63023 1.883 0.865599 +#> Dataset 8 parent 27 3.3 3.26977 0.03023 1.883 0.016051 +#> Dataset 8 parent 48 1.6 0.48024 1.11976 1.883 0.594557 +#> Dataset 8 parent 48 1.5 0.48024 1.01976 1.883 0.541460 +#> Dataset 8 parent 70 1.1 0.06438 1.03562 1.883 0.549881 +#> Dataset 8 parent 70 0.9 0.06438 0.83562 1.883 0.443688 +#> Dataset 8 A1 1 9.6 7.61539 1.98461 1.883 1.053761 +#> Dataset 8 A1 1 7.7 7.61539 0.08461 1.883 0.044923 +#> Dataset 8 A1 3 15.0 15.47954 -0.47954 1.883 -0.254622 +#> Dataset 8 A1 3 15.1 15.47954 -0.37954 1.883 -0.201525 +#> Dataset 8 A1 8 21.2 20.22616 0.97384 1.883 0.517075 +#> Dataset 8 A1 8 21.1 20.22616 0.87384 1.883 0.463979 +#> Dataset 8 A1 14 19.7 20.00067 -0.30067 1.883 -0.159645 +#> Dataset 8 A1 14 18.9 20.00067 -1.10067 1.883 -0.584419 +#> Dataset 8 A1 27 17.5 16.38142 1.11858 1.883 0.593928 +#> Dataset 8 A1 27 15.9 16.38142 -0.48142 1.883 -0.255620 +#> Dataset 8 A1 48 9.5 10.25357 -0.75357 1.883 -0.400124 +#> Dataset 8 A1 48 9.8 10.25357 -0.45357 1.883 -0.240833 +#> Dataset 8 A1 70 6.2 5.95728 0.24272 1.883 0.128878 +#> Dataset 8 A1 70 6.1 5.95728 0.14272 1.883 0.075781 +#> Dataset 9 parent 0 99.8 97.47274 2.32726 1.883 1.235697 +#> Dataset 9 parent 0 98.3 97.47274 0.82726 1.883 0.439246 +#> Dataset 9 parent 1 77.1 79.72257 -2.62257 1.883 -1.392500 +#> Dataset 9 parent 1 77.2 79.72257 -2.52257 1.883 -1.339404 +#> Dataset 9 parent 3 59.0 56.26497 2.73503 1.883 1.452212 +#> Dataset 9 parent 3 58.1 56.26497 1.83503 1.883 0.974342 +#> Dataset 9 parent 8 27.4 31.66985 -4.26985 1.883 -2.267151 +#> Dataset 9 parent 8 29.2 31.66985 -2.46985 1.883 -1.311410 +#> Dataset 9 parent 14 19.1 22.39789 -3.29789 1.883 -1.751071 +#> Dataset 9 parent 14 29.6 22.39789 7.20211 1.883 3.824090 +#> Dataset 9 parent 27 10.1 14.21758 -4.11758 1.883 -2.186301 +#> Dataset 9 parent 27 18.2 14.21758 3.98242 1.883 2.114537 +#> Dataset 9 parent 48 4.5 7.27921 -2.77921 1.883 -1.475671 +#> Dataset 9 parent 48 9.1 7.27921 1.82079 1.883 0.966780 +#> Dataset 9 parent 70 2.3 3.61470 -1.31470 1.883 -0.698065 +#> Dataset 9 parent 70 2.9 3.61470 -0.71470 1.883 -0.379485 +#> Dataset 9 parent 91 2.0 1.85303 0.14697 1.883 0.078038 +#> Dataset 9 parent 91 1.8 1.85303 -0.05303 1.883 -0.028155 +#> Dataset 9 parent 120 2.0 0.73645 1.26355 1.883 0.670906 +#> Dataset 9 parent 120 2.2 0.73645 1.46355 1.883 0.777099 +#> Dataset 9 A1 1 4.2 3.87843 0.32157 1.883 0.170743 +#> Dataset 9 A1 1 3.9 3.87843 0.02157 1.883 0.011453 +#> Dataset 9 A1 3 7.4 8.90535 -1.50535 1.883 -0.799291 +#> Dataset 9 A1 3 7.9 8.90535 -1.00535 1.883 -0.533807 +#> Dataset 9 A1 8 14.5 13.75172 0.74828 1.883 0.397312 +#> Dataset 9 A1 8 13.7 13.75172 -0.05172 1.883 -0.027462 +#> Dataset 9 A1 14 14.2 14.97541 -0.77541 1.883 -0.411715 +#> Dataset 9 A1 14 12.2 14.97541 -2.77541 1.883 -1.473650 +#> Dataset 9 A1 27 13.7 14.94728 -1.24728 1.883 -0.662266 +#> Dataset 9 A1 27 13.2 14.94728 -1.74728 1.883 -0.927750 +#> Dataset 9 A1 48 13.6 13.66078 -0.06078 1.883 -0.032272 +#> Dataset 9 A1 48 15.4 13.66078 1.73922 1.883 0.923470 +#> Dataset 9 A1 70 10.4 11.84899 -1.44899 1.883 -0.769365 +#> Dataset 9 A1 70 11.6 11.84899 -0.24899 1.883 -0.132204 +#> Dataset 9 A1 91 10.0 10.09177 -0.09177 1.883 -0.048727 +#> Dataset 9 A1 91 9.5 10.09177 -0.59177 1.883 -0.314211 +#> Dataset 9 A1 120 9.1 7.91379 1.18621 1.883 0.629841 +#> Dataset 9 A1 120 9.0 7.91379 1.08621 1.883 0.576744 +#> Dataset 10 parent 0 96.1 93.65257 2.44743 1.883 1.299505 +#> Dataset 10 parent 0 94.3 93.65257 0.64743 1.883 0.343763 +#> Dataset 10 parent 8 73.9 77.85906 -3.95906 1.883 -2.102132 +#> Dataset 10 parent 8 73.9 77.85906 -3.95906 1.883 -2.102132 +#> Dataset 10 parent 14 69.4 70.17143 -0.77143 1.883 -0.409606 +#> Dataset 10 parent 14 73.1 70.17143 2.92857 1.883 1.554974 +#> Dataset 10 parent 21 65.6 63.99188 1.60812 1.883 0.853862 +#> Dataset 10 parent 21 65.3 63.99188 1.30812 1.883 0.694572 +#> Dataset 10 parent 41 55.9 54.64292 1.25708 1.883 0.667467 +#> Dataset 10 parent 41 54.4 54.64292 -0.24292 1.883 -0.128985 +#> Dataset 10 parent 63 47.0 49.61303 -2.61303 1.883 -1.387433 +#> Dataset 10 parent 63 49.3 49.61303 -0.31303 1.883 -0.166207 +#> Dataset 10 parent 91 44.7 45.17807 -0.47807 1.883 -0.253839 +#> Dataset 10 parent 91 46.7 45.17807 1.52193 1.883 0.808096 +#> Dataset 10 parent 120 42.1 41.27970 0.82030 1.883 0.435552 +#> Dataset 10 parent 120 41.3 41.27970 0.02030 1.883 0.010778 +#> Dataset 10 A1 8 3.3 3.99294 -0.69294 1.883 -0.367929 +#> Dataset 10 A1 8 3.4 3.99294 -0.59294 1.883 -0.314832 +#> Dataset 10 A1 14 3.9 5.92756 -2.02756 1.883 -1.076570 +#> Dataset 10 A1 14 2.9 5.92756 -3.02756 1.883 -1.607538 +#> Dataset 10 A1 21 6.4 7.47313 -1.07313 1.883 -0.569799 +#> Dataset 10 A1 21 7.2 7.47313 -0.27313 1.883 -0.145025 +#> Dataset 10 A1 41 9.1 9.76819 -0.66819 1.883 -0.354786 +#> Dataset 10 A1 41 8.5 9.76819 -1.26819 1.883 -0.673367 +#> Dataset 10 A1 63 11.7 10.94733 0.75267 1.883 0.399643 +#> Dataset 10 A1 63 12.0 10.94733 1.05267 1.883 0.558933 +#> Dataset 10 A1 91 13.3 11.93773 1.36227 1.883 0.723321 +#> Dataset 10 A1 91 13.2 11.93773 1.26227 1.883 0.670224 +#> Dataset 10 A1 120 14.3 12.77666 1.52334 1.883 0.808847 +#> Dataset 10 A1 120 12.1 12.77666 -0.67666 1.883 -0.359282</div><div class='input'> <span class='co'># The following takes about 6 minutes</span> <span class='co'>#f_saem_dfop_sfo_deSolve <- saem(f_mmkin["DFOP-SFO", ], solution_type = "deSolve",</span> <span class='co'># control = list(nbiter.saemix = c(200, 80), nbdisplay = 10))</span> |