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| author | Johannes Ranke <jranke@uni-bremen.de> | 2014-05-08 21:04:21 +0200 | 
|---|---|---|
| committer | Johannes Ranke <jranke@uni-bremen.de> | 2014-05-08 21:04:21 +0200 | 
| commit | 89df28000c4ce8c1e46965ad72b79b406e4d512f (patch) | |
| tree | d4045738d299d99389352ace5c64b739ef2b85ae /vignettes | |
| parent | 6b0efae2868f68d1b6ea90b45a2aa4adb287bddc (diff) | |
Support building static documentation, build it
Diffstat (limited to 'vignettes')
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| diff --git a/vignettes/FOCUS_L.md b/vignettes/FOCUS_L.md deleted file mode 100644 index 6c43889d..00000000 --- a/vignettes/FOCUS_L.md +++ /dev/null @@ -1,931 +0,0 @@ -<!-- -%\VignetteEngine{knitr::knitr} -%\VignetteIndexEntry{Example evaluation of FOCUS Laboratory Data L1 to L3} ---> - -# Example evaluation of FOCUS Laboratory Data L1 to L3 - -## Laboratory Data L1 - -The following code defines example dataset L1 from the FOCUS kinetics -report, p. 284 - - -```r -library("mkin") -``` - -``` -## Loading required package: FME -## Loading required package: deSolve -## Loading required package: rootSolve -## Loading required package: minpack.lm -## Loading required package: MASS -## Loading required package: coda -## Loading required package: lattice -``` - -```r -FOCUS_2006_L1 = data.frame(t = rep(c(0, 1, 2, 3, 5, 7, 14, 21, 30), each = 2),  -    parent = c(88.3, 91.4, 85.6, 84.5, 78.9, 77.6, 72, 71.9, 50.3, 59.4, 47,  -        45.1, 27.7, 27.3, 10, 10.4, 2.9, 4)) -FOCUS_2006_L1_mkin <- mkin_wide_to_long(FOCUS_2006_L1) -``` - - -The next step is to set up the models used for the kinetic analysis. Note that -the model definitions contain the names of the observed variables in the data. -In this case, there is only one variable called `parent`. - - -```r -SFO <- mkinmod(parent = list(type = "SFO")) -FOMC <- mkinmod(parent = list(type = "FOMC")) -DFOP <- mkinmod(parent = list(type = "DFOP")) -``` - - -The three models cover the first assumption of simple first order (SFO), -the case of declining rate constant over time (FOMC) and the case of two -different phases of the kinetics (DFOP). For a more detailed discussion -of the models, please see the FOCUS kinetics report. - -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. - - -```r -m.L1.SFO <- mkinfit(SFO, FOCUS_2006_L1_mkin, quiet = TRUE) -summary(m.L1.SFO) -``` - -``` -## mkin version:    0.9.25  -## R version:       3.0.2  -## Date of fit:     Sun Nov 17 15:02:54 2013  -## Date of summary: Sun Nov 17 15:02:54 2013  -##  -## Equations: -## [1] d_parent = - k_parent_sink * parent -##  -## Method used for solution of differential equation system: -## analytical  -##  -## Weighting: none -##  -## Starting values for optimised parameters: -##               value   type transformed -## parent_0      100.0  state     100.000 -## k_parent_sink   0.1 deparm      -2.303 -##  -## Fixed parameter values: -## None -##  -## Optimised, transformed parameters: -##               Estimate Std. Error Lower Upper -## parent_0         92.50     1.3700 89.60 95.40 -## k_parent_sink    -2.35     0.0406 -2.43 -2.26 -##  -## Backtransformed parameters: -##               Estimate   Lower  Upper -## parent_0       92.5000 89.6000 95.400 -## k_parent_sink   0.0956  0.0877  0.104 -##  -## Residual standard error: 2.95 on 16 degrees of freedom -##  -## Chi2 error levels in percent: -##          err.min n.optim df -## All data    3.42       2  7 -## parent      3.42       2  7 -##  -## Estimated disappearance times: -##        DT50 DT90 -## parent 7.25 24.1 -##  -## Estimated formation fractions: -##             ff -## parent_sink  1 -##  -## Parameter correlation: -##               parent_0 k_parent_sink -## parent_0         1.000         0.625 -## k_parent_sink    0.625         1.000 -##  -## Data: -##  time variable observed predicted residual -##     0   parent     88.3     92.47   -4.171 -##     0   parent     91.4     92.47   -1.071 -##     1   parent     85.6     84.04    1.561 -##     1   parent     84.5     84.04    0.461 -##     2   parent     78.9     76.38    2.524 -##     2   parent     77.6     76.38    1.224 -##     3   parent     72.0     69.41    2.588 -##     3   parent     71.9     69.41    2.488 -##     5   parent     50.3     57.33   -7.030 -##     5   parent     59.4     57.33    2.070 -##     7   parent     47.0     47.35   -0.352 -##     7   parent     45.1     47.35   -2.252 -##    14   parent     27.7     24.25    3.453 -##    14   parent     27.3     24.25    3.053 -##    21   parent     10.0     12.42   -2.416 -##    21   parent     10.4     12.42   -2.016 -##    30   parent      2.9      5.25   -2.351 -##    30   parent      4.0      5.25   -1.251 -``` - - -A plot of the fit is obtained with the plot function for mkinfit objects. - - -```r -plot(m.L1.SFO) -``` - -  - -The residual plot can be easily obtained by - - -```r -mkinresplot(m.L1.SFO, ylab = "Observed", xlab = "Time") -``` - -  - - -For comparison, the FOMC model is fitted as well, and the chi^2 error level -is checked. - - -```r -m.L1.FOMC <- mkinfit(FOMC, FOCUS_2006_L1_mkin, quiet = TRUE) -summary(m.L1.FOMC, data = FALSE) -``` - -``` -## mkin version:    0.9.25  -## R version:       3.0.2  -## Date of fit:     Sun Nov 17 15:02:55 2013  -## Date of summary: Sun Nov 17 15:02:55 2013  -##  -## Equations: -## [1] d_parent = - (alpha/beta) * ((time/beta) + 1)^-1 * parent -##  -## Method used for solution of differential equation system: -## analytical  -##  -## Weighting: none -##  -## Starting values for optimised parameters: -##          value   type transformed -## parent_0   100  state     100.000 -## alpha        1 deparm       0.000 -## beta        10 deparm       2.303 -##  -## Fixed parameter values: -## None -##  -## Optimised, transformed parameters: -##          Estimate Std. Error Lower Upper -## parent_0     92.5         NA    NA    NA -## alpha        25.6         NA    NA    NA -## beta         28.0         NA    NA    NA -##  -## Backtransformed parameters: -##          Estimate Lower Upper -## parent_0 9.25e+01    NA    NA -## alpha    1.35e+11    NA    NA -## beta     1.41e+12    NA    NA -##  -## Residual standard error: 3.05 on 15 degrees of freedom -##  -## Chi2 error levels in percent: -##          err.min n.optim df -## All data    3.62       3  6 -## parent      3.62       3  6 -##  -## Estimated disappearance times: -##        DT50 DT90 -## parent 7.25 24.1 -##  -## Estimated formation fractions: -##             ff -## parent_sink  1 -##  -## Parameter correlation: -## Could not estimate covariance matrix; singular system: -``` - - -Due to the higher number of parameters, and the lower number of degrees of -freedom of the fit, the chi^2 error level is actually higher for the FOMC -model (3.6%) than for the SFO model (3.4%). Additionally, the covariance -matrix can not be obtained, indicating overparameterisation of the model. -As a consequence, no standard errors for transformed parameters nor -confidence intervals for backtransformed parameters are available. - -The chi^2 error levels reported in Appendix 3 and Appendix 7 to the FOCUS -kinetics report are rounded to integer percentages and partly deviate by one -percentage point from the results calculated by mkin. The reason for -this is not known. However, mkin gives the same chi^2 error levels -as the kinfit package. - -Furthermore, the calculation routines of the kinfit package have been extensively -compared to the results obtained by the KinGUI software, as documented in the -kinfit package vignette. KinGUI is a widely used standard package in this field. -Therefore, the reason for the difference was not investigated further. - -## Laboratory Data L2 - -The following code defines example dataset L2 from the FOCUS kinetics -report, p. 287 - - -```r -FOCUS_2006_L2 = data.frame(t = rep(c(0, 1, 3, 7, 14, 28), each = 2), parent = c(96.1,  -    91.8, 41.4, 38.7, 19.3, 22.3, 4.6, 4.6, 2.6, 1.2, 0.3, 0.6)) -FOCUS_2006_L2_mkin <- mkin_wide_to_long(FOCUS_2006_L2) -``` - - -Again, the SFO model is fitted and a summary is obtained. - - -```r -m.L2.SFO <- mkinfit(SFO, FOCUS_2006_L2_mkin, quiet = TRUE) -summary(m.L2.SFO) -``` - -``` -## mkin version:    0.9.25  -## R version:       3.0.2  -## Date of fit:     Sun Nov 17 15:02:55 2013  -## Date of summary: Sun Nov 17 15:02:55 2013  -##  -## Equations: -## [1] d_parent = - k_parent_sink * parent -##  -## Method used for solution of differential equation system: -## analytical  -##  -## Weighting: none -##  -## Starting values for optimised parameters: -##               value   type transformed -## parent_0      100.0  state     100.000 -## k_parent_sink   0.1 deparm      -2.303 -##  -## Fixed parameter values: -## None -##  -## Optimised, transformed parameters: -##               Estimate Std. Error  Lower  Upper -## parent_0        91.500      3.810 83.000 99.900 -## k_parent_sink   -0.411      0.107 -0.651 -0.172 -##  -## Backtransformed parameters: -##               Estimate  Lower  Upper -## parent_0        91.500 83.000 99.900 -## k_parent_sink    0.663  0.522  0.842 -##  -## Residual standard error: 5.51 on 10 degrees of freedom -##  -## Chi2 error levels in percent: -##          err.min n.optim df -## All data    14.4       2  4 -## parent      14.4       2  4 -##  -## Estimated disappearance times: -##        DT50 DT90 -## parent 1.05 3.47 -##  -## Estimated formation fractions: -##             ff -## parent_sink  1 -##  -## Parameter correlation: -##               parent_0 k_parent_sink -## parent_0          1.00          0.43 -## k_parent_sink     0.43          1.00 -##  -## Data: -##  time variable observed predicted residual -##     0   parent     96.1  9.15e+01    4.634 -##     0   parent     91.8  9.15e+01    0.334 -##     1   parent     41.4  4.71e+01   -5.740 -##     1   parent     38.7  4.71e+01   -8.440 -##     3   parent     19.3  1.25e+01    6.779 -##     3   parent     22.3  1.25e+01    9.779 -##     7   parent      4.6  8.83e-01    3.717 -##     7   parent      4.6  8.83e-01    3.717 -##    14   parent      2.6  8.53e-03    2.591 -##    14   parent      1.2  8.53e-03    1.191 -##    28   parent      0.3  7.96e-07    0.300 -##    28   parent      0.6  7.96e-07    0.600 -``` - - -The chi^2 error level of 14% suggests that the model does not fit very well. -This is also obvious from the plots of the fit and the residuals. - - -```r -par(mfrow = c(2, 1)) -plot(m.L2.SFO) -mkinresplot(m.L2.SFO) -``` - -  - - -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. - -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 _a -priori_ 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. - -For comparison, the FOMC model is fitted as well, and the chi^2 error level -is checked. - - -```r -m.L2.FOMC <- mkinfit(FOMC, FOCUS_2006_L2_mkin, quiet = TRUE) -par(mfrow = c(2, 1)) -plot(m.L2.FOMC) -mkinresplot(m.L2.FOMC) -``` - -  - -```r -summary(m.L2.FOMC, data = FALSE) -``` - -``` -## mkin version:    0.9.25  -## R version:       3.0.2  -## Date of fit:     Sun Nov 17 15:02:56 2013  -## Date of summary: Sun Nov 17 15:02:56 2013  -##  -## Equations: -## [1] d_parent = - (alpha/beta) * ((time/beta) + 1)^-1 * parent -##  -## Method used for solution of differential equation system: -## analytical  -##  -## Weighting: none -##  -## Starting values for optimised parameters: -##          value   type transformed -## parent_0   100  state     100.000 -## alpha        1 deparm       0.000 -## beta        10 deparm       2.303 -##  -## Fixed parameter values: -## None -##  -## Optimised, transformed parameters: -##          Estimate Std. Error  Lower  Upper -## parent_0   93.800      1.860 89.600 98.000 -## alpha       0.318      0.187 -0.104  0.740 -## beta        0.210      0.294 -0.456  0.876 -##  -## Backtransformed parameters: -##          Estimate  Lower Upper -## parent_0    93.80 89.600  98.0 -## alpha        1.37  0.901   2.1 -## beta         1.23  0.634   2.4 -##  -## Residual standard error: 2.63 on 9 degrees of freedom -##  -## Chi2 error levels in percent: -##          err.min n.optim df -## All data     6.2       3  3 -## parent       6.2       3  3 -##  -## Estimated disappearance times: -##         DT50 DT90 -## parent 0.809 5.36 -##  -## Estimated formation fractions: -##             ff -## parent_sink  1 -##  -## Parameter correlation: -##          parent_0   alpha   beta -## parent_0   1.0000 -0.0955 -0.186 -## alpha     -0.0955  1.0000  0.976 -## beta      -0.1863  0.9757  1.000 -``` - - -The error level at which the chi^2 test passes is much lower in this case. -Therefore, the FOMC model provides a better description of the data, as less -experimental error has to be assumed in order to explain the data. - -Fitting the four parameter DFOP model further reduces the chi^2 error level.  - - -```r -m.L2.DFOP <- mkinfit(DFOP, FOCUS_2006_L2_mkin, quiet = TRUE) -plot(m.L2.DFOP) -``` - -  - - -Here, the default starting parameters for the DFOP model obviously do not lead -to a reasonable solution. Therefore the fit is repeated with different starting -parameters. - - -```r -m.L2.DFOP <- mkinfit(DFOP, FOCUS_2006_L2_mkin, parms.ini = c(k1 = 1, k2 = 0.01,  -    g = 0.8), quiet = TRUE) -plot(m.L2.DFOP) -``` - -  - -```r -summary(m.L2.DFOP, data = FALSE) -``` - -``` -## mkin version:    0.9.25  -## R version:       3.0.2  -## Date of fit:     Sun Nov 17 15:02:57 2013  -## Date of summary: Sun Nov 17 15:02:57 2013  -##  -## Equations: -## [1] d_parent = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 * time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time))) * parent -##  -## Method used for solution of differential equation system: -## analytical  -##  -## Weighting: none -##  -## Starting values for optimised parameters: -##          value   type transformed -## parent_0 1e+02  state    100.0000 -## k1       1e+00 deparm      0.0000 -## k2       1e-02 deparm     -4.6052 -## g        8e-01 deparm      0.9803 -##  -## Fixed parameter values: -## None -##  -## Optimised, transformed parameters: -##          Estimate Std. Error Lower Upper -## parent_0   93.900         NA    NA    NA -## k1          4.960         NA    NA    NA -## k2         -1.090         NA    NA    NA -## g          -0.282         NA    NA    NA -##  -## Backtransformed parameters: -##          Estimate Lower Upper -## parent_0   93.900    NA    NA -## k1        142.000    NA    NA -## k2          0.337    NA    NA -## g           0.402    NA    NA -##  -## Residual standard error: 1.73 on 8 degrees of freedom -##  -## 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 -## parent   NA   NA -##  -## Estimated formation fractions: -##             ff -## parent_sink  1 -##  -## Parameter correlation: -## Could not estimate covariance matrix; singular system: -``` - - -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. - -## Laboratory Data L3 - -The following code defines example dataset L3 from the FOCUS kinetics report, -p. 290. - - -```r -FOCUS_2006_L3 = data.frame(t = c(0, 3, 7, 14, 30, 60, 91, 120), parent = c(97.8,  -    60, 51, 43, 35, 22, 15, 12)) -FOCUS_2006_L3_mkin <- mkin_wide_to_long(FOCUS_2006_L3) -``` - - -SFO model, summary and plot: - - -```r -m.L3.SFO <- mkinfit(SFO, FOCUS_2006_L3_mkin, quiet = TRUE) -plot(m.L3.SFO) -``` - -  - -```r -summary(m.L3.SFO) -``` - -``` -## mkin version:    0.9.25  -## R version:       3.0.2  -## Date of fit:     Sun Nov 17 15:02:57 2013  -## Date of summary: Sun Nov 17 15:02:57 2013  -##  -## Equations: -## [1] d_parent = - k_parent_sink * parent -##  -## Method used for solution of differential equation system: -## analytical  -##  -## Weighting: none -##  -## Starting values for optimised parameters: -##               value   type transformed -## parent_0      100.0  state     100.000 -## k_parent_sink   0.1 deparm      -2.303 -##  -## Fixed parameter values: -## None -##  -## Optimised, transformed parameters: -##               Estimate Std. Error Lower Upper -## parent_0         74.90      8.460 54.20 95.60 -## k_parent_sink    -3.68      0.326 -4.48 -2.88 -##  -## Backtransformed parameters: -##               Estimate   Lower   Upper -## parent_0       74.9000 54.2000 95.6000 -## k_parent_sink   0.0253  0.0114  0.0561 -##  -## Residual standard error: 12.9 on 6 degrees of freedom -##  -## Chi2 error levels in percent: -##          err.min n.optim df -## All data    21.2       2  6 -## parent      21.2       2  6 -##  -## Estimated disappearance times: -##        DT50 DT90 -## parent 27.4 91.1 -##  -## Estimated formation fractions: -##             ff -## parent_sink  1 -##  -## Parameter correlation: -##               parent_0 k_parent_sink -## parent_0         1.000         0.548 -## k_parent_sink    0.548         1.000 -##  -## Data: -##  time variable observed predicted residual -##     0   parent     97.8     74.87  22.9273 -##     3   parent     60.0     69.41  -9.4065 -##     7   parent     51.0     62.73 -11.7340 -##    14   parent     43.0     52.56  -9.5634 -##    30   parent     35.0     35.08  -0.0828 -##    60   parent     22.0     16.44   5.5614 -##    91   parent     15.0      7.51   7.4896 -##   120   parent     12.0      3.61   8.3908 -``` - - -The chi^2 error level of 21% as well as the plot suggest that the model -does not fit very well.  - -The FOMC model performs better: - - -```r -m.L3.FOMC <- mkinfit(FOMC, FOCUS_2006_L3_mkin, quiet = TRUE) -plot(m.L3.FOMC) -``` - -  - -```r -summary(m.L3.FOMC, data = FALSE) -``` - -``` -## mkin version:    0.9.25  -## R version:       3.0.2  -## Date of fit:     Sun Nov 17 15:02:57 2013  -## Date of summary: Sun Nov 17 15:02:57 2013  -##  -## Equations: -## [1] d_parent = - (alpha/beta) * ((time/beta) + 1)^-1 * parent -##  -## Method used for solution of differential equation system: -## analytical  -##  -## Weighting: none -##  -## Starting values for optimised parameters: -##          value   type transformed -## parent_0   100  state     100.000 -## alpha        1 deparm       0.000 -## beta        10 deparm       2.303 -##  -## Fixed parameter values: -## None -##  -## Optimised, transformed parameters: -##          Estimate Std. Error Lower   Upper -## parent_0   97.000      4.550  85.3 109.000 -## alpha      -0.862      0.170  -1.3  -0.424 -## beta        0.619      0.474  -0.6   1.840 -##  -## Backtransformed parameters: -##          Estimate  Lower   Upper -## parent_0   97.000 85.300 109.000 -## alpha       0.422  0.273   0.655 -## beta        1.860  0.549   6.290 -##  -## Residual standard error: 4.57 on 5 degrees of freedom -##  -## Chi2 error levels in percent: -##          err.min n.optim df -## All data    7.32       3  5 -## parent      7.32       3  5 -##  -## Estimated disappearance times: -##        DT50 DT90 -## parent 7.73  431 -##  -## Estimated formation fractions: -##             ff -## parent_sink  1 -##  -## Parameter correlation: -##          parent_0  alpha   beta -## parent_0    1.000 -0.151 -0.427 -## alpha      -0.151  1.000  0.911 -## beta       -0.427  0.911  1.000 -``` - - -The error level at which the chi^2 test passes is 7% in this case. - -Fitting the four parameter DFOP model further reduces the chi^2 error level -considerably: - - -```r -m.L3.DFOP <- mkinfit(DFOP, FOCUS_2006_L3_mkin, quiet = TRUE) -plot(m.L3.DFOP) -``` - -  - -```r -summary(m.L3.DFOP, data = FALSE) -``` - -``` -## mkin version:    0.9.25  -## R version:       3.0.2  -## Date of fit:     Sun Nov 17 15:02:58 2013  -## Date of summary: Sun Nov 17 15:02:58 2013  -##  -## Equations: -## [1] d_parent = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 * time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time))) * parent -##  -## Method used for solution of differential equation system: -## analytical  -##  -## Weighting: none -##  -## Starting values for optimised parameters: -##          value   type transformed -## parent_0 1e+02  state     100.000 -## k1       1e-01 deparm      -2.303 -## k2       1e-02 deparm      -4.605 -## g        5e-01 deparm       0.000 -##  -## Fixed parameter values: -## None -##  -## Optimised, transformed parameters: -##          Estimate Std. Error  Lower    Upper -## parent_0   97.700     1.4400 93.800 102.0000 -## k1         -0.661     0.1330 -1.030  -0.2910 -## k2         -4.290     0.0590 -4.450  -4.1200 -## g          -0.123     0.0512 -0.265   0.0193 -##  -## Backtransformed parameters: -##          Estimate   Lower    Upper -## parent_0  97.7000 93.8000 102.0000 -## k1         0.5160  0.3560   0.7480 -## k2         0.0138  0.0117   0.0162 -## g          0.4570  0.4070   0.5070 -##  -## Residual standard error: 1.44 on 4 degrees of freedom -##  -## Chi2 error levels in percent: -##          err.min n.optim df -## All data    2.23       4  4 -## parent      2.23       4  4 -##  -## Estimated disappearance times: -##        DT50 DT90 -## parent 7.46  123 -##  -## Estimated formation fractions: -##             ff -## parent_sink  1 -##  -## Parameter correlation: -##          parent_0     k1      k2      g -## parent_0   1.0000  0.164  0.0131  0.425 -## k1         0.1640  1.000  0.4648 -0.553 -## k2         0.0131  0.465  1.0000 -0.663 -## g          0.4253 -0.553 -0.6631  1.000 -``` - - -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 chi^2 error -level criterion for laboratory data L3. - -## Laboratory Data L4 - -The following code defines example dataset L4 from the FOCUS kinetics -report, p. 293 - - -```r -FOCUS_2006_L4 = data.frame(t = c(0, 3, 7, 14, 30, 60, 91, 120), parent = c(96.6,  -    96.3, 94.3, 88.8, 74.9, 59.9, 53.5, 49)) -FOCUS_2006_L4_mkin <- mkin_wide_to_long(FOCUS_2006_L4) -``` - - -SFO model, summary and plot: - - -```r -m.L4.SFO <- mkinfit(SFO, FOCUS_2006_L4_mkin, quiet = TRUE) -plot(m.L4.SFO) -``` - -  - -```r -summary(m.L4.SFO, data = FALSE) -``` - -``` -## mkin version:    0.9.25  -## R version:       3.0.2  -## Date of fit:     Sun Nov 17 15:02:58 2013  -## Date of summary: Sun Nov 17 15:02:58 2013  -##  -## Equations: -## [1] d_parent = - k_parent_sink * parent -##  -## Method used for solution of differential equation system: -## analytical  -##  -## Weighting: none -##  -## Starting values for optimised parameters: -##               value   type transformed -## parent_0      100.0  state     100.000 -## k_parent_sink   0.1 deparm      -2.303 -##  -## Fixed parameter values: -## None -##  -## Optimised, transformed parameters: -##               Estimate Std. Error Lower  Upper -## parent_0         96.40       1.95 91.70 101.00 -## k_parent_sink    -5.03       0.08 -5.23  -4.83 -##  -## Backtransformed parameters: -##               Estimate    Lower    Upper -## parent_0      96.40000 91.70000 1.01e+02 -## k_parent_sink  0.00654  0.00538 7.95e-03 -##  -## Residual standard error: 3.65 on 6 degrees of freedom -##  -## Chi2 error levels in percent: -##          err.min n.optim df -## All data    3.29       2  6 -## parent      3.29       2  6 -##  -## Estimated disappearance times: -##        DT50 DT90 -## parent  106  352 -##  -## Estimated formation fractions: -##             ff -## parent_sink  1 -##  -## Parameter correlation: -##               parent_0 k_parent_sink -## parent_0         1.000         0.587 -## k_parent_sink    0.587         1.000 -``` - - -The chi^2 error level of 3.3% as well as the plot suggest that the model -fits very well.  - -The FOMC model for comparison - - -```r -m.L4.FOMC <- mkinfit(FOMC, FOCUS_2006_L4_mkin, quiet = TRUE) -plot(m.L4.FOMC) -``` - -  - -```r -summary(m.L4.FOMC, data = FALSE) -``` - -``` -## mkin version:    0.9.25  -## R version:       3.0.2  -## Date of fit:     Sun Nov 17 15:02:59 2013  -## Date of summary: Sun Nov 17 15:02:59 2013  -##  -## Equations: -## [1] d_parent = - (alpha/beta) * ((time/beta) + 1)^-1 * parent -##  -## Method used for solution of differential equation system: -## analytical  -##  -## Weighting: none -##  -## Starting values for optimised parameters: -##          value   type transformed -## parent_0   100  state     100.000 -## alpha        1 deparm       0.000 -## beta        10 deparm       2.303 -##  -## Fixed parameter values: -## None -##  -## Optimised, transformed parameters: -##          Estimate Std. Error Lower   Upper -## parent_0   99.100      1.680 94.80 103.000 -## alpha      -0.351      0.372 -1.31   0.607 -## beta        4.170      0.564  2.73   5.620 -##  -## Backtransformed parameters: -##          Estimate Lower  Upper -## parent_0   99.100 94.80 103.00 -## alpha       0.704  0.27   1.83 -## beta       65.000 15.30 277.00 -##  -## Residual standard error: 2.31 on 5 degrees of freedom -##  -## Chi2 error levels in percent: -##          err.min n.optim df -## All data    2.03       3  5 -## parent      2.03       3  5 -##  -## Estimated disappearance times: -##        DT50 DT90 -## parent  109 1644 -##  -## Estimated formation fractions: -##             ff -## parent_sink  1 -##  -## Parameter correlation: -##          parent_0  alpha   beta -## parent_0    1.000 -0.536 -0.608 -## alpha      -0.536  1.000  0.991 -## beta       -0.608  0.991  1.000 -``` - - -The error level at which the chi^2 test passes is slightly lower for the FOMC  -model. 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