Lists model equations, the summary as returned by summary.modFit, the chi2 error levels calculated according to FOCUS guidance (2006) as far as defined therein, and optionally the data, consisting of observed, predicted and residual values.

# S3 method for mkinfit
summary(object, data = TRUE, distimes = TRUE, alpha = 0.05, ...)
# S3 method for summary.mkinfit
print(x, digits = max(3, getOption("digits") - 3), ...)

Arguments

object
an object of class mkinfit.
x
an object of class summary.mkinfit.
data
logical, indicating whether the data should be included in the summary.
distimes
logical, indicating whether DT50 and DT90 values should be included.
alpha
error level for confidence interval estimation from t distribution
digits
Number of digits to use for printing
…
optional arguments passed to methods like print.

Value

The summary function returns a list derived from summary.modFit, with components, among others

The print method is called for its side effect, i.e. printing the summary.

References

FOCUS (2006) “Guidance Document on Estimating Persistence and Degradation Kinetics from Environmental Fate Studies on Pesticides in EU Registration” Report of the FOCUS Work Group on Degradation Kinetics, EC Document Reference Sanco/10058/2005 version 2.0, 434 pp, http://focus.jrc.ec.europa.eu/dk

Examples

summary(mkinfit(mkinmod(parent = list(type = "SFO")), FOCUS_2006_A, quiet = TRUE))
#> mkin version: 0.9.44.9000 #> R version: 3.3.2 #> Date of fit: Fri Nov 4 17:09:10 2016 #> Date of summary: Fri Nov 4 17:09:10 2016 #> #> Equations: #> d_parent = - k_parent_sink * parent #> #> Model predictions using solution type analytical #> #> Fitted with method Port using 35 model solutions performed in 0.086 s #> #> Weighting: none #> #> Starting values for parameters to be optimised: #> value type #> parent_0 101.24 state #> k_parent_sink 0.10 deparm #> #> Starting values for the transformed parameters actually optimised: #> value lower upper #> parent_0 101.240000 -Inf Inf #> log_k_parent_sink -2.302585 -Inf Inf #> #> Fixed parameter values: #> None #> #> Optimised, transformed parameters with symmetric confidence intervals: #> Estimate Std. Error Lower Upper #> parent_0 109.200 4.3910 98.410 119.900 #> log_k_parent_sink -3.291 0.1152 -3.573 -3.009 #> #> Parameter correlation: #> parent_0 log_k_parent_sink #> parent_0 1.000 0.575 #> log_k_parent_sink 0.575 1.000 #> #> Residual standard error: 6.08 on 6 degrees of freedom #> #> Backtransformed parameters: #> Confidence intervals for internally transformed parameters are asymmetric. #> t-test (unrealistically) based on the assumption of normal distribution #> for estimators of untransformed parameters. #> Estimate t value Pr(>t) Lower Upper #> parent_0 109.20000 24.860 1.394e-07 98.41000 119.90000 #> k_parent_sink 0.03722 8.679 6.457e-05 0.02807 0.04934 #> #> Chi2 error levels in percent: #> err.min n.optim df #> All data 8.385 2 6 #> parent 8.385 2 6 #> #> Resulting formation fractions: #> ff #> parent_sink 1 #> #> Estimated disappearance times: #> DT50 DT90 #> parent 18.62 61.87 #> #> Data: #> time variable observed predicted residual #> 0 parent 101.24 109.153 -7.9132 #> 3 parent 99.27 97.622 1.6484 #> 7 parent 90.11 84.119 5.9913 #> 14 parent 72.19 64.826 7.3641 #> 30 parent 29.71 35.738 -6.0283 #> 62 parent 5.98 10.862 -4.8818 #> 90 parent 1.54 3.831 -2.2911 #> 118 parent 0.39 1.351 -0.9613