From 7c62da1269e8910a210ba1917d4dc62d186d5606 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Thu, 6 Oct 2016 09:40:35 +0200 Subject: Static documentation rebuilt by pkgdown::build_site() --- docs/mkinerrmin.html | 161 --------------------------------------------------- 1 file changed, 161 deletions(-) delete mode 100644 docs/mkinerrmin.html (limited to 'docs/mkinerrmin.html') diff --git a/docs/mkinerrmin.html b/docs/mkinerrmin.html deleted file mode 100644 index 58cf6d47..00000000 --- a/docs/mkinerrmin.html +++ /dev/null @@ -1,161 +0,0 @@ - - - - -mkinerrmin. mkin 0.9.44.9000 - - - - - - - - - - - - - - - -
-
-
- mkin 0.9.44.9000 -
- -
-
-
-
- - -
-
- -
- -

-Calculate the minimum error to assume in order to pass the variance test -

- -
-
-

Usage

- 
mkinerrmin(fit, alpha = 0.05)
- -

Arguments

-
-
fit
-
- an object of class mkinfit. -
-
alpha
-
- The confidence level chosen for the chi-squared test. -
-
- -
-

Description

- -

This function uses optimize in order to iteratively find the -smallest relative error still resulting in passing the chi-squared test -as defined in the FOCUS kinetics report from 2006.

- -
- -
-

Value

- -

- A dataframe with the following components: -
err.min
The relative error, expressed as a fraction.

- -

n.optim
The number of optimised parameters attributed to the data series.

- -

df
The number of remaining degrees of freedom for the chi2 error level - calculations. Note that mean values are used for the chi2 statistic and - therefore every time point with observed values in the series only counts - one time.

- -

The dataframe has one row for the total dataset and one further row for - each observed state variable in the model. -

- -
- -
-

Details

- -

This function is used internally by summary.mkinfit.

- -
- -
-

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

- 
SFO_SFO = mkinmod(parent = list(type = "SFO", to = "m1"),
-                  m1 = list(type = "SFO"),
-                  use_of_ff = "max")

-Successfully compiled differential equation model from auto-generated C code.
-

-fit_FOCUS_D = mkinfit(SFO_SFO, FOCUS_2006_D, quiet = TRUE)
-round(mkinerrmin(fit_FOCUS_D), 4)

-
         err.min n.optim df
-All data  0.0640       4 15
-parent    0.0646       2  7
-m1        0.0469       2  8
-

-
fit_FOCUS_E = mkinfit(SFO_SFO, FOCUS_2006_E, quiet = TRUE)
-round(mkinerrmin(fit_FOCUS_E), 4)

-
         err.min n.optim df
-All data  0.1544       4 13
-parent    0.1659       2  7
-m1        0.1095       2  6
-
-
-
- - - - - -
-
- - -
- - \ No newline at end of file -- cgit v1.2.1