From af2e1540cdad2fd00bb6216a38a754ff748629ad Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Fri, 25 Oct 2019 02:10:08 +0200 Subject: Static documentation rebuilt by pkgdown --- docs/reference/mkinerrmin.html | 57 +++++++++++++++++++----------------------- 1 file changed, 26 insertions(+), 31 deletions(-) (limited to 'docs/reference/mkinerrmin.html') diff --git a/docs/reference/mkinerrmin.html b/docs/reference/mkinerrmin.html index 941e30f5..1a31bc60 100644 --- a/docs/reference/mkinerrmin.html +++ b/docs/reference/mkinerrmin.html @@ -8,11 +8,13 @@ Calculate the minimum error to assume in order to pass the variance test — mkinerrmin • mkin + + @@ -32,14 +34,15 @@ - - + + + @@ -110,7 +113,6 @@ chi-squared test as defined in the FOCUS kinetics report from 2006." /> News - @@ -132,14 +134,12 @@ chi-squared test as defined in the FOCUS kinetics report from 2006." />
- -

This function finds the smallest relative error still resulting in passing the -chi-squared test as defined in the FOCUS kinetics report from 2006.

- +

This function finds the smallest relative error still resulting in passing +the chi-squared test as defined in the FOCUS kinetics report from 2006.

mkinerrmin(fit, alpha = 0.05)
- +

Arguments

@@ -152,35 +152,33 @@ chi-squared test as defined in the FOCUS kinetics report from 2006.

The confidence level chosen for the chi-squared test.
- +

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. +
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://esdac.jrc.ec.europa.eu/projects/degradation-kinetics

- +

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://esdac.jrc.ec.europa.eu/projects/degradation-kinetics

Examples

- 
SFO_SFO = mkinmod(parent = mkinsub("SFO", to = "m1"),
+    

+SFO_SFO = mkinmod(parent = mkinsub("SFO", to = "m1"),
                   m1 = mkinsub("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)
#> Warning: Observations with value of zero were removed from the data
round(mkinerrmin(fit_FOCUS_D), 4)
#>          err.min n.optim df
@@ -192,19 +190,16 @@ chi-squared test as defined in the FOCUS kinetics report from 2006.

 #> All data  0.1544       4 13
 #> parent    0.1659       2  7
 #> m1        0.1095       2  6
# }
+