From 8f38147e145c66ebd27f5d9fcc6f00172c25872f Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Wed, 26 Oct 2016 23:18:20 +0200 Subject: Static documentation rebuilt by pkgdown::build_site() --- docs/reference/IORE.solution.html | 89 ++++++++++++++++++++++++--------------- 1 file changed, 54 insertions(+), 35 deletions(-) (limited to 'docs/reference/IORE.solution.html') diff --git a/docs/reference/IORE.solution.html b/docs/reference/IORE.solution.html index 06f5c1ad..58546489 100644 --- a/docs/reference/IORE.solution.html +++ b/docs/reference/IORE.solution.html @@ -6,14 +6,13 @@ -IORE.solution. mkin + Indeterminate order rate equation kinetics — IORE.solution • mkin - - + @@ -22,6 +21,7 @@ + @@ -34,10 +34,9 @@ -
+
- -
-
-

Indeterminate order rate equation kinetics

-
+
+
+
+

Indeterminate order rate equation kinetics

+
-
-

Function describing exponential decline from a defined starting value, with a concentration dependent rate constant.

@@ -83,7 +84,7 @@ 
IORE.solution(t, parent.0, k__iore, N)
-

Arguments

+

Arguments

t
Time.
@@ -95,53 +96,71 @@
Exponent describing the nonlinearity of the rate equation
-
-

Note

+

Note

-

The solution of the IORE kinetic model reduces to the - SFO.solution if N = 1. +

The solution of the IORE kinetic model reduces to the + SFO.solution if N = 1. The parameters of the IORE model can be transformed to equivalent parameters of the FOMC mode - see the NAFTA guidance for details.

-
- -
-

Value

- -

The value of the response variable at time t.

-
+ +

Value

-
-

References

+

The value of the response variable at time t.

+ +

References

-

NAFTA Technical Working Group on Pesticides (not dated) Guidance for +

NAFTA Technical Working Group on Pesticides (not dated) Guidance for Evaluating and Calculating Degradation Kinetics in Environmental Media

-
-

Examples

+ +

+ + Examples + 

  plot(function(x) IORE.solution(x, 100, 0.2, 1.3), 0, 2,
-                                       ylim = c(0, 100))
  fit.fomc <- mkinfit("FOMC", FOCUS_2006_C, quiet = TRUE)
-  fit.iore <- mkinfit("IORE", FOCUS_2006_C, quiet = TRUE)
-  fit.iore.deS <- mkinfit("IORE", FOCUS_2006_C, solution_type = "deSolve", quiet = TRUE)
+                                       ylim = c(0, 100))
  fit.fomc <- mkinfit("FOMC", FOCUS_2006_C, quiet = TRUE)
+  fit.iore <- mkinfit("IORE", FOCUS_2006_C, quiet = TRUE)
+  fit.iore.deS <- mkinfit("IORE", FOCUS_2006_C, solution_type = "deSolve", quiet = TRUE)
 
   print(data.frame(coef(fit.fomc), coef(fit.iore), coef(fit.iore.deS),
                    row.names = paste("model par", 1:3)))
#>             coef.fit.fomc. coef.fit.iore. coef.fit.iore.deS.
 #> model par 1    85.87489063      85.874891          85.874890
 #> model par 2     0.05192238      -4.826631          -4.826631
 #> model par 3     0.65096665       1.949403           1.949403
-#> 
  print(rbind(fomc = endpoints(fit.fomc)$distimes, iore = endpoints(fit.iore)$distimes,
-              iore.deS = endpoints(fit.iore)$distimes))
#>              DT50    DT90 DT50back
+#> 
  print(rbind(fomc = endpoints(fit.fomc)$distimes, iore = endpoints(fit.iore)$distimes,
+              iore.deS = endpoints(fit.iore)$distimes))
#>              DT50    DT90 DT50back
 #> fomc     1.785233 15.1479 4.559973
 #> iore     1.785233 15.1479 4.559973
 #> iore.deS 1.785233 15.1479 4.559973
 #>
-
+
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