From 38f9e15f0c972c1516ae737a2bca8d7789581bbd Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Thu, 6 Oct 2016 09:19:21 +0200 Subject: Static documentation rebuilt by pkgdown::build_site() --- docs/reference/IORE.solution.html | 149 ++++++++++++++++++++++++++++++++++++++ 1 file changed, 149 insertions(+) create mode 100644 docs/reference/IORE.solution.html (limited to 'docs/reference/IORE.solution.html') diff --git a/docs/reference/IORE.solution.html b/docs/reference/IORE.solution.html new file mode 100644 index 00000000..06f5c1ad --- /dev/null +++ b/docs/reference/IORE.solution.html @@ -0,0 +1,149 @@ + + + + + + + + +IORE.solution. mkin + + + + + + + + + + + + + + + + + + + + + + + + +
+
+ + + +
+ +
+

Indeterminate order rate equation kinetics

+
+ +
+
+ +

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

+ + + 
IORE.solution(t, parent.0, k__iore, N)
+ +

Arguments

+
+
t
+
Time.
+
parent.0
+
Starting value for the response variable at time zero.
+
k__iore
+
Rate constant. Note that this depends on the concentration units used.
+
N
+
Exponent describing the nonlinearity of the rate equation
+
+ +
+

Note

+ +

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.

+
+ +
+

References

+ +

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

+
+ +

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)
+
+  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
+#> fomc     1.785233 15.1479 4.559973
+#> iore     1.785233 15.1479 4.559973
+#> iore.deS 1.785233 15.1479 4.559973
+#>
+
+
+
+
+ + +
+ + + -- cgit v1.2.1