From 2bb59c88d49b193f278916ad9cc4de83c0de9604 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Wed, 2 Mar 2022 18:03:54 +0100 Subject: Make tests more platform independent, update docs --- docs/reference/IORE.solution.html | 240 ++++++++++++++------------------------ 1 file changed, 88 insertions(+), 152 deletions(-) (limited to 'docs/reference/IORE.solution.html') diff --git a/docs/reference/IORE.solution.html b/docs/reference/IORE.solution.html index f1a40d44..bfb69a40 100644 --- a/docs/reference/IORE.solution.html +++ b/docs/reference/IORE.solution.html @@ -1,68 +1,13 @@ - - - - - - - -Indeterminate order rate equation kinetics — IORE.solution • mkin - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -Indeterminate order rate equation kinetics — IORE.solution • mkin - + + - - - -
-
- -
- -
+

Indeterminate order rate equation kinetics

- Source: R/parent_solutions.R + Source: R/parent_solutions.R
@@ -149,100 +88,97 @@ a concentration dependent rate constant." /> 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

- -

Value

+
+ 
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

+
+
+

Value

The value of the response variable at time t.

-

Note

- +
+
+

Note

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

-

References

- +
+
+

References

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

-

See also

- -

Other parent solutions: -DFOP.solution(), -FOMC.solution(), -HS.solution(), -SFO.solution(), -SFORB.solution(), -logistic.solution()

- -

Examples

- 

-  plot(function(x) IORE.solution(x, 100, 0.2, 1.3), 0, 2, ylim = c(0, 100))
-
  # \dontrun{
-    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(fit.fomc$par, fit.iore$par, fit.iore.deS$par, 
-                     row.names = paste("model par", 1:4)))
-
#>             fit.fomc.par fit.iore.par fit.iore.deS.par
-#> model par 1  85.87489063    85.874890        85.874890
-#> model par 2   0.05192238    -4.826631        -4.826631
-#> model par 3   0.65096665     1.949403         1.949403
-#> model par 4   1.85744396     1.857444         1.857444
    print(rbind(fomc = endpoints(fit.fomc)$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
  # }
-
-
+
+
+

See also

+

Other parent solutions: +DFOP.solution(), +FOMC.solution(), +HS.solution(), +SFO.solution(), +SFORB.solution(), +logistic.solution()

+
+ +
+

Examples

+ 

+  plot(function(x) IORE.solution(x, 100, 0.2, 1.3), 0, 2, ylim = c(0, 100))
+
+  # \dontrun{
+    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(fit.fomc$par, fit.iore$par, fit.iore.deS$par, 
+                     row.names = paste("model par", 1:4)))
+#>             fit.fomc.par fit.iore.par fit.iore.deS.par
+#> model par 1  85.87489063    85.874890        85.874890
+#> model par 2   0.05192238    -4.826631        -4.826631
+#> model par 3   0.65096665     1.949403         1.949403
+#> model par 4   1.85744396     1.857444         1.857444
+    print(rbind(fomc = endpoints(fit.fomc)$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