From e05656d57668688b971c28e32b4cfd4d3eac4662 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Wed, 18 Sep 2019 13:03:50 +0200 Subject: Correct and rebuild docs - Reconcile docs and code for max_twa_parent - Correct links to docs in twa vignette - Static documentation rebuilt by pkgdown --- docs/articles/mkin.html | 27 ++++++++++++++++----------- 1 file changed, 16 insertions(+), 11 deletions(-) (limited to 'docs/articles/mkin.html') diff --git a/docs/articles/mkin.html b/docs/articles/mkin.html index 926bd907..90549b0f 100644 --- a/docs/articles/mkin.html +++ b/docs/articles/mkin.html @@ -7,8 +7,9 @@ Introduction to mkin • mkin - - + + + @@ -82,13 +83,14 @@ +

Introduction to mkin

Johannes Ranke

-

2019-07-09

+

2019-09-18

@@ -102,7 +104,7 @@

Abstract

In the regulatory evaluation of chemical substances like plant protection products (pesticides), biocides and other chemicals, degradation data play an important role. For the evaluation of pesticide degradation experiments, detailed guidance has been developed, based on nonlinear optimisation. The R add-on package mkin implements fitting some of the models recommended in this guidance from within R and calculates some statistical measures for data series within one or more compartments, for parent and metabolites.

-
library("mkin", quietly = TRUE)
+
library("mkin", quietly = TRUE)
 # Define the kinetic model
 m_SFO_SFO_SFO <- mkinmod(parent = mkinsub("SFO", "M1"),
                          M1 = mkinsub("SFO", "M2"),
@@ -111,12 +113,12 @@
 
 
 # Produce model predictions using some arbitrary parameters
-sampling_times = c(0, 1, 3, 7, 14, 28, 60, 90, 120)
+sampling_times = c(0, 1, 3, 7, 14, 28, 60, 90, 120)
 d_SFO_SFO_SFO <- mkinpredict(m_SFO_SFO_SFO,
-  c(k_parent = 0.03,
-    f_parent_to_M1 = 0.5, k_M1 = log(2)/100,
-    f_M1_to_M2 = 0.9, k_M2 = log(2)/50),
-  c(parent = 100, M1 = 0, M2 = 0),
+  c(k_parent = 0.03,
+    f_parent_to_M1 = 0.5, k_M1 = log(2)/100,
+    f_M1_to_M2 = 0.9, k_M2 = log(2)/50),
+  c(parent = 100, M1 = 0, M2 = 0),
   sampling_times)
 
 # Generate a dataset by adding normally distributed errors with
@@ -129,7 +131,7 @@
 f_SFO_SFO_SFO <- mkinfit(m_SFO_SFO_SFO, d_SFO_SFO_SFO_err[[1]], quiet = TRUE)
 
 # Plot the results separately for parent and metabolites
-plot_sep(f_SFO_SFO_SFO, lpos = c("topright", "bottomright", "bottomright"))

+plot_sep(f_SFO_SFO_SFO, lpos = c("topright", "bottomright", "bottomright"))

@@ -246,17 +248,20 @@
+
+ -- cgit v1.2.1