From e1f2a552c8dc13ca51fce343db80d7939b20e928 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Fri, 21 Jul 2017 17:09:32 +0200 Subject: Recompile to get link in reference right --- vignettes/mkin.html | 22 +++++++++++++--------- 1 file changed, 13 insertions(+), 9 deletions(-) (limited to 'vignettes') diff --git a/vignettes/mkin.html b/vignettes/mkin.html index 76611010..9b0a4675 100644 --- a/vignettes/mkin.html +++ b/vignettes/mkin.html @@ -4,14 +4,14 @@ - + - + Introduction to mkin @@ -24,7 +24,7 @@ - + @@ -234,7 +234,7 @@ div.tocify {

Introduction to mkin

Johannes Ranke

-

2016-11-18

+

2017-07-21

@@ -243,8 +243,12 @@ div.tocify {

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 (Ranke 2016) 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)
-# Define the kinetic model
+
library(mkin)

+
## Loading required package: minpack.lm

+
## Loading required package: rootSolve

+
## Loading required package: inline

+
## Loading required package: parallel

+
# Define the kinetic model
 m_SFO_SFO_SFO <- mkinmod(parent = mkinsub("SFO", "M1"),
                          M1 = mkinsub("SFO", "M2"),
                          M2 = mkinsub("SFO"),
@@ -271,7 +275,7 @@ 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"))

-

+

Background

@@ -326,7 +330,7 @@ plot_sep(f_SFO_SFO_SFO, lpos = c("topright", "bottomright",

FOCUS Work Group on Degradation Kinetics. 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. http://focus.jrc.ec.europa.eu/dk.

-

———. 2014. Generic Guidance for Estimating Persistence and Degradation Kinetics from Environmental Fate Studies on Pesticides in Eu Registration. 1.1 ed. http://focus.jrc.ec.europa.eu/dk.

+

———. 2014. Generic Guidance for Estimating Persistence and Degradation Kinetics from Environmental Fate Studies on Pesticides in Eu Registration. 1.1 ed. http://esdac.jrc.ec.europa.eu/projects/degradation-kinetics.

R Development Core Team. 2016. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org.

@@ -377,7 +381,7 @@ $(document).ready(function () { (function () { var script = document.createElement("script"); script.type = "text/javascript"; - script.src = "https://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML"; + script.src = "https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML"; document.getElementsByTagName("head")[0].appendChild(script); })(); -- cgit v1.2.1