Much more complete version that was just submitted to CRAN.

git-svn-id: svn+ssh://svn.r-forge.r-project.org/svnroot/kinfit/pkg/mkin@9 edb9625f-4e0d-4859-8d74-9fd3b1da38cb

1 files changed, 46 insertions, 0 deletions

diff --git a/man/mkinerrmin.Rd b/man/mkinerrmin.Rd
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+\name{mkinerrmin}

+\Rdversion{1.1}

+\alias{mkinerrmin}

+\title{

+Calculate the minimum error to assume in order to pass the variance test

+}

+\description{

+This function uses \code{\link{optimize}} in order to iteratively find the

+smallest relative error still resulting in passing the chi-squared test

+as defined in the FOCUS kinetics report from 2006.

+}

+\usage{

+mkinerrmin(errdata, n.parms, alpha = 0.05)

+}

+\arguments{

+  \item{errdata}{

+    A data frame with mean observed values in column named \code{value_mean}

+    and predicted values in column \code{value_pred}.

+}

+  \item{n.parms}{

+    The number of optimized parameters to be taken into account for the data series.

+}

+  \item{alpha}{

+    The confidence level chosen for the chi-squared test.

+}

+}

+\value{

+  A list with the following components:

+  \item{err.min}{The relative error, expressed as a fraction.}

+  \item{n.optim}{The number of optimised parameters attributed to the data series.}

+  \item{df}{The number of remaining degrees of freedom for the chi2 error level calculations.

+    Note that mean values are used for the chi2 statistic and therefore every time point with 

+    observed values in the series only counts one time.}

+}

+\details{

+    This function is used internally by \code{\link{mkinfit}}.

+}

+\references{ 

+  FOCUS (2006) \dQuote{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,

+  EC Document Reference Sanco/10058/2005 version 2.0, 434 pp,

+  \url{http://focus.jrc.ec.europa.eu/dk} 

+}

+\author{ Johannes Ranke }

+\keyword{ manip }