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authorranke <ranke@5fad18fb-23f0-0310-ab10-e59a3bee62b4>2012-09-11 23:56:14 +0000
committerranke <ranke@5fad18fb-23f0-0310-ab10-e59a3bee62b4>2012-09-11 23:56:14 +0000
commitb561996c588b6602b24aa1d236dee88f7c1d85a1 (patch)
treed3e4877c6b2ab0a249fba44955f2e611b69b7168
parentde25b97cfa4d97f0e7c3e1e845bfa91a200b91be (diff)
- Fixed the link to the bug report in the vignette - thanks to John Thaden for the hint
- Moved the vignette to the vignettes/ folder in order to avoid to write an .Rinstignore file - Made the vignette compile in trunk, the trunk contains unfinished stuff however git-svn-id: http://kriemhild.uft.uni-bremen.de/svn/chemCal@29 5fad18fb-23f0-0310-ab10-e59a3bee62b4
-rw-r--r--branches/0.1/chemCal/DESCRIPTION6
-rw-r--r--branches/0.1/chemCal/inst/doc/chemCal-001.pdf1727
-rw-r--r--branches/0.1/chemCal/inst/doc/chemCal-002.pdf275
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-rw-r--r--branches/0.1/chemCal/vignettes/Makefile (renamed from branches/0.1/chemCal/inst/doc/Makefile)0
-rw-r--r--branches/0.1/chemCal/vignettes/Rplots.ps (renamed from branches/0.1/chemCal/inst/doc/Rplots.ps)0
-rw-r--r--branches/0.1/chemCal/vignettes/chemCal-001.eps (renamed from branches/0.1/chemCal/inst/doc/chemCal-001.eps)0
-rw-r--r--branches/0.1/chemCal/vignettes/chemCal-001.pdfbin0 -> 12038 bytes
-rw-r--r--branches/0.1/chemCal/vignettes/chemCal-002.eps (renamed from branches/0.1/chemCal/inst/doc/chemCal-002.eps)0
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-rw-r--r--branches/0.1/chemCal/vignettes/chemCal.Rnw (renamed from branches/0.1/chemCal/inst/doc/chemCal.Rnw)2
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-rw-r--r--branches/0.1/chemCal/vignettes/chemCal.bbl (renamed from branches/0.1/chemCal/inst/doc/chemCal.bbl)0
-rw-r--r--branches/0.1/chemCal/vignettes/chemCal.blg (renamed from branches/0.1/chemCal/inst/doc/chemCal.blg)0
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-rw-r--r--branches/0.1/chemCal/vignettes/chemCal.out (renamed from branches/0.1/chemCal/inst/doc/chemCal.out)0
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-rw-r--r--branches/0.1/chemCal/vignettes/chemCal.tex (renamed from branches/0.1/chemCal/inst/doc/chemCal.tex)12
-rw-r--r--trunk/chemCal/DESCRIPTION4
-rw-r--r--trunk/chemCal/inst/doc/chemCal-001.pdf1727
-rw-r--r--trunk/chemCal/inst/doc/chemCal-002.pdf275
-rw-r--r--trunk/chemCal/inst/doc/chemCal.log362
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-rw-r--r--trunk/chemCal/inst/doc/chemCal.tex169
-rw-r--r--trunk/chemCal/man/chemCal-package.Rd1
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-rw-r--r--trunk/chemCal/vignettes/Rplots.ps (renamed from trunk/chemCal/inst/doc/Rplots.ps)0
-rw-r--r--trunk/chemCal/vignettes/chemCal-001.eps (renamed from trunk/chemCal/inst/doc/chemCal-001.eps)0
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-rw-r--r--trunk/chemCal/vignettes/chemCal.Rnw (renamed from trunk/chemCal/inst/doc/chemCal.Rnw)7
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-rw-r--r--trunk/chemCal/vignettes/chemCal.bbl (renamed from trunk/chemCal/inst/doc/chemCal.bbl)0
-rw-r--r--trunk/chemCal/vignettes/chemCal.blg (renamed from trunk/chemCal/inst/doc/chemCal.blg)2
-rw-r--r--trunk/chemCal/vignettes/chemCal.log399
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39 files changed, 559 insertions, 4623 deletions
diff --git a/branches/0.1/chemCal/DESCRIPTION b/branches/0.1/chemCal/DESCRIPTION
index 323827b..ba96f47 100644
--- a/branches/0.1/chemCal/DESCRIPTION
+++ b/branches/0.1/chemCal/DESCRIPTION
@@ -1,6 +1,6 @@
Package: chemCal
-Version: 0.1-27
-Date: 2010-09-12
+Version: 0.1-28
+Date: 2012-09-11
Title: Calibration functions for analytical chemistry
Author: Johannes Ranke <jranke@uni-bremen.de>
Maintainer: Johannes Ranke <jranke@uni-bremen.de>
@@ -12,7 +12,7 @@ Description: chemCal provides simple functions for plotting linear
of detection (LOQ) and limit of quantification (LOD).
The functions work on model objects from - optionally weighted - linear
regression (lm) or robust linear regression (rlm from the MASS package).
-License: GPL version 2 or newer
+License: GPL (>= 2)
URL: http://www.r-project.org,
http://www.uft.uni-bremen.de/chemie/ranke,
http://kriemhild.uft.uni-bremen.de/viewcvs/?root=chemCal
diff --git a/branches/0.1/chemCal/inst/doc/chemCal-001.pdf b/branches/0.1/chemCal/inst/doc/chemCal-001.pdf
deleted file mode 100644
index fcf034d..0000000
--- a/branches/0.1/chemCal/inst/doc/chemCal-001.pdf
+++ /dev/null
@@ -1,1727 +0,0 @@
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linear models of class \texttt{lm} or \texttt{rlm}, plus to datasets for
validation.
-A \href{http://bugs.r-project.org/cgi-bin/R/wishlst-fulfilled?id=8877;user=guest}{bug
+A \href{http://bugs.r-project.org/bugzilla3/show_bug.cgi?id=8877}{bug
report (PR\#8877)} and the following e-mail exchange on the r-devel mailing list about
prediction intervals from weighted regression entailed some further studies
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diff --git a/branches/0.1/chemCal/inst/doc/chemCal.out b/branches/0.1/chemCal/vignettes/chemCal.out
index e69de29..e69de29 100644
--- a/branches/0.1/chemCal/inst/doc/chemCal.out
+++ b/branches/0.1/chemCal/vignettes/chemCal.out
diff --git a/branches/0.1/chemCal/vignettes/chemCal.pdf b/branches/0.1/chemCal/vignettes/chemCal.pdf
new file mode 100644
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diff --git a/branches/0.1/chemCal/inst/doc/chemCal.tex b/branches/0.1/chemCal/vignettes/chemCal.tex
index 9617cda..6326126 100644
--- a/branches/0.1/chemCal/inst/doc/chemCal.tex
+++ b/branches/0.1/chemCal/vignettes/chemCal.tex
@@ -5,7 +5,7 @@
\title{Basic calibration functions for analytical chemistry}
\author{Johannes Ranke}
-\usepackage{/usr/share/R/share/texmf/Sweave}
+\usepackage{Sweave}
\begin{document}
\maketitle
@@ -23,7 +23,7 @@ At the moment, the package consists of four functions, working on univariate
linear models of class \texttt{lm} or \texttt{rlm}, plus to datasets for
validation.
-A \href{http://bugs.r-project.org/cgi-bin/R/wishlst-fulfilled?id=8877;user=guest}{bug
+A \href{http://bugs.r-project.org/bugzilla3/show_bug.cgi?id=8877}{bug
report (PR\#8877)} and the following e-mail exchange on the r-devel mailing list about
prediction intervals from weighted regression entailed some further studies
on this subject. However, I did not encounter any proof or explanation of the
@@ -52,7 +52,7 @@ provided by R:
\begin{Schunk}
\begin{Sinput}
-> plot(m0, which = 3)
+> plot(m0,which=3)
\end{Sinput}
\end{Schunk}
\includegraphics{chemCal-002}
@@ -66,7 +66,7 @@ is proposed which can be reproduced by
> yx <- split(y, x)
> ybar <- sapply(yx, mean)
> s <- round(sapply(yx, sd), digits = 2)
-> w <- round(1/(s^2), digits = 3)
+> w <- round(1 / (s^2), digits = 3)
> weights <- w[factor(x)]
> m <- lm(y ~ x, w = weights)
\end{Sinput}
@@ -77,14 +77,14 @@ we use the \texttt{inverse.predict} function:
\begin{Schunk}
\begin{Sinput}
-> inverse.predict(m, 15, ws = 1.67)
+> inverse.predict(m, 15, ws=1.67)
\end{Sinput}
\begin{Soutput}
$Prediction
[1] 5.865367
$`Standard Error`
-[1] 0.892611
+[1] 0.8926109
$Confidence
[1] 2.478285
diff --git a/trunk/chemCal/DESCRIPTION b/trunk/chemCal/DESCRIPTION
index 6ea7b56..320ee6b 100644
--- a/trunk/chemCal/DESCRIPTION
+++ b/trunk/chemCal/DESCRIPTION
@@ -1,6 +1,6 @@
Package: chemCal
-Version: 0.2-01
-Date: 2010-09-12
+Version: 0.2-02
+Date: 2012-09-11
Title: Calibration functions for analytical chemistry
Author: Johannes Ranke <jranke@uni-bremen.de>
Maintainer: Johannes Ranke <jranke@uni-bremen.de>
diff --git a/trunk/chemCal/inst/doc/chemCal-001.pdf b/trunk/chemCal/inst/doc/chemCal-001.pdf
deleted file mode 100644
index d523025..0000000
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+++ /dev/null
@@ -1,1727 +0,0 @@
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diff --git a/trunk/chemCal/inst/doc/chemCal.pdf b/trunk/chemCal/inst/doc/chemCal.pdf
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diff --git a/trunk/chemCal/inst/doc/chemCal.tex b/trunk/chemCal/inst/doc/chemCal.tex
deleted file mode 100644
index 9617cda..0000000
--- a/trunk/chemCal/inst/doc/chemCal.tex
+++ /dev/null
@@ -1,169 +0,0 @@
-\documentclass[a4paper]{article}
-%\VignetteIndexEntry{Short manual for the chemCal package}
-\usepackage{hyperref}
-
-\title{Basic calibration functions for analytical chemistry}
-\author{Johannes Ranke}
-
-\usepackage{/usr/share/R/share/texmf/Sweave}
-\begin{document}
-\maketitle
-
-The \texttt{chemCal} package was first designed in the course of a lecture and lab
-course on "analytics of organic trace contaminants" at the University of Bremen
-from October to December 2004. In the fall 2005, an email exchange with
-Ron Wehrens led to the belief that it would be desirable to implement the
-inverse prediction method given in \cite{massart97} since it also covers the
-case of weighted regression. Studies of the IUPAC orange book and of DIN 32645
-as well as publications by Currie and the Analytical Method Committee of the
-Royal Society of Chemistry and a nice paper by Castillo and Castells provided
-further understanding of the matter.
-
-At the moment, the package consists of four functions, working on univariate
-linear models of class \texttt{lm} or \texttt{rlm}, plus to datasets for
-validation.
-
-A \href{http://bugs.r-project.org/cgi-bin/R/wishlst-fulfilled?id=8877;user=guest}{bug
-report (PR\#8877)} and the following e-mail exchange on the r-devel mailing list about
-prediction intervals from weighted regression entailed some further studies
-on this subject. However, I did not encounter any proof or explanation of the
-formula cited below yet, so I can't really confirm that Massart's method is correct.
-
-When calibrating an analytical method, the first task is to generate a suitable
-model. If we want to use the \texttt{chemCal} functions, we will have to restrict
-ourselves to univariate, possibly weighted, linear regression so far.
-
-Once such a model has been created, the calibration can be graphically
-shown by using the \texttt{calplot} function:
-
-\begin{Schunk}
-\begin{Sinput}
-> library(chemCal)
-> data(massart97ex3)
-> m0 <- lm(y ~ x, data = massart97ex3)
-> calplot(m0)
-\end{Sinput}
-\end{Schunk}
-\includegraphics{chemCal-001}
-
-As we can see, the scatter increases with increasing x. This is also
-illustrated by one of the diagnostic plots for linear models
-provided by R:
-
-\begin{Schunk}
-\begin{Sinput}
-> plot(m0, which = 3)
-\end{Sinput}
-\end{Schunk}
-\includegraphics{chemCal-002}
-
-Therefore, in Example 8 in \cite{massart97} weighted regression
-is proposed which can be reproduced by
-
-\begin{Schunk}
-\begin{Sinput}
-> attach(massart97ex3)
-> yx <- split(y, x)
-> ybar <- sapply(yx, mean)
-> s <- round(sapply(yx, sd), digits = 2)
-> w <- round(1/(s^2), digits = 3)
-> weights <- w[factor(x)]
-> m <- lm(y ~ x, w = weights)
-\end{Sinput}
-\end{Schunk}
-
-If we now want to predict a new x value from measured y values,
-we use the \texttt{inverse.predict} function:
-
-\begin{Schunk}
-\begin{Sinput}
-> inverse.predict(m, 15, ws = 1.67)
-\end{Sinput}
-\begin{Soutput}
-$Prediction
-[1] 5.865367
-
-$`Standard Error`
-[1] 0.892611
-
-$Confidence
-[1] 2.478285
-
-$`Confidence Limits`
-[1] 3.387082 8.343652
-\end{Soutput}
-\begin{Sinput}
-> inverse.predict(m, 90, ws = 0.145)
-\end{Sinput}
-\begin{Soutput}
-$Prediction
-[1] 44.06025
-
-$`Standard Error`
-[1] 2.829162
-
-$Confidence
-[1] 7.855012
-
-$`Confidence Limits`
-[1] 36.20523 51.91526
-\end{Soutput}
-\end{Schunk}
-
-The weight \texttt{ws} assigned to the measured y value has to be
-given by the user in the case of weighted regression, or alternatively,
-the approximate variance \texttt{var.s} at this location.
-
-\section*{Theory for \texttt{inverse.predict}}
-Equation 8.28 in \cite{massart97} gives a general equation for predicting the
-standard error $s_{\hat{x_s}}$ for an x value predicted from measurements of y
-according to the linear calibration function $ y = b_0 + b_1 \cdot x$:
-
-\begin{equation}
-s_{\hat{x_s}} = \frac{s_e}{b_1} \sqrt{\frac{1}{w_s m} + \frac{1}{\sum{w_i}} +
- \frac{(\bar{y_s} - \bar{y_w})^2 \sum{w_i}}
- {{b_1}^2 \left( \sum{w_i} \sum{w_i {x_i}^2} -
- {\left( \sum{ w_i x_i } \right)}^2 \right) }}
-\end{equation}
-
-with
-
-\begin{equation}
-s_e = \sqrt{ \frac{\sum w_i (y_i - \hat{y_i})^2}{n - 2}}
-\end{equation}
-
-where $w_i$ is the weight for calibration standard $i$, $y_i$ is the mean $y$
-value (!) observed for standard $i$, $\hat{y_i}$ is the estimated value for
-standard $i$, $n$ is the number calibration standards, $w_s$ is the weight
-attributed to the sample $s$, $m$ is the number of replicate measurements of
-sample $s$, $\bar{y_s}$ is the mean response for the sample,
-$\bar{y_w} = \frac{\sum{w_i y_i}}{\sum{w_i}}$ is the weighted mean of responses
-$y_i$, and $x_i$ is the given $x$ value for standard $i$.
-
-The weight $w_s$ for the sample should be estimated or calculated in accordance
-to the weights used in the linear regression.
-
-I adjusted the above equation in order to be able to take a different
-precisions in standards and samples into account. In analogy to Equation 8.26
-from \cite{massart97} we get
-
-\begin{equation}
-s_{\hat{x_s}} = \frac{1}{b_1} \sqrt{\frac{{s_s}^2}{w_s m} +
- {s_e}^2 \left( \frac{1}{\sum{w_i}} +
- \frac{(\bar{y_s} - \bar{y_w})^2 \sum{w_i}}
- {{b_1}^2 \left( \sum{w_i} \sum{w_i {x_i}^2} - {\left( \sum{ w_i x_i } \right)}^2 \right) } \right) }
-\end{equation}
-
-where I interpret $\frac{{s_s}^2}{w_s}$ as an estimator of the variance at location
-$\hat{x_s}$, which can be replaced by a user-specified value using the argument
-\texttt{var.s} of the function \texttt{inverse.predict}.
-
-\begin{thebibliography}{1}
-\bibitem{massart97}
-Massart, L.M, Vandenginste, B.G.M., Buydens, L.M.C., De Jong, S., Lewi, P.J.,
-Smeyers-Verbeke, J.
-\newblock Handbook of Chemometrics and Qualimetrics: Part A,
-\newblock Elsevier, Amsterdam, 1997
-\end{thebibliography}
-
-\end{document}
diff --git a/trunk/chemCal/man/chemCal-package.Rd b/trunk/chemCal/man/chemCal-package.Rd
index 4456150..fb09cb1 100644
--- a/trunk/chemCal/man/chemCal-package.Rd
+++ b/trunk/chemCal/man/chemCal-package.Rd
@@ -14,4 +14,3 @@
Author and Maintainer: Johannes Ranke <jranke@uni-bremen.de>
}
\keyword{manip}
-}
diff --git a/trunk/chemCal/inst/doc/Makefile b/trunk/chemCal/vignettes/Makefile
index 8eca69e..8eca69e 100644
--- a/trunk/chemCal/inst/doc/Makefile
+++ b/trunk/chemCal/vignettes/Makefile
diff --git a/trunk/chemCal/vignettes/Rplots.pdf b/trunk/chemCal/vignettes/Rplots.pdf
new file mode 100644
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+++ b/trunk/chemCal/vignettes/Rplots.pdf
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index c5e68ec..c5e68ec 100644
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+++ b/trunk/chemCal/vignettes/Rplots.ps
diff --git a/trunk/chemCal/inst/doc/chemCal-001.eps b/trunk/chemCal/vignettes/chemCal-001.eps
index acc5f4b..acc5f4b 100644
--- a/trunk/chemCal/inst/doc/chemCal-001.eps
+++ b/trunk/chemCal/vignettes/chemCal-001.eps
diff --git a/trunk/chemCal/vignettes/chemCal-001.pdf b/trunk/chemCal/vignettes/chemCal-001.pdf
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diff --git a/trunk/chemCal/inst/doc/chemCal-002.eps b/trunk/chemCal/vignettes/chemCal-002.eps
index c0ee749..c0ee749 100644
--- a/trunk/chemCal/inst/doc/chemCal-002.eps
+++ b/trunk/chemCal/vignettes/chemCal-002.eps
diff --git a/trunk/chemCal/vignettes/chemCal-002.pdf b/trunk/chemCal/vignettes/chemCal-002.pdf
new file mode 100644
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--- /dev/null
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diff --git a/trunk/chemCal/inst/doc/chemCal.Rnw b/trunk/chemCal/vignettes/chemCal.Rnw
index 956c664..3c46540 100644
--- a/trunk/chemCal/inst/doc/chemCal.Rnw
+++ b/trunk/chemCal/vignettes/chemCal.Rnw
@@ -22,7 +22,7 @@ At the moment, the package consists of four functions, working on univariate
linear models of class \texttt{lm} or \texttt{rlm}, plus to datasets for
validation.
-A \href{http://bugs.r-project.org/cgi-bin/R/wishlst-fulfilled?id=8877;user=guest}{bug
+A \href{http://bugs.r-project.org/bugzilla3/show_bug.cgi?id=8877}{bug
report (PR\#8877)} and the following e-mail exchange on the r-devel mailing list about
prediction intervals from weighted regression entailed some further studies
on this subject. However, I did not encounter any proof or explanation of the
@@ -136,6 +136,7 @@ case.
Let's take the above example and estimate a variance function
<<>>=
+library(doBy)
massart97ex3
massart97ex3$x <- factor(massart97ex3$x)
summary <- summaryBy(y~x, data = massart97ex3,FUN=c(mean,sd,var))
@@ -146,9 +147,7 @@ plot(summary$x, summary$y.var,
varModel <- lm(y.var ~ I(x^2) + x, data=summary)
varCurve <- predict(varModel, newdata=data.frame(x=0:5000/100))
lines(0:5000/100,varCurve)
-
-
-
+@
\begin{thebibliography}{1}
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index 20bfc98..20bfc98 100644
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diff --git a/trunk/chemCal/inst/doc/chemCal.bbl b/trunk/chemCal/vignettes/chemCal.bbl
index e69de29..e69de29 100644
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diff --git a/trunk/chemCal/inst/doc/chemCal.blg b/trunk/chemCal/vignettes/chemCal.blg
index 72f5a0e..2904a63 100644
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+++ b/trunk/chemCal/vignettes/chemCal.blg
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