On 07/03/2011 10:21 AM, Michael Friendly wrote:
In an Sweave slide, I want to use sem::read.moments() and
sem::specify.model(), which work
by using scan() to read the following lines, up to the first blank
line. However, Sweave
throws an error:
> Sweave("sem-thurstone.Rnw")
Writing to file sem-thurstone.tex
Processing code chunks ...
1 : term hide (label=arrests-setup)
2 : echo term hide (label=thurstone-data)
Error: chunk 2 (label=thurstone-data)
Error in sem-thurstone.Rnw:43:12: unexpected numeric constant
42: .828
43: .776 .779
^
Is there some switch or option for Sweave that will make this work?
I don't think so. The way Sweave works is not to pipe the code chunks
into a console-like evaluator, it's to parse the whole code chunk, then
evaluate the expressions one by one.
So you can probably fake the behaviour by telling read.moments to read
from somewhere else and showing different code than you really
executed on the slide, but I don't think there's a way to honestly do
what you want.
You might be able to automate this, i.e. to write code that source()'s a
file and echos the right tex code to make it look as though it was entered
at the command line, but it would be messy.
Duncan Murdoch
Below is the slide in question in an executable example:
\documentclass[dvipsnames,pdflatex,compress,beamer]{beamer}
\usepackage{Sweave}
\definecolor{Sinput}{rgb}{1,0,0}
\definecolor{Scode}{rgb}{0,0,0.56}
\definecolor{Soutput}{rgb}{0,0,1}
\DefineVerbatimEnvironment{Sinput}{Verbatim}{formatcom={\color{Sinput}},fontsize=\footnotesize,baselinestretch=0.9}
\DefineVerbatimEnvironment{Soutput}{Verbatim}{formatcom={\color{Soutput}},fontsize=\footnotesize,baselinestretch=0.85}
\DefineVerbatimEnvironment{Scode}{Verbatim}{formatcom={\color{Scode}},fontsize=\small}
\begin{document}
\SweaveOpts{engine=R,height=6,width=6,results=hide,fig=FALSE,echo=TRUE}
\SweaveOpts{prefix.string=fig/sem}
\section{sem package: Second-order CFA, Thurstone data}
\begin{frame}[fragile]
\frametitle{sem package: Second-order CFA, Thurstone data}
\framesubtitle{Data}
Data on 9 ability variables:
<<thurstone-data, echo=TRUE>>=
R.thur<- read.moments(diag=FALSE, names=c('Sentences','Vocabulary',
'Sent.Completion','First.Letters','4.Letter.Words','Suffixes',
'Letter.Series','Pedigrees', 'Letter.Group'))
.828
.776 .779
.439 .493 .46
.432 .464 .425 .674
.447 .489 .443 .59 .541
.447 .432 .401 .381 .402 .288
.541 .537 .534 .35 .367 .32 .555
.38 .358 .359 .424 .446 .325 .598 .452
@
\end{frame}
\end{document}
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