Env: R 2.8.1, Win Xp, Eclipse/StatET
In a .Rd file, I have an example containing the lines:
# calculate Y M, using polynomial contrasts
trends <- as.matrix(VocabGrowth) %*% poly(8:11, degree=3)
colnames(trends)<- c("Linear", "Quad", "Cubic")
[At the risk of a long message, I'll append the complete .Rd file at the
end of this message, in case this was
triggered by an error elsewhere.]
I can run R CMD build and R CMD INSTALL without errors, but R CMD check
terminates with the following
error -- it seems to treat %*% as a Latex comment. Can anyone see what
is wrong?
* checking examples ... ERROR
Running examples in 'heplots-Ex.R' failed.
The error most likely occurred in:
> ### * VocabGrowth
>
> flush(stderr()); flush(stdout())
>
> ### Name: VocabGrowth
> ### Title: Vocabulary growth data
> ### Aliases: VocabGrowth
> ### Keywords: datasets
>
> ### ** Examples
>
> data(VocabGrowth)
>
> # Standard Multivariate & Univariate repeated measures analysis
> Vocab.mod <- lm(cbind(grade8,grade9,grade10,grade11) ~ 1,
data=VocabGrowth)
> idata <-data.frame(grade=ordered(8:11))
> Anova(Vocab.mod, idata=idata, idesign=~grade)
Warning in Anova.mlm(Vocab.mod, idata = idata, idesign = ~grade) :
the model contains only an intercept: equivalent Type III test substituted
Type III Repeated Measures MANOVA Tests: Pillai test statistic
Df test stat approx F num Df den Df Pr(>F)
(Intercept) 1 0.653 118.498 1 63 4.115e-16 ***
grade 1 0.826 96.376 3 61 < 2.2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
>
> # calculate Y M, using polynomial contrasts
> trends <- as.matrix(VocabGrowth)
> colnames(trends)<- c("Linear", "Quad", "Cubic")
Error in dimnames(x) <- dn :
length of 'dimnames' [2] not equal to array extent
Calls: colnames<-
Execution halted
---- VocabGrowth.Rd ---
\name{VocabGrowth}
\alias{VocabGrowth}
\docType{data}
\title{Vocabulary growth data}
\description{
Data from the Laboratory School of the University of Chicago.
They consist of scores from a cohort of pupils in grades 8-11 on
the vocabulary section of the Cooperative Reading Test. The
scores are scaled to a common, but arbitrary origin and unit
of measurement, so as to be comparable over the four grades.
}
\usage{data(VocabGrowth)}
\format{
A data frame with 64 observations on the following 4 variables.
\describe{
\item{\code{grade8}}{Grade 8 vocabulary score}
\item{\code{grade9}}{Grade 9 vocabulary score}
\item{\code{grade10}}{Grade 10 vocabulary score}
\item{\code{grade11}}{Grade 11 vocabulary score}
}
}
\details{
Since these data cover an age range in which physical growth
is beginning to decelerate, it is of interest whether a
similar effect occurs in the acquisition of new vocabulary.
}
\source{
R.D. Bock,
\emph{Multivariate statistical methods in behavioral research},
McGraw-Hill, New York,
1975, pp453.
}
\references{
Keesling, J.W., Bock, R.D. et al, "The Laboratory School study of
vocabulary growth",
University of Chicago, 1975.
}
\examples{
data(VocabGrowth)
# Standard Multivariate & Univariate repeated measures analysis
Vocab.mod <- lm(cbind(grade8,grade9,grade10,grade11) ~ 1, data=VocabGrowth)
idata <-data.frame(grade=ordered(8:11))
Anova(Vocab.mod, idata=idata, idesign=~grade)
# calculate Y M, using polynomial contrasts
trends <- as.matrix(VocabGrowth) %*% poly(8:11, degree=3)
colnames(trends)<- c("Linear", "Quad", "Cubic")
within.mod <- lm(trends ~ 1)
Manova(within.mod)
heplot(within.mod, terms="(Intercept)", col=c("red", "blue"), type="3",
main="HE plot for Grade effect")
points(0,0, cex=2.5, col="green", pch=19)
text(0,0, col="green", pos=2, labels="H0")
}
\keyword{datasets}
--- end ---
--
Michael Friendly Email: frien...@yorku.ca
Professor, Psychology Dept.
York University Voice: 416 736-5115 x66249 Fax: 416 736-5814
4700 Keele Street http://www.math.yorku.ca/SCS/friendly.html
Toronto, ONT M3J 1P3 CANADA
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