similar to: html help fails for named vector objects (PR#9927)

rug() may add integer axis labels when called with a POSIXlt object as argument. dtimes <- c("09/29/2007 12:54", "09/30/2007 00:14", "10/01/2007 00:14", "10/02/2007 00:14", "10/03/2007 00:14", "10/04/2007 00:14", "10/05/2007 00:14", "10/06/2007 00:14", "10/07/2007

The inst/doc directory of the DAAG package has 6 files coral551.spot, ... that are around 0.85 MB each. It would be useful to be able to zip then, but that as matters stand interferes with the use of the Sweave file that uses them to demonstrate input of expression array data that is in the "spot" format. They do not automatically get unzipped when required. I have checked that

Can anyone suggest an equivalent, for lattice graphs, of the base graphics argument bty="l"? NB that I am leaving off the box around the strip, with a strip function: stripfun <- function(which.given,which.panel, factor.levels=as.expression(levlist), ...){ panel.text(x=0, y=0.5, lab = as.expression(levlist[which.panel[which.given]]),

Does anyone know any more than is in the following press release about REvolution Computing and their commercialization of R? http://www.intel.com/capital/news/releases/080122.htm "Intel Capital, the global investment arm of Intel Corporation, today announced that it has invested in the Series A financing of REvolution Computing, creator of parallel computing software for computational

I am looking for information on experimentation with the use of R in the teaching of statistics and science in schools. Any leads would be very welcome. I am certain that there is such experimentation. I've made this inquiry on r-sig-teaching, with no response. John. John Maindonald email: john.maindonald at anu.edu.au phone : +61 2 (6125)3473 fax : +61 2(6125)5549 Centre

In Section 1.4.2 of "Writing R Extensions" %\VignetteEngine{knitr::knitr} should be %\VignetteEngine{knitr::knit} > sessionInfo() R version 3.0.2 (2013-09-25) Platform: x86_64-apple-darwin10.8.0 (64-bit) Is this sort of thing best reported here, or is a huge report in order? John Maindonald email: john.maindonald at anu.edu.au phone : +61 2 (6125)3473 fax

<<< Thus factor analysis is in essence a model for the correlation matrix of x, ? = ?'? + ? >>> This should surely be ? = ??' + ? Also line 3 under ?Details? says <<< for a p?element row-vector x, ? >>> x is here surely a column vector, albeit the transpose of a row vector from the data matrix. cf page 322 of ?Modern Applied Statistics with S?, 4th

expression() accepts multiple expressions as arguments, thus: plot(1:2, 1:2) legend("topleft", expression(y == a * x^b, "where "* paste(y=="wood; ", x=="dbh"))) Is there a way to do this when values are to be substituted for a and b? i.e., the first element of the legend argument to legend() becomes,

Dear R community, I am trying to resolve a discrepancy between the way SPSS and R handle 2-way, repeated measures ANOVA. An experiment was performed in which samples were drawn before and after treatment of four groups of subjects (control and disease states 1, 2 and 3). Each group contained five subjects. An experimental measurement was performed on each sample to yield a

The following is 'semicolon.Rnw' > \SweaveOpts{engine=R, keep.source=TRUE} > > <<xycig-A, eval=f, echo=f>>= > library(SMIR); data(bronchit); library(KernSmooth) > @ % > > Code for panel A is > <<code-xycig-A, eval=f, echo=t>>= > <<xycig-A>> > @ % Sweave("semicolon") yields the following 'semicolon.tex'

Hi I have a matrix with 30 observations and roughly 30000 variables, each obs belongs to one of two groups. With svm and slda I get into memory troubles ('cannot allocate vector of size' roughly 2G). PCA LDA runs fine. Are there any way to use the memory issue withe SVM's? Or can you recommend any other classification method for such huge datasets? P.S. I run suse 9.1 on a 2G RAM

I have a file 4lmetc.Rnw, intended for inclusion in a LaTeX document, that starts: \SweaveOpts{engine=R, keep.source=TRUE} \SweaveOpts{eps=FALSE, prefix.string=snArt/4lmetc} The attempt to process the file through Sweave generates the error: > Sweave("4lmetc") Writing to file 4lmetc.tex Processing code chunks ... 1 : keep.source term verbatim Error in file(srcfile$filename, open =

I propose the following enhancements and changes to plot.lm(), the most important of which is the addition of a Residuals vs Leverage plot. (1) A residual versus leverage plot has been added, available by specifying which = 5, and not included as one of the default plots. Contours of Cook's distance are included, by default at values of 0.5 and 1.0. The labeled points, if any, are those

I am doing [R version 3.1.2 (2014-10-31) -- "Pumpkin Helmet?; Platform: x86_64-apple-darwin10.8.0 (64-bit)] > R CMD build DAAGviz > R CMD check DAAGviz_1.0.3.tar.gz Without a .Rinstignore file, I get: <<< The following files should probably not be installed: ?figs10.pdf?, ?figs11.pdf?, ?figs12.pdf?, ?figs13.pdf?, ?figs14.pdf?, ?figs5.pdf?, ?figs6.pdf?, ?figs9.pdf?

I get the same style of path as Hadley. This is on Windows 7 Home Premium with SP1. I start R by clicking on the R-2.31.0 icon. I'd assumed that it was a change that came with R-2.13.0! (On 32-bit Windows XP, which I have just checked, I do indeed get the 8.3 paths.) > R.home() [1] "C:/Programs/R/R-2.13.0" > sessionInfo() R version 2.13.0 (2011-04-13) Platform:

Dear R community, In the excellent nlme package the default diagnostic plot graphs the innermost residuals against innermost fitted values. I recently fit a mixed-effects model in which there was a very clear positive linear trend in this plot. I inferred that this trend occurred because my fixed effect was a two-level factor, and my random effect was a 12-level factor. The negative residuals

I am puzzled by the warning message in the output below. It appears whether or not I fit the seasonal term (but the precise point of doing this was to fit what is effectively a second seasonal term). Is there some deep reason why AR parameters ("Warning message: some AR parameters were fixed: ...") should somehow intrude into the fitting of a model that has only MA terms? >

Consider the following analysis of a class experiment done as a Latin Square: > spinner <- gl(4,4,16,label=c("Murray","Angela","Shasha","Stephen")) > order <- gl(4,1,16) > treat <- scan() 1: 1 2 4 3 5: 4 3 1 2 9: 3 4 2 1 13: 2 1 3 4 17: Read 16 items > coin <-

I'd like to be able to modify axlab in (C) below so that 'Inf' is replaced by the infinity symbol. y <- rnorm(40) breaks <- c(-Inf, -1, 1, Inf) x <- cut(y, breaks=breaks) plot(unclass(x), y, xaxt="n", xlab="") ## A: The following gives the axis labels "(-Inf, 1]", etc. axis(1, at=1:3, labels=expression("(-Inf,-1]", "(-1,1]",

I've changed the heading because this really is another thread. I think it inevitable that there will, in the course of time, be other lists that are devoted, in some shape or form, to the concerns of practitioners (at all levels) who are using R. One development I'd not like to see is fracture along application area lines, allowing those who are comfortable in coteries whose