similar to: REvolution

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]]),

Dear R-devel, REvolution appear to be offering ParallelR only when bundled with their R Enterprise edition. As such it appears to be non-free and closed source. http://www.revolution-computing.com/products/parallel-r.php Since R is GPL and not LGPL, is this a breach of the GPL ? Below is the "GPL and ParallelR" thread from their R forum. mdowle > It appears that ParallelR

Will R have more glitches on one operating system as opposed to another, or is it pretty much the same? robert

Has anyone heard whether Revolution Analytics is going to release this capability to the R community? http://www.businesswire.com/news/home/20110201005852/en/Revolution-Analytics-Unlocks-SAS-Data Dan Daniel Nordlund Bothell, WA USA

help(letters, htmlhelp=TRUE) fails. Under the Mac OSX gui, the message is 'Help for the topic "a" was not found.' Under the version documented below, and under Windows, the message is "No documentation for 'a' in specified packages and libraries:" repeated for all the elements of letters, then followed by "you could try

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

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 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

I write about R every weekday at?http://blog.revolution-computing.com . In case you missed them, here are some articles from the month of April of particular interest to r-help subscribers. Thanks to everyone who has been following the blog and sending me messages and/or leaving comments -- it always brightens my day to hear from readers! http://tinyurl.com/cy7x9a?(from April 1) announced the new

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

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'

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,

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

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 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 recently came across a flyer from REvolution Computing, and I wanted to ask if this is R going private? Tony. [[alternative HTML version deleted]]

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?