similar to: as.logical(factor) behaviour

Hello, I am looking for more information about lazy loading introduced in R 2.0.0. Doing ?lazyLoad I got some and there is a 'see also' section that points to 'makeLazyLoading'... But I cannot reach this page. My problem is: I recompiled a library that uses a lot of functions from other libraries (of course I can give details if needed). I load it in my computer: library(svGUI),

Bars are not stacked, but superimposed. This happens even with the first example of barplot: tN <- table(Ni <- rpois(100, lambda=5)) r <- barplot(tN, col='gray') --please do not edit the information below-- Version: platform = i386-pc-mingw32 arch = i386 os = mingw32 system = i386, mingw32 status = major = 1 minor = 9.0 year = 2004 month = 04 day = 12

Hello Rusers, I have worked on a R Wiki page for solutions in exporting R graphs, especially, the often-asked questions: - How can I export R graphs in vectorized format (EMF) for inclusion in MS Word or OpenOffice outside of Windows? - What is the best solution(s) for post-editing/annotating R graphs. The page is at: http://wiki.r-project.org/rwiki/doku.php?id=tips:graphics-misc:export. I

Please help, I have SciViews(svGUI) and Rcmdr but when the SciViews Console opens the R commander menu don't work. Any ideas anybody? --------------------------------- 8:00? 8:25? 8:40? Find a flick in no time [[alternative HTML version deleted]]

Hi All, I've just rebuild the latest R with the Goto BLAS on our new Intel quad core machines. I did a few basic matrix calculations, and I was very impressed by the performance I saw. I wonder if anyone has a more rigorous benchmarking program for R. I downloaded a old R test/benchmarking program (see below), and this didn't work with the current R, and so I wondered if anyone could

Forwarded to R-Help, because I think it could interest people following this thread. Clearly, RServe and svSocket have different goals and very little overlap. Best, Philippe -------- Original Message -------- Subject: Re: Video demo of using svSocket with data.table Date: Wed, 26 Aug 2009 20:34:19 +0100 From: Matthew Dowle <mdowle at mdowle.plus.com> Reply-To: Matthew Dowle

Hello, I just notice this: > x <- c(1:4,0:5, 4, 11) > library(pastecs) Loading required package: boot > tp <- turnpoints(x) > extract(tp, no.tp = FALSE, peak = TRUE, pit = FALSE) [1] FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE Warning message: arguments after the first two are ignored in: UseMethod("extract", e, n, ...) >

Dear R Helpers, Does anyone know how to use tcltk to display jpeg images? The manual says that one must use Tk_PhotoCreateImageFormat to register the jpeg image handler. The "ActiveTcl User Guide" (http://support.serv.ch/lang/tcl/img/doc/img-jpeg.html) says:- "The package img::jpeg is a sub-package of Img. It can be loaded as a part of the complete Img support, via package require

Dear r-help members I posted this message already yesterday, but don't know whether it reached you since I joined the group only yesterday. I would like to estimate the boxcox transformed model (y^t - 1)/t ~ b0 + b1 * x. Unfortunately, R returns with an error message when I try to perform this with the call nls( I((y^t - 1)/t) ~ I(b0 + b1*x), start = c(t=1,b0=0,b1=0), data = mydataframe)

Hello all R developers, I just send the official annoucement of the R Wiki at http://wiki.r-project.org (was also officially annouced at useR!2006). I would like to insist here on the aspects of the Wiki that could be of particular interest for you, as R developer: 1) The 'R documentation' section is dedicated to hold the latest "wikified" version of all Rd files (base,

Happy New Year, r-helpers! I am using lowess to smooth a scatter plot, xx<-lowess(xinput,f=.04) #defaults for other args followed by turnpoints(xx$y) #defaults for other args I plot the smoothed result as well as turnpoints (using yy$tppos) on top of raw data plot. Result is exactly as expected, graphically. For another purpose, I calcuate the difference between turnpoints (representing

Hello, I like much addTaskCallback() and friends. However, there are situations were we would like to have a function run BEFORE, not after every top-level tasks. I think specifically to reset options(width = ) to accommodate to the current width of the console, using something like: options(width = system("tput cols")) I am sure there are many other situations where this could be

Hi, This is (presumably?) a bug in R 1.7.0 under Windows. I have not tested it on other systems. Attachment of packages is case sensitive but not library(), resulting in multiple loadings of the same package if the library name is spelled differently. The following example loads the `tools' package, once as `tools' and once as `Tools'. This behavior is the same with all packages and

Hello, Following a discussion initiated on r-devel, that mentions SciViews-R and other GUIs issues for R, I would like to make comments (and would be happy if these comments would initiate interesting initiatives). A big, big problem with SciViews-R is that a part of it is written in Visual Basic 6, a M$$$$ language, not supported any more, buggy, non transposable to other platforms, etc,

John W. Eaton wrote: > On 17-Nov-2004, Philippe Grosjean <phgrosjean at sciviews.org> wrote: > > | - There is no possibility to make a commercial GUI for R (thanks to > | the GPL), > > This is false. Please don't confuse "commercial" (Red Hat > and SuSE GNU/Linux distributions are commercial software) > with "proprietary". > > jwe

I do not understand what happens here (under Win XP): a <- abs(matrix(rnorm(800*800)/2, ncol=800, nrow=800)) system.time(b <- a^1000)[3] took about 1 sec on my computer with R 1.7.0 and it takes now 4.59 sec with R 1.7.1 Similarly, phi <- 1.6180339887498949 a <- floor(runif(750000)*1000) system.time(b <- (phi^a - (-phi)^(-a))/sqrt(5))[3] took about 0.9 sec with R 1.7.0, and it

I do not understand what happens here (under Win XP): a <- abs(matrix(rnorm(800*800)/2, ncol=800, nrow=800)) system.time(b <- a^1000)[3] took about 1 sec on my computer with R 1.7.0 and it takes now 4.59 sec with R 1.7.1 Similarly, phi <- 1.6180339887498949 a <- floor(runif(750000)*1000) system.time(b <- (phi^a - (-phi)^(-a))/sqrt(5))[3] took about 0.9 sec with R 1.7.0, and it

Hello, I do not understand the following behaviour. Could someone explain me what happens? > a <- NULL > a$item <- 1:3 > a$item [1] 1 2 3 > rm(a) > a <- NULL > a[["item"]] <- 1:3 Error: more elements supplied than there are to replace Why do I get an error message using list[["item"]], and not using list$item? Best, Philippe Grosjean

Hello, I need a similar behaviour as with the prompt: asking to complete incomplete R command with eval(parse(text = ....)) Is it a way to make the difference between an illegal and an incomplete R command in a string? For instance: > parse(text="ls()") expression(ls()) This is fine! > parse(text="ls(") Error in parse(file, n, text, prompt) : parse error This is an

OK, I have made a little search about this "problem" that apparently occurs only on Windows platform... (but I am sure most of you are already aware of it): the slow down is due to the adoption of a different algorithm for pow in mingw 3.x. This is motivated by some other changes in mingw. Here is a quote of Danny Smith that did this change: >When mingw changed default FPU settings