similar to: [R-gui] RE: The hidden costs of GPL software?

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

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, 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),

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

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

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

Sorry for this off-topic subject. I am fighting for running SJava under Windows. SJava_0.64 (compiled by Simon Urbanek, thanks), R 1.6.2, Java JDK 1.4.0_02, Windows XP pro: > library(SJava) > .JavaInit() Error in .JavaInit() : Couldn't start Java Virtual Machine: Cannot find the Omegahat interface manager class. Check you classpath! > # And the second time... > .JavaInit() It

Hello, This message is little off-topic in R-help. Sorry for that, but not all interested people are wired yet to r-sig-gui (http://www.stat.math.ethz.ch/mailman/listinfo/r-sig-gui). Thanks for your comprehension. A preview version of SciViews (a Graphical User Interface for R under Windows, http://www.sciviews.org) was released a few weeks ago. Since then, the Web site recorded several

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

This only happens if 'file' is a text connection, and is the expected behaviour in that case: you cannot capture an incomplete line to a text connection. There seems no reason to break the documented behaviour in other cases to change something that you consider to a bug when file=NULL and the user does not produce complete output. It would be possible to make use of isIncomplete()

Hi, For those who are interested, I have update my R benchmark (to version 1.5.0) and also to Splus 6. They are available at: http://www.sciviews.org/other/benchmark.htm. A comparison is made between Matlab (5.3 & 6), R 1.5.0, Splus 6 rel 2, O-Matrix 5.1, Octave 2.1.31, Scilab 2.6, Rlab 2.1 and OX 3.00 under Windows 2000 pro. Overall, R is not the fastest package, but it is one of the

Hi, I was able to connect to a MySQL database (called "zooscan" and with a table "serie" under Win XP with R 1.6.2 using: > library(DBI) > library(RMySQL) Warning message: DLL attempted to change FPU control word from 8001f to 9001f > drv <- dbDriver("MySQL") > con <- dbConnect(drv, dbname="zooscan") > dbExistsTable(con,

Hello, In the latest 'Scientific Computing World' magazine (issue 78, p. 22), there is a review on free statistical software by Felix Grant ("doesn't have to pay good money to obtain good statistics software"). As far as I know, this is the first time that R is even mentioned in this magazine, given that it usually discuss commercial products. In this article, the analysis

Hello, In the latest 'Scientific Computing World' magazine (issue 78, p. 22), there is a review on free statistical software by Felix Grant ("doesn't have to pay good money to obtain good statistics software"). As far as I know, this is the first time that R is even mentioned in this magazine, given that it usually discuss commercial products. In this article, the analysis

as.integer() truncates doubles toward zero, as Splus does (at least v. 6.1 under Windows does). Thus: > look <- (10 * seq(14)) - 76 > 10 * (73.1 + look) [1] 71 171 271 371 491 586 681 791 886 981 1101 1201 1301 1401 > as.integer(10 * (73.1 + look)) [1] 70 170 270 370 490 586 681 791 886 981 1101 1201 1301 1401 ... It is not documented in R! I propose appending

Hi, I have submitted a package to CRAN in ftp://ftp.tuwien.ac.at/incoming/pastecs_1.0.tar.gz. The R extension manual advises to send a mail to cran at ci.tuwien.ac.at about it, but it fails. I have also tried WWWadmin at ci.tuwien.ac.at. Are these email adresses still valid? Best, Philippe Grosjean ...........]<(({?<...............<?}))><............................... ) ) ) )

Hi, Under Windows, I am exporting graphs from R (in metafile -emf- format), and want to combine them using a graphic package. It happens that the background of the graph is represented by a filled rectangle (with the color given by bg=...). This is to be expected. However, I find no options to disable this and produce a graph with transparent background. Does such an option exist? If not, then

Hello all, Since I got no answer to my first mail, I suspect I did not formulate my question adequately, so I try again. In R, one can debug or trace a function 'foo' with debug(foo) or trace(foo), respectively. This leads to a special treatment of the function 'foo' until one enter undebug(foo) or untrace(foo). I would like to know if there is a convenient way to know at any

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