similar to: RE: [R] ^ operation much slower in R 1.7.1 than in R 1.7 .0 ???

I have both the CRAN binary and my own compiled version of R v1.7.1 on the same machine (Dell Pentium III 800 MHz running NT 4) Using the example provided earlier: > phi <- 1.6180339887498949 > a <- floor(runif(750000)*1000) > system.time(b <- (phi^a - (-phi)^(-a))/sqrt(5))[3] I get 10.99 secs on the CRAN binary and 2.09 secs on my own compiled version. I hope this helps

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

I have been building a package around a sequence of S4 classes which I have coded in separate *.R files in the "./R" subdirectory of the package. The package builds without error, but when I load it in R I get: Error in reconcilePropertiesAndPrototype(name, slots, prototype, superClasses) : Class "xxxx" extends an undefined class ("yyyyyy" I guess R is trying to

Has there been a recent change in the behavior of binary operators? In SparseM it was, until quite recently ok to do scalar multiplication but now, > A*4 Error in A * 4 : non-numeric argument to binary operator > 4*A Error in 4 * A : non-numeric argument to binary operator > A%*%A An object of class "matrix.csr" Slot "ra": [1] 1 1 1 Slot "ja": [1] 1 2 3

I am having problems getting the unz() function to work as a connection to start reading a file... z <- unz("c:/temp/stoxx.zip", "close_tmi_components.txt", "r") readLines(z,2) yields the following problems: > z <- unz("c:/temp/stoxx.zip", "close_tmi_components.txt", "r") Error in unz("c:/temp/stoxx.zip",

It concerns trival diagonal matrices: > diag(1) [,1] [1,] 1 > diag(rnorm(1)) <0 x 0 matrix> > diag(rnorm(1),nrow=1) [,1] [1,] 0.4843697 There's an obvious work around... but I thought it was worth notifying the list. Regards, John Marsland ********************************************************************** This is a commercial communication from

Does anybody have a tuned Rblas.dll compiled against ALTLAS for a dual Xeon system? Unfortunately, we have very strict security that does not allow compilers of any sort on production desktops - we only have Pentium III development PCs. Regards, John Marsland ********************************************************************** This is a commercial communication from Commerzbank AG.\ \

I have been having problems making the recommended packages under windows NT when WINHELP is set to NO. It seems to go ahead and create the chm files and then fall over with an error. The base packages work fine. Clearly I can fix this myself messily, but I thought it might be useful feedback. Regards, John Marsland _ platform i386-pc-mingw32 arch i386 os mingw32 system

I have justed upgraded R v1.7.0 on Windows NT 4 and have installed the latest RMySQL (version 0.5-1)and DBI (version 0.1-5) packages. When I issue the following commands (tactfully adjusted) R just crashes and disappears, any ideas? require(RMySQL) m <- dbDriver("MySQL") con <- dbConnect(m, dbname="xxx", user="xxx", password="xxx",

I have been writing some S4 classes and have a problem about how I might pass a signature to "c()". Take the following example: setClass("collection", representation("list", date="POSIXt")) x <- new("collection", list(1,2,3), date=Sys.time()) y <- new("collection", list(4,5,6), date=Sys.time()) obviously, I can do c(x,y), but

I am having problems porting a package to R-1.8.0 where I have complex S4 classes with slots inheriting from POSIXct. For example: > setClass("test1", representation(date="POSIXct")) [1] "test1" > new("test1", date=as.POSIXct("2003-10-09")) Error in ext@test(object) : couldn't find function "%in %" Under R-1.7.1 this worked

Yes, lots of packages do use C/Fortran code ... it would be great if there were more packages that are "pure R" especially since the advent of S4 classes and namespaces. Is it worth suggesting that we create a designation "pure R" for packages that have no external source code and encourage more of these? Indeed, now the number of packages is so big could they be classified to

Might it be an idea to make "?" a special operator akin to "+" or "[", R users could then write their own help functions - may be even making "?" generic? With the proposed xml help system one could imagine quite sophisticated context sensitive help systems. Regards, John Marsland PS this has been a very useful debate for those of us enthusiastically

try "%%" as the modulus operator and "%/%" for integer division eg 5%%2 equals 1 John Marsland > > -----Original Message----- > > From: Anna H. Pryor [mailto:anna at ptolemy.arc.nasa.gov] > > Sent: 19 May 2003 16:56 > > To: R Help > > Subject: [R] modulus operator? > > > > > > > > Is there a modulus operator in R?

I'm sure that many people are in the same position as me in that they are trying to write packages and code that is vaguely "future proof". Would it be possible to get some guidance on how the R-core team see the evolution of the "base" package with regard to s4 methods. There seem to be quite a lot of inconsistencies between s3 and s4 methods and classes currently and

I am having difficulty using in 1.8.0 an object created under 1.7.1. The following is a 'minimal example' of the issue. First the part in 1.7.1: > require("methods") [1] TRUE > setClass("foo",representation("vector",label="character")) [1] "foo" > x <- new("foo",1:2,label=LETTERS[1:2]) >

Does anybody have some simple instructions to get me going using the GNU debugger GDB under windows with R? The R Extensions manual mentions briefly debugging under unix, but I've seen seen GDB mention in the Bloodshed Dev C++ IDE so it should be possible to use it with R? Regards, John [Using R-1.8.0 under Windows NT 4.0]

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

Hi, I was just looking at the "CRAN Daily Package Check Results" [http://cran.r-project.org/src/contrib/checkSummary.html], and realized there are 1000 packages on CRAN as of today (look at row 3 in the table below). Yet another quite extraordinary milestone in R history. Last updated on 2007-04-12 11:48:32 Results for installing and checking packages using the three current flavors