similar to: rbind() very slow

Hello everybody, I am making a modified version of "Stephan Steinhaus' benchmark test for number crunching, v. 2, (see http://www.scinetificweb.com/ncrunch/ncrunch.pdf for the original version), comparing several functions of some math/stat software. R is not performing bad at all... except for the sorting of a 1,100,000 random vector (test #3) which is the worst of all (see cell F3 in

Hello everybody, I am making a modified version of "Stephan Steinhaus' benchmark test for number crunching, v. 2, (see http://www.scinetificweb.com/ncrunch/ncrunch.pdf for the original version), comparing several functions of some math/stat software. R is not performing bad at all... except for the sorting of a 1,100,000 random vector (test #3) which is the worst of all (see cell F3 in

>>>>> "PG" == Philippe Grosjean <phgrosje at ulb.ac.be> writes: PG> I am interested by your list of students wishes, since I am PG> developing a GPL user interface for math/stat calculation PG> engines (among others: R and Splus, but also Octave, Scilab PG> and Mathematica,...). It will run under Windows only (for the PG> moment),

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 ...........]<(({?<...............<?}))><............................... ) ) ) )

It's two days I try to answer to a mail of Achim Zeileis, the maintainer of strucchange package, using the mail address: zeileis at ci.tuwien.ac.at. I got the following error: ----- The following addresses had permanent fatal errors ----- <zeileis at ci.tuwien.ac.at> (reason: 550 5.7.1 <zeileis at ci.tuwien.ac.at>... Access denied) Can anyone tell me how to reach him?

using: identify(...., plot=FALSE) allows identifying points in a graph without printing the corresponding label in the graph. This works fine in R for Windows. However, when I copy the graph as metafile into Word, the corresponding label appears in black font in the copied picture. Obviously, identify() prints the label anyway, in "invisible" font or so, in the graph, and this

Hello, I am doing several self-starting growth functions for using with nls(). When I list the self-starting functions included in nls library, for instance, SSlogis, there is: > SSlogis function (input, Asym, xmid, scal) ... <environment: 03476D20> attr(,"class") [1] "selfStart" What is this <environment: 03476D20> instruction? By using deriv() and then

Generalised Inverse: The Moore-Penrose Generalisied Inverse is probably better defined as a pseudo-Inverse that arises in solving least squares problems. Another well known pseudo-Inverse is the so-called Drazin pseudo-Inverse. If memory serves (and it's been 10-12 years!) it can be obtained via a diagonalisation. Anyway, I dare say Prof. Ripley (among others) probably has "all the

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

Hello, I would like to plot two superposed surfaces (original data, and smoothed models). Basically, I would like to create a usual persp plot with box, and then superpose a second surface (without box and axes) on the top plane of the box defined by the first graph. I don't know if it is clear :-( Is it possible to draw such a second surface in an existing persp plot in R? Another (related)

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

Thorsten is right. There is a direct formula for computing the Moore-Penrose inverse using the singular value composition of a matrix. This is incorporated in the following: mpinv <- function(A, eps = 1e-13) { s <- svd(A) e <- s$d e[e > eps] <- 1/e[e > eps] return(s$v %*% diag(e) %*% t(s$u)) } Hope it helps. Dietrich

Hello, nls library provides 6 self-starting models, among them: SSfp, a four parameters logistic function. Its self-starting procedure involves several steps. One of these steps is: pars <- as.vector(coef(nls(y ~ cbind(1, 1/(1 + exp((xmid - x)/exp(lscal)))), data = xydata, start = list(lscal = 0), algorithm = "plinear"))) which assumes an initial value of lscal equal to 0. If lscal

Hi all, I try to use the hdf5 package. I downloaded the Windows binary version, and it claims it requires hdf5dll.dll library, so I download the whole hdf5 1.4.3 package from NCSA. Unfortunatelly, it crashes R. I suspect it is because the package was probably compiled against version 1.2 of hdf5 (as evoked in the help file?) or any other previous version, so I downloaded the source of the package

Hi Jason, I suppose you installed the Matrix library, and it is working on your computer? If yes, may be det.Matrix() was removed, or renamed in the Matrix library you have (I cannot check this for the latest version, because I am away of the office until August 1st), but I will do that next week. In the meantime, you can replace 'det.Matrix' by 'det.default', and it should run.

Dear all, I am trying to get an estimate of the intercept for a linear model. In this case, I know the slope of the model, can anyone tell me how to constrain the formula in lm() so that it only estimates the intercept not the slope? Many thanks in advance, Sincerely, Liqing Zhang Dept. of Eco. Evol. Biol. Univ. of CA, Irvine email: lzhang at uci.edu >From VM Mon Apr 30 08:18:45 2001

Hi I want to add a row to a "data.table" in each round of a for loop. "rbind" seems to be a inefficient way to implement this. How would you do this? The "slow" solution: library(data.table) Rprof("test.out") dt <- data.table() for (i in (1:10000)) { # algorithm that generates a list with different values, # but same key-names, each round, for

Dear *, I have to perform an ANOVA analysis to study the effects on the performance of some algorithmic components in the design of my algorithm. I have done a full factorial design for the following 5 factors (my response variable is "best"): $ model :'data.frame': 3360 obs. of 6 variables: ..$ best : num [1:3360] 0.108 0.573 0.625 1.057 0.451 ...

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),

Dear list, I am trying to use the SSOAP package to access a very simple SOAP service, included as a demonstrator in the axis2 Apache package: "Version" (takes no input parameters and should return a string with the version number). The web service itself seems to be working as I could access it using an other client (eclipse Web Server tester). You will find the service wsdl here: